Experiment.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "import igraph as ig\n",
    "import itertools\n",
    "import networkx as nx\n",
    "import difflib\n",
    "import matplotlib.pyplot as plt #to plot data\n",
    "import math\n",
    "import numpy as np\n",
    "#K-clique community detection\n",
    "from networkx.algorithms.community.kclique import k_clique_communities\n",
    "#Fast greedy modulartiy algorithm\n",
    "from networkx.algorithms.community.modularity_max import greedy_modularity_communities\n",
    "#Label Propagation algorithms\n",
    "##Not implemented for directed graphs.\n",
    "from networkx.algorithms.community.label_propagation import label_propagation_communities\n",
    "from networkx.algorithms.community.label_propagation import asyn_lpa_communities\n",
    "#The asynchronous fluid communities algorithm\n",
    "from networkx.algorithms.community.asyn_fluid import asyn_fluidc\n",
    "#Girvan-Newman\n",
    "from networkx.algorithms.community.centrality import girvan_newman"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "#This function takes the membership list and attribute as a parameter\n",
    "#Adds the membership values to each vertex with given name\n",
    "def attributer(benchmark, com_list, attr_name):\n",
    "    z = 1\n",
    "    for i in com_list:\n",
    "        a = sorted(i)\n",
    "        for j in a:\n",
    "            benchmark.vs[(int(j[1:]))][attr_name] = z\n",
    "        z = z + 1\n",
    "    return;\n",
    "\n",
    "#This function brings the vertex names from corresponding community\n",
    "def get_comm(benchmark, attr_name, index):\n",
    "    vs, comms, ccom, j = [],[],[],1\n",
    "    for i in range(len(benchmark.vs)):\n",
    "        if benchmark.vs[i][attr_name]:\n",
    "            if benchmark.vs[i][attr_name] is not None:\n",
    "                if math.isnan(benchmark.vs[i][attr_name]) == False:\n",
    "                    vs.append(int(benchmark.vs[i][attr_name]))\n",
    "    for j in range(1,max(vs)+1):\n",
    "        for i in range(len(benchmark.vs)):\n",
    "            if benchmark.vs[i][attr_name] == j: ccom.append(int(benchmark.vs[i][\"name\"]))\n",
    "        comms.append(sorted(ccom))\n",
    "        ccom = []\n",
    "    return(comms[index])\n",
    "\n",
    "def get_comms(benchmark, attr_name):\n",
    "    vs, comms, ccom, j = [],[],[],1\n",
    "    for i in range(len(benchmark.vs)):\n",
    "        if benchmark.vs[i][attr_name]:\n",
    "            if benchmark.vs[i][attr_name] is not None:\n",
    "                if math.isnan(benchmark.vs[i][attr_name]) == False:\n",
    "                    vs.append(int(benchmark.vs[i][attr_name]))\n",
    "    for j in range(1,max(vs)+1):\n",
    "        for i in range(len(benchmark.vs)):\n",
    "            if benchmark.vs[i][attr_name] == j: ccom.append(int(benchmark.vs[i][\"name\"]))\n",
    "        if ccom != []:\n",
    "            comms.append(sorted(ccom))\n",
    "            ccom = []\n",
    "    return(comms)\n",
    "\n",
    "#This function returns the average of non-zero values in the matrix\n",
    "def nonzeroavg(m):\n",
    "    total, index, lmax = 0, 0, 0\n",
    "    for i in m:\n",
    "        for j in i:\n",
    "            if j != 0:\n",
    "                if j > float(lmax):\n",
    "                    lmax = j\n",
    "                    total = total + j\n",
    "                    index = index + 1\n",
    "        lmax = 0\n",
    "    if index != 0:\n",
    "        avg = total/index\n",
    "    else: avg = 0\n",
    "    return avg;\n",
    "\n",
    "#This function returns the sequence matching ratio matrix\n",
    "'''ratio() returns a float in [0, 1], measuring the similarity of the sequences.\n",
    "As a rule of thumb, a ratio() value over 0.6 means the sequences are close matches:'''\n",
    "def seq_match(a, b):\n",
    "    res, r = [], []\n",
    "    for i in a:\n",
    "        for j in b:\n",
    "            s = difflib.SequenceMatcher(None, i, j)\n",
    "            r.append(float(\"{0:.3f}\".format(s.ratio())))\n",
    "        res.append(r)\n",
    "        r = []\n",
    "    return res\n",
    "\n",
    "#Clique Percolation method\n",
    "#This method is taken from a github project\n",
    "#https://gist.github.com/conradlee/1341933#file-clique_percolation-py\n",
    "def get_percolated_cliques(G, k):\n",
    "    perc_graph = nx.Graph()\n",
    "    cliques = list(frozenset(c) for c in nx.find_cliques(G) if len(c) >= k)\n",
    "    perc_graph.add_nodes_from(cliques)\n",
    "    \n",
    "    # Add an edge in the clique graph for each pair of cliques that percolate\n",
    "    for c1, c2 in itertools.combinations(cliques, 2):\n",
    "        if len(c1.intersection(c2)) >= (k - 1):\n",
    "            perc_graph.add_edge(c1, c2)\n",
    "\n",
    "    for component in nx.connected_components(perc_graph):\n",
    "        yield(frozenset.union(*component))\n",
    "        \n",
    "#Maximum ratio is the first element in the output\n",
    "#Printing the first n elements of the list - highest n ratios.\n",
    "#Print the indexes of the n highest ratio values - from highest to lowest\n",
    "\"\"\"Params:\n",
    "@ratio: the ratio matrix for first and second clustering to compare\n",
    "@n    : number of values to print\n",
    "@f    : first clustering\n",
    "@s    : second clustering\n",
    "\"\"\"\n",
    "def getHighestRatios(ratio, n, f, s, lmtr):\n",
    "    m_index = []\n",
    "    lastval = []\n",
    "    for i in sorted(np.partition(np.asarray(ratio).flatten(), -2)[-n:], reverse = True):\n",
    "        m_ = [(index, row.index(i)) for index, row in enumerate(ratio) if i in row]\n",
    "        if m_ != lastval:\n",
    "            m_index = m_index + m_\n",
    "        lastval = m_\n",
    "    rList = sorted(np.partition(np.asarray(ratio).flatten(), -2)[-n:], reverse = True)\n",
    "    printStuff(m_index, rList, f, s, lmtr)\n",
    "    return;\n",
    "\n",
    "def getHighestRatioList(ratio, n):\n",
    "    return sorted(np.partition(np.asarray(ratio).flatten(), -2)[-n:], reverse = True);\n",
    "\n",
    "def printStuff(m_index, rList, f, s, lmtr):\n",
    "    for i,j in zip(rList, m_index):\n",
    "        if i > lmtr:\n",
    "            print(\"Sequental matching ratio: %f\" % i)\n",
    "            print(\"Index: %d - %d\" % j)\n",
    "            print(s[j[1]])\n",
    "            print(f[j[0]])\n",
    "            print(\"----------------------\")\n",
    "    return;\n",
    "\n",
    "sprtr = \"---------------------------------------\"\n",
    "\n",
    "def convertStringList(comms):\n",
    "    a = []\n",
    "    for i in range(len(comms)):\n",
    "        b = []\n",
    "        for j in range(len(comms[i])):\n",
    "            c = []\n",
    "            for z in range(len(comms[i][j])):\n",
    "                c.append(int(comms[i][j][z]))\n",
    "            b.append(c)\n",
    "            c = []\n",
    "        a.append(b)\n",
    "        b = []\n",
    "    return comms;"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Name: Test 75 A and B\n",
      "Type: DiGraph\n",
      "Number of nodes: 75\n",
      "Number of edges: 266\n",
      "Average in degree:   3.5467\n",
      "Average out degree:   3.5467\n",
      "---------------------------------------\n",
      "Name: Test 100 A and B\n",
      "Type: DiGraph\n",
      "Number of nodes: 100\n",
      "Number of edges: 482\n",
      "Average in degree:   4.8200\n",
      "Average out degree:   4.8200\n",
      "---------------------------------------\n",
      "Name: Test400 1 and 2\n",
      "Type: DiGraph\n",
      "Number of nodes: 400\n",
      "Number of edges: 5618\n",
      "Average in degree:  14.0450\n",
      "Average out degree:  14.0450\n",
      "---------------------------------------\n",
      "Name: Test 1000 A and B\n",
      "Type: DiGraph\n",
      "Number of nodes: 1000\n",
      "Number of edges: 5297\n",
      "Average in degree:   5.2970\n",
      "Average out degree:   5.2970\n"
     ]
    }
   ],
   "source": [
    "t75 = nx.read_graphml(\"Graphml_Networks/test75.graphml\")\n",
    "t100 = nx.read_graphml(\"Graphml_Networks/test100.graphml\")\n",
    "t400 = nx.read_graphml(\"Graphml_Networks/test400.graphml\")\n",
    "t1000 = nx.read_graphml(\"Graphml_Networks/test1000.graphml\")\n",
    "print(nx.info(t75))\n",
    "print(sprtr)\n",
    "print(nx.info(t100))\n",
    "print(sprtr)\n",
    "print(nx.info(t400))\n",
    "print(sprtr)\n",
    "print(nx.info(t1000))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Number of communities found in test75 com A: 3.0\n",
      "Number of communities found in test75 com B: 8.0\n",
      "---------------------------------------\n",
      "Number of communities found in test100 com A: 4.0\n",
      "Number of communities found in test100 com B: 8.0\n",
      "---------------------------------------\n",
      "Number of communities found in test400 com A: 15.0\n",
      "Number of communities found in test400 com B: 48.0\n",
      "---------------------------------------\n",
      "Number of communities found in test1000 com A: 39.0\n",
      "Number of communities found in test1000 com B: 3.0\n",
      "---------------------------------------\n"
     ]
    }
   ],
   "source": [
    "#Community ID's start with 1, not 0.\n",
    "graphs = [t75, t100, t400, t1000]\n",
    "gnames = [\"test75\", \"test100\", \"test400\", \"test1000\"]\n",
    "for i in range(4):\n",
    "    cia, cib = nx.get_node_attributes(graphs[i], \"Cluster_ID_A\"), nx.get_node_attributes(graphs[i], \"Cluster_ID_B\")\n",
    "    cia, cib = list(cia.values()), list(cib.values())\n",
    "    print(\"Number of communities found in %s com A: %s\"% (gnames[i], max(cia)))\n",
    "    print(\"Number of communities found in %s com B: %s\"% (gnames[i], max(cib)))\n",
    "    print(sprtr)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Number of communities found in test75: 5\n",
      "['n0', 'n1', 'n11', 'n13', 'n14', 'n15', 'n16', 'n17', 'n18', 'n19', 'n21', 'n22', 'n24', 'n25', 'n26', 'n27', 'n28', 'n29', 'n3', 'n31', 'n32', 'n33', 'n34', 'n35', 'n36', 'n37', 'n38', 'n39', 'n4', 'n40', 'n41', 'n42', 'n43', 'n44', 'n45', 'n46', 'n47', 'n48', 'n49', 'n50', 'n51', 'n52', 'n53', 'n54', 'n55', 'n56', 'n57', 'n58', 'n59', 'n6', 'n60', 'n61', 'n62', 'n63', 'n64', 'n65', 'n66', 'n67', 'n68', 'n69', 'n70', 'n71', 'n72', 'n73', 'n74', 'n8', 'n9']\n",
      "['n61', 'n7', 'n71']\n",
      "['n34', 'n53', 'n54']\n",
      "['n2', 'n30', 'n39']\n",
      "['n23', 'n44', 'n48']\n",
      "---------------------------------------\n",
      "Number of communities found in test100: 2\n",
      "['n18', 'n21', 'n33', 'n40', 'n7', 'n87', 'n96']\n",
      "['n0', 'n1', 'n10', 'n11', 'n12', 'n13', 'n14', 'n15', 'n16', 'n17', 'n18', 'n19', 'n2', 'n20', 'n21', 'n22', 'n23', 'n24', 'n25', 'n26', 'n27', 'n28', 'n29', 'n3', 'n30', 'n31', 'n32', 'n34', 'n35', 'n36', 'n37', 'n38', 'n39', 'n4', 'n41', 'n42', 'n43', 'n44', 'n45', 'n46', 'n47', 'n48', 'n49', 'n5', 'n50', 'n51', 'n52', 'n53', 'n54', 'n55', 'n56', 'n57', 'n58', 'n59', 'n6', 'n60', 'n61', 'n62', 'n63', 'n64', 'n65', 'n66', 'n67', 'n68', 'n69', 'n70', 'n71', 'n72', 'n73', 'n74', 'n75', 'n76', 'n77', 'n78', 'n79', 'n8', 'n80', 'n81', 'n82', 'n83', 'n84', 'n85', 'n86', 'n87', 'n88', 'n89', 'n9', 'n90', 'n91', 'n92', 'n93', 'n94', 'n95', 'n96', 'n97', 'n98', 'n99']\n",
      "---------------------------------------\n",
      "Number of communities found in test400: 4\n",
      "['n0', 'n1', 'n10', 'n100', 'n101', 'n102', 'n103', 'n104', 'n105', 'n106', 'n107', 'n108', 'n109', 'n11', 'n110', 'n111', 'n112', 'n113', 'n114', 'n115', 'n116', 'n117', 'n118', 'n119', 'n12', 'n120', 'n121', 'n122', 'n123', 'n124', 'n125', 'n126', 'n127', 'n128', 'n129', 'n13', 'n130', 'n131', 'n132', 'n133', 'n134', 'n135', 'n136', 'n137', 'n138', 'n139', 'n14', 'n140', 'n141', 'n142', 'n143', 'n144', 'n145', 'n146', 'n147', 'n148', 'n149', 'n15', 'n150', 'n151', 'n152', 'n153', 'n154', 'n155', 'n156', 'n157', 'n158', 'n159', 'n16', 'n160', 'n161', 'n162', 'n163', 'n164', 'n165', 'n166', 'n167', 'n168', 'n169', 'n17', 'n170', 'n171', 'n172', 'n173', 'n174', 'n175', 'n176', 'n177', 'n178', 'n179', 'n18', 'n180', 'n181', 'n182', 'n183', 'n184', 'n185', 'n186', 'n187', 'n188', 'n189', 'n19', 'n190', 'n191', 'n192', 'n193', 'n194', 'n195', 'n196', 'n197', 'n198', 'n199', 'n2', 'n20', 'n200', 'n201', 'n202', 'n203', 'n204', 'n205', 'n206', 'n207', 'n208', 'n209', 'n21', 'n210', 'n211', 'n212', 'n213', 'n214', 'n215', 'n216', 'n217', 'n218', 'n219', 'n22', 'n220', 'n221', 'n222', 'n223', 'n224', 'n225', 'n226', 'n227', 'n228', 'n229', 'n23', 'n230', 'n231', 'n232', 'n233', 'n234', 'n235', 'n236', 'n237', 'n238', 'n239', 'n24', 'n240', 'n241', 'n242', 'n243', 'n244', 'n245', 'n246', 'n247', 'n248', 'n249', 'n25', 'n250', 'n251', 'n252', 'n253', 'n254', 'n255', 'n256', 'n257', 'n258', 'n259', 'n26', 'n260', 'n261', 'n262', 'n263', 'n264', 'n265', 'n266', 'n267', 'n268', 'n269', 'n27', 'n270', 'n271', 'n272', 'n273', 'n274', 'n275', 'n276', 'n277', 'n278', 'n279', 'n28', 'n280', 'n281', 'n282', 'n283', 'n284', 'n285', 'n286', 'n287', 'n288', 'n289', 'n29', 'n290', 'n291', 'n292', 'n293', 'n294', 'n295', 'n296', 'n297', 'n298', 'n299', 'n3', 'n30', 'n300', 'n301', 'n302', 'n303', 'n304', 'n305', 'n306', 'n307', 'n308', 'n309', 'n31', 'n310', 'n311', 'n312', 'n313', 'n314', 'n315', 'n316', 'n317', 'n318', 'n319', 'n32', 'n320', 'n321', 'n322', 'n323', 'n324', 'n325', 'n326', 'n327', 'n328', 'n329', 'n33', 'n330', 'n331', 'n332', 'n333', 'n334', 'n335', 'n336', 'n337', 'n338', 'n339', 'n34', 'n340', 'n341', 'n342', 'n343', 'n344', 'n345', 'n346', 'n347', 'n348', 'n349', 'n35', 'n350', 'n351', 'n352', 'n353', 'n354', 'n355', 'n356', 'n357', 'n358', 'n359', 'n36', 'n360', 'n361', 'n362', 'n363', 'n364', 'n365', 'n366', 'n367', 'n368', 'n369', 'n37', 'n370', 'n371', 'n372', 'n373', 'n374', 'n375', 'n376', 'n377', 'n378', 'n379', 'n38', 'n380', 'n381', 'n382', 'n383', 'n384', 'n385', 'n386', 'n387', 'n388', 'n389', 'n39', 'n390', 'n391', 'n392', 'n393', 'n394', 'n395', 'n396', 'n397', 'n398', 'n399', 'n4', 'n40', 'n41', 'n42', 'n43', 'n44', 'n45', 'n46', 'n47', 'n48', 'n49', 'n5', 'n50', 'n51', 'n52', 'n53', 'n54', 'n55', 'n56', 'n57', 'n58', 'n59', 'n6', 'n60', 'n61', 'n62', 'n63', 'n64', 'n65', 'n66', 'n67', 'n68', 'n69', 'n7', 'n70', 'n71', 'n72', 'n73', 'n74', 'n75', 'n76', 'n77', 'n78', 'n79', 'n8', 'n80', 'n81', 'n82', 'n83', 'n84', 'n85', 'n86', 'n87', 'n88', 'n89', 'n9', 'n90', 'n91', 'n92', 'n93', 'n94', 'n95', 'n96', 'n97', 'n98', 'n99']\n",
      "['n117', 'n134', 'n171', 'n284', 'n343']\n",
      "['n166', 'n296', 'n300']\n",
      "['n273', 'n33', 'n341']\n",
      "---------------------------------------\n",
      "Number of communities found in test1000: 257\n",
      "['n144', 'n455', 'n717']\n",
      "['n201', 'n473', 'n528', 'n551', 'n567', 'n590', 'n605', 'n655', 'n669', 'n676', 'n83', 'n916', 'n972', 'n988']\n",
      "['n384', 'n551', 'n919']\n",
      "['n140', 'n374', 'n696', 'n748']\n",
      "['n274', 'n658', 'n699']\n",
      "['n125', 'n274', 'n530']\n",
      "['n221', 'n474', 'n707', 'n942', 'n958']\n",
      "['n220', 'n295', 'n707']\n",
      "['n146', 'n176', 'n332', 'n872']\n",
      "['n107', 'n305', 'n401', 'n427', 'n45', 'n625', 'n699', 'n726', 'n798', 'n842', 'n855', 'n930', 'n933', 'n936', 'n949', 'n958', 'n964', 'n965', 'n977']\n",
      "['n31', 'n93', 'n99']\n",
      "['n261', 'n743', 'n93']\n",
      "['n363', 'n367', 'n480', 'n572', 'n782', 'n832', 'n857']\n",
      "['n126', 'n313', 'n388', 'n514', 'n785', 'n792', 'n831', 'n856', 'n886', 'n962']\n",
      "['n229', 'n663', 'n886', 'n948', 'n962']\n",
      "['n183', 'n266', 'n302', 'n426', 'n55', 'n680', 'n689', 'n700', 'n76', 'n783', 'n804', 'n867', 'n929', 'n946', 'n956']\n",
      "['n335', 'n341', 'n462', 'n488', 'n532', 'n569', 'n57', 'n580', 'n614', 'n664', 'n667', 'n723', 'n729', 'n747', 'n790', 'n805', 'n847', 'n912', 'n944']\n",
      "['n141', 'n237', 'n543', 'n586', 'n639', 'n878', 'n888', 'n9', 'n928', 'n982']\n",
      "['n157', 'n161', 'n226', 'n277', 'n531', 'n610', 'n688', 'n697', 'n734', 'n750', 'n765', 'n78', 'n859', 'n87', 'n922', 'n940', 'n950']\n",
      "['n115', 'n135', 'n170', 'n180', 'n234', 'n373', 'n403', 'n421', 'n468', 'n506', 'n555', 'n591', 'n635', 'n731', 'n759', 'n813', 'n817', 'n823', 'n833', 'n844', 'n849', 'n889', 'n911', 'n973']\n",
      "['n283', 'n636', 'n88']\n",
      "['n33', 'n529', 'n584', 'n643', 'n648', 'n74', 'n852', 'n876']\n",
      "['n103', 'n137', 'n145', 'n348', 'n35', 'n482', 'n483', 'n533', 'n637', 'n675', 'n693', 'n718', 'n828', 'n830', 'n885', 'n900', 'n905', 'n917', 'n992']\n",
      "['n18', 'n225', 'n265', 'n371', 'n396', 'n465', 'n472', 'n512', 'n523', 'n690', 'n710', 'n737', 'n762', 'n808', 'n821', 'n860', 'n909', 'n917', 'n938', 'n945', 'n978']\n",
      "['n405', 'n500', 'n674', 'n746', 'n786', 'n80', 'n835', 'n873', 'n881']\n",
      "['n167', 'n386', 'n522', 'n525', 'n810', 'n824', 'n892', 'n981']\n",
      "['n361', 'n524', 'n595', 'n804', 'n862', 'n867', 'n937']\n",
      "['n519', 'n728', 'n804']\n",
      "['n114', 'n151', 'n710', 'n874', 'n933']\n",
      "['n6', 'n687', 'n710']\n",
      "['n128', 'n412', 'n42']\n",
      "['n121', 'n124', 'n624']\n",
      "['n106', 'n115', 'n889']\n",
      "['n11', 'n448', 'n557', 'n742', 'n779', 'n926', 'n934']\n",
      "['n12', 'n174', 'n349', 'n383', 'n390', 'n498', 'n499', 'n636', 'n640', 'n742', 'n817', 'n827', 'n838', 'n882', 'n934', 'n983']\n",
      "['n289', 'n498', 'n7', 'n838', 'n926', 'n932', 'n934', 'n966', 'n97']\n",
      "['n236', 'n273', 'n460', 'n469', 'n566', 'n767', 'n808', 'n820', 'n827', 'n993']\n",
      "['n182', 'n232', 'n279', 'n281', 'n454', 'n620', 'n732', 'n755', 'n760', 'n763', 'n841', 'n864', 'n868', 'n87', 'n895', 'n901', 'n908', 'n918', 'n930', 'n967', 'n984', 'n990']\n",
      "['n160', 'n246', 'n362', 'n385', 'n400', 'n415', 'n428', 'n432', 'n443', 'n46', 'n470', 'n490', 'n516', 'n531', 'n554', 'n559', 'n593', 'n653', 'n660', 'n711', 'n775', 'n797', 'n810', 'n823', 'n903', 'n913', 'n915', 'n924', 'n931', 'n953', 'n955', 'n971']\n",
      "['n3', 'n428', 'n789']\n",
      "['n104', 'n119', 'n520']\n",
      "['n286', 'n420', 'n752']\n",
      "['n253', 'n275', 'n573', 'n883']\n",
      "['n109', 'n366', 'n413', 'n446', 'n527', 'n795', 'n921', 'n952', 'n985']\n",
      "['n336', 'n440', 'n626', 'n795']\n",
      "['n173', 'n619', 'n745', 'n775', 'n955']\n",
      "['n66', 'n720', 'n768']\n",
      "['n148', 'n154', 'n241', 'n242', 'n442', 'n547', 'n564', 'n617', 'n631', 'n645', 'n715', 'n822']\n",
      "['n843', 'n874', 'n94']\n",
      "['n247', 'n489', 'n956']\n",
      "['n247', 'n79', 'n883']\n",
      "['n486', 'n592', 'n799']\n",
      "['n692', 'n73', 'n774', 'n815']\n",
      "['n375', 'n408', 'n5', 'n652', 'n681', 'n780', 'n791', 'n853']\n",
      "['n436', 'n450', 'n681']\n",
      "['n574', 'n725', 'n739']\n",
      "['n574', 'n774', 'n956']\n",
      "['n195', 'n536', 'n574']\n",
      "['n165', 'n392', 'n654', 'n869']\n",
      "['n320', 'n726', 'n858', 'n939']\n",
      "['n571', 'n930', 'n939']\n",
      "['n699', 'n861', 'n939']\n",
      "['n47', 'n696', 'n708', 'n714']\n",
      "['n435', 'n733', 'n814']\n",
      "['n135', 'n215', 'n884']\n",
      "['n597', 'n600', 'n628', 'n884']\n",
      "['n19', 'n204', 'n30', 'n518', 'n582', 'n613', 'n623', 'n757', 'n850', 'n906', 'n95']\n",
      "['n30', 'n643', 'n649']\n",
      "['n687', 'n690', 'n759']\n",
      "['n142', 'n383', 'n505', 'n691', 'n957']\n",
      "['n309', 'n339', 'n398', 'n429', 'n493', 'n542', 'n581', 'n634', 'n673', 'n691', 'n704', 'n720', 'n768', 'n910', 'n921', 'n922', 'n947', 'n986']\n",
      "['n228', 'n679', 'n691', 'n807', 'n811', 'n846', 'n984']\n",
      "['n191', 'n847', 'n958']\n",
      "['n458', 'n487', 'n534', 'n741', 'n835', 'n881']\n",
      "['n211', 'n282', 'n353', 'n418', 'n424', 'n425', 'n464', 'n49', 'n560', 'n584', 'n638', 'n736', 'n787', 'n788', 'n796', 'n809', 'n914', 'n927', 'n935', 'n963', 'n964', 'n989']\n",
      "['n604', 'n607', 'n706', 'n806', 'n85', 'n974']\n",
      "['n20', 'n614', 'n71']\n",
      "['n156', 'n547', 'n71']\n",
      "['n209', 'n335', 'n535', 'n54', 'n91', 'n912']\n",
      "['n189', 'n306', 'n62', 'n626', 'n703', 'n705', 'n834', 'n899', 'n907', 'n976']\n",
      "['n10', 'n244', 'n259', 'n352', 'n369', 'n377', 'n395', 'n678', 'n705', 'n824', 'n834', 'n899', 'n907', 'n943']\n",
      "['n132', 'n26', 'n269', 'n466', 'n682', 'n861', 'n991']\n",
      "['n379', 'n682', 'n816']\n",
      "['n509', 'n735', 'n875']\n",
      "['n255', 'n728', 'n875']\n",
      "['n527', 'n875', 'n893', 'n895']\n",
      "['n122', 'n153', 'n395', 'n632', 'n824']\n",
      "['n632', 'n800', 'n847']\n",
      "['n25', 'n394', 'n589', 'n772', 'n777', 'n870', 'n981']\n",
      "['n227', 'n278', 'n651', 'n685']\n",
      "['n20', 'n323', 'n378', 'n420', 'n521', 'n523', 'n526', 'n684', 'n685', 'n851']\n",
      "['n112', 'n713', 'n86', 'n987']\n",
      "['n1', 'n23', 'n262', 'n589', 'n756', 'n810']\n",
      "['n257', 'n508', 'n511', 'n530', 'n609', 'n646', 'n649', 'n658', 'n781', 'n800', 'n818', 'n896', 'n995']\n",
      "['n466', 'n942', 'n951']\n",
      "['n136', 'n184', 'n210', 'n370', 'n391', 'n445', 'n549', 'n639', 'n672', 'n836', 'n942']\n",
      "['n404', 'n507', 'n596', 'n885']\n",
      "['n781', 'n918', 'n995']\n",
      "['n107', 'n709', 'n82']\n",
      "['n366', 'n416', 'n601']\n",
      "['n134', 'n169', 'n264', 'n562']\n",
      "['n169', 'n453', 'n608', 'n829', 'n923']\n",
      "['n131', 'n214', 'n303', 'n326', 'n333', 'n434', 'n558', 'n568', 'n570', 'n633', 'n661', 'n662', 'n716', 'n740', 'n744', 'n843', 'n904', 'n920', 'n933', 'n979', 'n998']\n",
      "['n203', 'n661', 'n904', 'n94']\n",
      "['n407', 'n456', 'n794']\n",
      "['n231', 'n294', 'n456']\n",
      "['n310', 'n311', 'n409', 'n410', 'n424', 'n463', 'n475', 'n615', 'n668', 'n724', 'n751', 'n796', 'n865', 'n871', 'n890', 'n897', 'n902', 'n938', 'n953']\n",
      "['n354', 'n689', 'n902']\n",
      "['n791', 'n902', 'n925']\n",
      "['n187', 'n221', 'n730', 'n961']\n",
      "['n489', 'n561', 'n587', 'n695', 'n961']\n",
      "['n285', 'n588', 'n961']\n",
      "['n372', 'n647', 'n68']\n",
      "['n147', 'n627', 'n981']\n",
      "['n417', 'n904', 'n979', 'n98']\n",
      "['n476', 'n60', 'n702', 'n893']\n",
      "['n313', 'n622', 'n733']\n",
      "['n297', 'n562', 'n761', 'n77', 'n845', 'n866', 'n923']\n",
      "['n213', 'n419', 'n484']\n",
      "['n120', 'n250', 'n34', 'n419', 'n576', 'n683', 'n980']\n",
      "['n222', 'n474', 'n617']\n",
      "['n678', 'n784', 'n919']\n",
      "['n280', 'n316', 'n450']\n",
      "['n288', 'n408', 'n479', 'n510', 'n603', 'n650', 'n996']\n",
      "['n190', 'n272', 'n774']\n",
      "['n179', 'n397', 'n945']\n",
      "['n467', 'n496', 'n546', 'n556', 'n583', 'n670', 'n743', 'n755', 'n974']\n",
      "['n118', 'n358', 'n630', 'n679', 'n807', 'n825', 'n957', 'n985']\n",
      "['n812', 'n907', 'n947']\n",
      "['n43', 'n812', 'n871']\n",
      "['n197', 'n738', 'n812', 'n897']\n",
      "['n108', 'n294', 'n717', 'n879']\n",
      "['n130', 'n251', 'n494', 'n514', 'n524', 'n764', 'n767', 'n837']\n",
      "['n138', 'n402', 'n492', 'n578', 'n635', 'n877', 'n887']\n",
      "['n578', 'n722', 'n749']\n",
      "['n2', 'n337', 'n660', 'n789', 'n826']\n",
      "['n185', 'n315', 'n324', 'n351', 'n457', 'n484', 'n570', 'n606', 'n642', 'n753', 'n941']\n",
      "['n402', 'n642', 'n980']\n",
      "['n280', 'n729', 'n773']\n",
      "['n440', 'n509', 'n677', 'n737']\n",
      "['n318', 'n360', 'n372', 'n379', 'n4', 'n501', 'n665', 'n778', 'n861', 'n968', 'n975']\n",
      "['n489', 'n721', 'n836', 'n960']\n",
      "['n659', 'n72', 'n843']\n",
      "['n644', 'n72', 'n933']\n",
      "['n254', 'n393', 'n553', 'n628', 'n641', 'n748', 'n894']\n",
      "['n230', 'n380', 'n813']\n",
      "['n158', 'n356', 'n611']\n",
      "['n459', 'n563', 'n948']\n",
      "['n368', 'n799', 'n971']\n",
      "['n198', 'n430', 'n452']\n",
      "['n119', 'n576', 'n616']\n",
      "['n110', 'n207', 'n423', 'n771', 'n848', 'n994']\n",
      "['n205', 'n347', 'n84']\n",
      "['n52', 'n548', 'n965']\n",
      "['n758', 'n776', 'n810', 'n870']\n",
      "['n621', 'n776', 'n932']\n",
      "['n208', 'n386', 'n776', 'n892']\n",
      "['n305', 'n387', 'n399', 'n51', 'n949', 'n977']\n",
      "['n127', 'n382', 'n433', 'n815']\n",
      "['n157', 'n342', 'n392']\n",
      "['n193', 'n650', 'n766', 'n853']\n",
      "['n293', 'n391', 'n58', 'n954']\n",
      "['n327', 'n887', 'n972']\n",
      "['n261', 'n45', 'n806']\n",
      "['n217', 'n749', 'n880']\n",
      "['n717', 'n89', 'n987']\n",
      "['n325', 'n381', 'n437', 'n463', 'n621', 'n666', 'n873']\n",
      "['n314', 'n362', 'n42']\n",
      "['n38', 'n426', 'n862']\n",
      "['n194', 'n439', 'n599']\n",
      "['n194', 'n629', 'n910']\n",
      "['n577', 'n656', 'n990']\n",
      "['n117', 'n304', 'n701', 'n840']\n",
      "['n239', 'n256', 'n321', 'n701']\n",
      "['n245', 'n613', 'n757', 'n891']\n",
      "['n255', 'n727', 'n883']\n",
      "['n611', 'n768', 'n888']\n",
      "['n406', 'n599', 'n634', 'n704']\n",
      "['n670', 'n927', 'n951']\n",
      "['n238', 'n460', 'n477', 'n854']\n",
      "['n233', 'n478', 'n802', 'n859']\n",
      "['n341', 'n569', 'n798']\n",
      "['n653', 'n733', 'n974']\n",
      "['n413', 'n422', 'n471', 'n503', 'n651']\n",
      "['n338', 'n64', 'n970']\n",
      "['n113', 'n152', 'n338', 'n898', 'n969']\n",
      "['n537', 'n585', 'n741', 'n997']\n",
      "['n16', 'n605', 'n919']\n",
      "['n276', 'n769', 'n786', 'n803', 'n891', 'n919']\n",
      "['n298', 'n312', 'n669', 'n919']\n",
      "['n498', 'n946', 'n970']\n",
      "['n794', 'n946', 'n987']\n",
      "['n218', 'n471', 'n953']\n",
      "['n218', 'n545', 'n639']\n",
      "['n193', 'n252', 'n411']\n",
      "['n190', 'n411', 'n965']\n",
      "['n177', 'n611', 'n951']\n",
      "['n331', 'n431', 'n727', 'n845']\n",
      "['n393', 'n597', 'n708']\n",
      "['n174', 'n448', 'n88']\n",
      "['n139', 'n600', 'n714']\n",
      "['n260', 'n290', 'n803']\n",
      "['n105', 'n355', 'n447', 'n539', 'n544', 'n891']\n",
      "['n404', 'n693', 'n718']\n",
      "['n903', 'n923', 'n949']\n",
      "['n644', 'n70', 'n984']\n",
      "['n382', 'n829', 'n92']\n",
      "['n814', 'n831', 'n856']\n",
      "['n213', 'n376', 'n757']\n",
      "['n127', 'n550', 'n839']\n",
      "['n466', 'n782', 'n975']\n",
      "['n192', 'n219', 'n688', 'n709', 'n995']\n",
      "['n168', 'n644', 'n872']\n",
      "['n312', 'n63', 'n977']\n",
      "['n268', 'n657', 'n719', 'n969']\n",
      "['n179', 'n815', 'n860']\n",
      "['n105', 'n515', 'n623']\n",
      "['n166', 'n515', 'n891']\n",
      "['n364', 'n50', 'n770', 'n969', 'n970']\n",
      "['n698', 'n700', 'n819', 'n844']\n",
      "['n150', 'n656', 'n698', 'n895']\n",
      "['n133', 'n369', 'n449', 'n766', 'n925']\n",
      "['n315', 'n402', 'n502']\n",
      "['n178', 'n671', 'n801']\n",
      "['n172', 'n58', 'n928']\n",
      "['n121', 'n228', 'n957']\n",
      "['n256', 'n789', 'n956']\n",
      "['n481', 'n524', 'n929']\n",
      "['n149', 'n595', 'n665', 'n700']\n",
      "['n319', 'n877', 'n880']\n",
      "['n44', 'n61', 'n952']\n",
      "['n164', 'n206', 'n328', 'n954']\n",
      "['n663', 'n805', 'n814']\n",
      "['n579', 'n720', 'n856']\n",
      "['n34', 'n856', 'n959']\n",
      "['n258', 'n359', 'n671', 'n686', 'n887']\n",
      "['n444', 'n793', 'n839']\n",
      "['n159', 'n322', 'n905']\n",
      "['n152', 'n407', 'n424', 'n668']\n",
      "['n166', 'n376', 'n518']\n",
      "['n365', 'n931', 'n968']\n",
      "['n308', 'n861', 'n92', 'n968']\n",
      "['n863', 'n892', 'n943']\n",
      "['n19', 'n21', 'n321', 'n346', 'n538', 'n552', 'n59', 'n654', 'n840', 'n863', 'n951', 'n959', 'n999']\n",
      "['n100', 'n15', 'n317', 'n95', 'n960']\n",
      "['n383', 'n70', 'n702']\n",
      "['n491', 'n504', 'n592', 'n801', 'n819']\n",
      "['n216', 'n438', 'n755']\n",
      "['n761', 'n820', 'n912']\n",
      "['n543', 'n862', 'n962']\n",
      "['n324', 'n723', 'n879']\n",
      "['n301', 'n493', 'n629']\n",
      "['n170', 'n571', 'n709']\n",
      "['n53', 'n552', 'n652']\n",
      "['n481', 'n832', 'n982']\n",
      "['n235', 'n389', 'n971']\n",
      "['n143', 'n356', 'n840']\n",
      "---------------------------------------\n"
     ]
    }
   ],
   "source": [
    "##k = size of the smalles clique\n",
    "n_kcliq_3 = []\n",
    "for i in range(len(graphs)):\n",
    "    k = 3\n",
    "    n_kcliq_3.append(list(k_clique_communities(nx.DiGraph.to_undirected(graphs[i]), k)))\n",
    "    print(\"Number of communities found in %s: %s\"% (gnames[i], len(n_kcliq_3[i])))\n",
    "    for j in n_kcliq_3[i]:\n",
    "        print(sorted(j))\n",
    "    print(sprtr)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Number of communities found in test75: 7\n",
      "['n38', 'n52', 'n64', 'n65']\n",
      "['n25', 'n29', 'n37', 'n47', 'n57', 'n60', 'n68', 'n71', 'n72', 'n73']\n",
      "['n31', 'n6', 'n70', 'n71']\n",
      "['n1', 'n33', 'n50', 'n59', 'n63', 'n64', 'n66', 'n67', 'n73', 'n74']\n",
      "['n46', 'n56', 'n59', 'n74']\n",
      "['n42', 'n44', 'n49', 'n51', 'n56', 'n61', 'n62', 'n63', 'n64', 'n69', 'n70', 'n74']\n",
      "['n41', 'n58', 'n66', 'n67']\n",
      "---------------------------------------\n",
      "Number of communities found in test100: 5\n",
      "['n0', 'n14', 'n15', 'n16', 'n19', 'n24', 'n26', 'n27', 'n34', 'n35', 'n38', 'n43', 'n45', 'n46', 'n47', 'n48', 'n49', 'n50', 'n51', 'n52', 'n53', 'n54', 'n55', 'n57', 'n58', 'n59', 'n60', 'n61', 'n62', 'n63', 'n64', 'n65', 'n66', 'n67', 'n68', 'n70', 'n71', 'n72', 'n73', 'n74', 'n75', 'n76', 'n77', 'n78', 'n79', 'n81', 'n82', 'n83', 'n84', 'n85', 'n86', 'n87', 'n88', 'n89', 'n90', 'n91', 'n92', 'n93', 'n94', 'n95', 'n96', 'n97', 'n98', 'n99']\n",
      "['n23', 'n44', 'n55', 'n69']\n",
      "['n20', 'n27', 'n49', 'n51', 'n59', 'n74', 'n80']\n",
      "['n33', 'n40', 'n7', 'n96']\n",
      "['n39', 'n8', 'n94', 'n97']\n",
      "---------------------------------------\n",
      "Number of communities found in test400: 27\n",
      "['n10', 'n101', 'n107', 'n114', 'n117', 'n118', 'n135', 'n163', 'n166', 'n169', 'n170', 'n177', 'n180', 'n192', 'n193', 'n196', 'n197', 'n202', 'n205', 'n219', 'n230', 'n231', 'n246', 'n279', 'n301', 'n305', 'n313', 'n319', 'n32', 'n322', 'n335', 'n345', 'n346', 'n349', 'n350', 'n351', 'n353', 'n354', 'n356', 'n357', 'n360', 'n361', 'n362', 'n364', 'n367', 'n368', 'n370', 'n371', 'n372', 'n373', 'n374', 'n375', 'n376', 'n377', 'n378', 'n379', 'n380', 'n381', 'n382', 'n383', 'n384', 'n385', 'n386', 'n387', 'n388', 'n389', 'n390', 'n391', 'n392', 'n393', 'n394', 'n395', 'n396', 'n397', 'n398', 'n399', 'n60', 'n71', 'n85', 'n86', 'n95']\n",
      "['n119', 'n146', 'n158', 'n16', 'n210', 'n212', 'n222', 'n228', 'n245', 'n252', 'n253', 'n254', 'n256', 'n267', 'n275', 'n276', 'n281', 'n285', 'n304', 'n320', 'n321', 'n324', 'n328', 'n336', 'n347', 'n349', 'n353', 'n357', 'n358', 'n359', 'n369', 'n374', 'n377', 'n59']\n",
      "['n100', 'n127', 'n129', 'n140', 'n141', 'n15', 'n153', 'n155', 'n162', 'n164', 'n18', 'n184', 'n194', 'n35', 'n40', 'n45', 'n54', 'n56', 'n62', 'n66', 'n69', 'n78', 'n9']\n",
      "['n103', 'n106', 'n109', 'n11', 'n110', 'n12', 'n131', 'n159', 'n165', 'n172', 'n173', 'n179', 'n189', 'n200', 'n207', 'n216', 'n230', 'n270', 'n274', 'n28', 'n46', 'n47', 'n51', 'n6', 'n74']\n",
      "['n115', 'n123', 'n142', 'n145', 'n154', 'n157', 'n181', 'n19', 'n203', 'n209', 'n226', 'n229', 'n234', 'n237', 'n238', 'n239', 'n258', 'n278', 'n279', 'n284', 'n286', 'n287', 'n290', 'n305', 'n313', 'n315', 'n55']\n",
      "['n102', 'n132', 'n161', 'n26', 'n29', 'n36', 'n4', 'n44', 'n49', 'n53', 'n57', 'n64', 'n68', 'n73', 'n75', 'n76', 'n79', 'n8', 'n80', 'n89', 'n96', 'n98']\n",
      "['n111', 'n125', 'n128', 'n137', 'n14', 'n150', 'n152', 'n156', 'n160', 'n168', 'n17', 'n171', 'n175', 'n176', 'n178', 'n182', 'n187', 'n210', 'n217', 'n218', 'n58', 'n70', 'n72', 'n90']\n",
      "['n0', 'n104', 'n107', 'n112', 'n144', 'n20', 'n21', 'n23', 'n27', 'n3', 'n34', 'n37', 'n41', 'n42', 'n43', 'n5', 'n67', 'n77', 'n87', 'n92', 'n93', 'n94']\n",
      "['n290', 'n304', 'n331', 'n379']\n",
      "['n105', 'n108', 'n116', 'n167', 'n195', 'n2', 'n204', 'n214', 'n218', 'n240', 'n251', 'n254', 'n261', 'n262', 'n282', 'n310', 'n317', 'n319', 'n327', 'n328', 'n335', 'n337', 'n338', 'n339', 'n340', 'n346', 'n352', 'n353', 'n365', 'n48', 'n83']\n",
      "['n219', 'n285', 'n374', 'n397']\n",
      "['n1', 'n120', 'n121', 'n126', 'n138', 'n139', 'n151', 'n213', 'n215', 'n242', 'n244', 'n247', 'n258', 'n260', 'n266', 'n280', 'n287', 'n288', 'n289', 'n297', 'n299', 'n302', 'n307', 'n309', 'n31', 'n311', 'n326', 'n392', 'n61', 'n7', 'n91']\n",
      "['n128', 'n237', 'n266', 'n330', 'n366']\n",
      "['n214', 'n260', 'n283', 'n310', 'n351', 'n358']\n",
      "['n124', 'n13', 'n143', 'n147', 'n174', 'n183', 'n185', 'n188', 'n190', 'n191', 'n205', 'n206', 'n223', 'n225', 'n227', 'n246', 'n25', 'n268', 'n269', 'n283', 'n308', 'n38', 'n39', 'n52', 'n65', 'n88']\n",
      "['n122', 'n136', 'n149', 'n186', 'n198', 'n199', 'n22', 'n236', 'n243', 'n249', 'n250', 'n259', 'n264', 'n295', 'n300', 'n301', 'n306', 'n312', 'n322', 'n325', 'n330', 'n332', 'n334', 'n341', 'n343', 'n344', 'n345', 'n348', 'n366', 'n372', 'n378', 'n383', 'n394', 'n397', 'n67', 'n84']\n",
      "['n271', 'n306', 'n368', 'n384']\n",
      "['n113', 'n116', 'n133', 'n134', 'n201', 'n224', 'n231', 'n232', 'n233', 'n24', 'n241', 'n248', 'n255', 'n257', 'n263', 'n271', 'n272', 'n291', 'n298', 'n30', 'n303', 'n309', 'n33', 'n334', 'n376', 'n63', 'n81', 'n82', 'n97']\n",
      "['n189', 'n298', 'n370', 'n47']\n",
      "['n18', 'n354', 'n382', 'n54']\n",
      "['n163', 'n169', 'n227', 'n308']\n",
      "['n130', 'n148', 'n208', 'n211', 'n220', 'n221', 'n235', 'n265', 'n273', 'n277', 'n292', 'n293', 'n294', 'n295', 'n296', 'n314', 'n316', 'n318', 'n323', 'n329', 'n330', 'n331', 'n333', 'n338', 'n342', 'n355', 'n363', 'n374', 'n397', 'n50', 'n99']\n",
      "['n224', 'n249', 'n250', 'n298', 'n364', 'n370']\n",
      "['n299', 'n338', 'n362', 'n363']\n",
      "['n215', 'n277', 'n336', 'n380']\n",
      "['n251', 'n278', 'n315', 'n342', 'n387']\n",
      "['n173', 'n318', 'n329', 'n356', 'n361']\n",
      "---------------------------------------\n",
      "Number of communities found in test1000: 22\n",
      "['n126', 'n792', 'n831', 'n886']\n",
      "['n643', 'n648', 'n852', 'n876']\n",
      "['n522', 'n525', 'n892', 'n981']\n",
      "['n226', 'n750', 'n78', 'n940']\n",
      "['n607', 'n706', 'n806', 'n85']\n",
      "['n454', 'n620', 'n901', 'n990']\n",
      "['n279', 'n732', 'n864', 'n918']\n",
      "['n49', 'n796', 'n914', 'n989']\n",
      "['n49', 'n736', 'n796', 'n963']\n",
      "['n581', 'n673', 'n910', 'n921', 'n947', 'n986']\n",
      "['n807', 'n811', 'n846', 'n984']\n",
      "['n110', 'n423', 'n771', 'n848']\n",
      "['n457', 'n484', 'n570', 'n753', 'n941']\n",
      "['n482', 'n637', 'n718', 'n992']\n",
      "['n437', 'n621', 'n666', 'n873']\n",
      "['n688', 'n697', 'n87', 'n950']\n",
      "['n406', 'n599', 'n634', 'n704']\n",
      "['n20', 'n378', 'n526', 'n684', 'n851']\n",
      "['n462', 'n488', 'n723', 'n790']\n",
      "['n635', 'n759', 'n813', 'n849']\n",
      "['n567', 'n916', 'n972', 'n988']\n",
      "['n560', 'n927', 'n935', 'n964', 'n989']\n",
      "---------------------------------------\n"
     ]
    }
   ],
   "source": [
    "##k = size of the smalles clique\n",
    "n_kcliq_4 = []\n",
    "for i in range(len(graphs)):\n",
    "    k = 4\n",
    "    n_kcliq_4.append(list(k_clique_communities(nx.DiGraph.to_undirected(graphs[i]), k)))\n",
    "    print(\"Number of communities found in %s: %s\"% (gnames[i], len(n_kcliq_4[i])))\n",
    "    for j in n_kcliq_4[i]:\n",
    "        print(sorted(j))\n",
    "    print(sprtr)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Number of communities found in test75: 1\n",
      "['n0', 'n1', 'n10', 'n11', 'n12', 'n13', 'n14', 'n15', 'n16', 'n17', 'n18', 'n19', 'n2', 'n20', 'n21', 'n22', 'n23', 'n24', 'n25', 'n26', 'n27', 'n28', 'n29', 'n3', 'n30', 'n31', 'n32', 'n33', 'n34', 'n35', 'n36', 'n37', 'n38', 'n39', 'n4', 'n40', 'n41', 'n42', 'n43', 'n44', 'n45', 'n46', 'n47', 'n48', 'n49', 'n5', 'n50', 'n51', 'n52', 'n53', 'n54', 'n55', 'n56', 'n57', 'n58', 'n59', 'n6', 'n60', 'n61', 'n62', 'n63', 'n64', 'n65', 'n66', 'n67', 'n68', 'n69', 'n7', 'n70', 'n71', 'n72', 'n73', 'n74', 'n8', 'n9']\n",
      "---------------------------------------\n",
      "Number of communities found in test100: 1\n",
      "['n0', 'n1', 'n10', 'n11', 'n12', 'n13', 'n14', 'n15', 'n16', 'n17', 'n18', 'n19', 'n2', 'n20', 'n21', 'n22', 'n23', 'n24', 'n25', 'n26', 'n27', 'n28', 'n29', 'n3', 'n30', 'n31', 'n32', 'n33', 'n34', 'n35', 'n36', 'n37', 'n38', 'n39', 'n4', 'n40', 'n41', 'n42', 'n43', 'n44', 'n45', 'n46', 'n47', 'n48', 'n49', 'n5', 'n50', 'n51', 'n52', 'n53', 'n54', 'n55', 'n56', 'n57', 'n58', 'n59', 'n6', 'n60', 'n61', 'n62', 'n63', 'n64', 'n65', 'n66', 'n67', 'n68', 'n69', 'n7', 'n70', 'n71', 'n72', 'n73', 'n74', 'n75', 'n76', 'n77', 'n78', 'n79', 'n8', 'n80', 'n81', 'n82', 'n83', 'n84', 'n85', 'n86', 'n87', 'n88', 'n89', 'n9', 'n90', 'n91', 'n92', 'n93', 'n94', 'n95', 'n96', 'n97', 'n98', 'n99']\n",
      "---------------------------------------\n",
      "Number of communities found in test400: 6\n",
      "['n1', 'n103', 'n105', 'n106', 'n108', 'n109', 'n11', 'n110', 'n113', 'n115', 'n116', 'n119', 'n12', 'n120', 'n121', 'n122', 'n123', 'n124', 'n126', 'n13', 'n130', 'n131', 'n133', 'n134', 'n136', 'n138', 'n139', 'n142', 'n143', 'n145', 'n146', 'n147', 'n148', 'n149', 'n151', 'n154', 'n157', 'n158', 'n159', 'n16', 'n165', 'n167', 'n172', 'n173', 'n174', 'n179', 'n181', 'n183', 'n185', 'n186', 'n188', 'n189', 'n19', 'n190', 'n191', 'n195', 'n198', 'n199', 'n2', 'n200', 'n201', 'n203', 'n204', 'n205', 'n206', 'n207', 'n208', 'n209', 'n211', 'n212', 'n213', 'n214', 'n215', 'n216', 'n22', 'n220', 'n221', 'n222', 'n223', 'n224', 'n225', 'n226', 'n227', 'n228', 'n229', 'n230', 'n231', 'n232', 'n233', 'n234', 'n235', 'n236', 'n237', 'n238', 'n239', 'n24', 'n240', 'n241', 'n242', 'n243', 'n244', 'n245', 'n246', 'n247', 'n248', 'n249', 'n25', 'n250', 'n251', 'n252', 'n253', 'n254', 'n255', 'n256', 'n257', 'n258', 'n259', 'n260', 'n261', 'n262', 'n263', 'n264', 'n265', 'n266', 'n267', 'n268', 'n269', 'n270', 'n271', 'n272', 'n273', 'n274', 'n275', 'n276', 'n277', 'n278', 'n279', 'n28', 'n280', 'n281', 'n282', 'n283', 'n284', 'n285', 'n286', 'n287', 'n288', 'n289', 'n290', 'n291', 'n292', 'n293', 'n294', 'n295', 'n296', 'n297', 'n298', 'n299', 'n30', 'n300', 'n301', 'n302', 'n303', 'n304', 'n305', 'n306', 'n307', 'n308', 'n309', 'n31', 'n310', 'n311', 'n312', 'n313', 'n314', 'n315', 'n316', 'n317', 'n318', 'n319', 'n320', 'n321', 'n322', 'n323', 'n324', 'n325', 'n326', 'n327', 'n328', 'n329', 'n33', 'n330', 'n331', 'n332', 'n333', 'n334', 'n335', 'n336', 'n337', 'n338', 'n339', 'n340', 'n341', 'n342', 'n343', 'n344', 'n345', 'n346', 'n347', 'n348', 'n349', 'n350', 'n351', 'n352', 'n353', 'n354', 'n355', 'n356', 'n357', 'n358', 'n359', 'n360', 'n361', 'n362', 'n363', 'n364', 'n365', 'n366', 'n367', 'n368', 'n369', 'n370', 'n371', 'n372', 'n373', 'n374', 'n375', 'n376', 'n377', 'n378', 'n379', 'n38', 'n380', 'n381', 'n382', 'n383', 'n384', 'n385', 'n386', 'n387', 'n388', 'n389', 'n39', 'n390', 'n391', 'n392', 'n393', 'n394', 'n395', 'n396', 'n397', 'n398', 'n399', 'n46', 'n47', 'n48', 'n50', 'n51', 'n52', 'n55', 'n59', 'n6', 'n61', 'n63', 'n65', 'n7', 'n74', 'n81', 'n82', 'n83', 'n84', 'n88', 'n91', 'n97', 'n99']\n",
      "['n111', 'n125', 'n128', 'n137', 'n14', 'n150', 'n152', 'n156', 'n160', 'n168', 'n17', 'n171', 'n175', 'n176', 'n178', 'n182', 'n187', 'n210', 'n217', 'n218', 'n58', 'n70', 'n72', 'n90']\n",
      "['n10', 'n101', 'n114', 'n117', 'n118', 'n135', 'n163', 'n166', 'n169', 'n170', 'n177', 'n180', 'n192', 'n193', 'n196', 'n197', 'n202', 'n219', 'n32', 'n60', 'n71', 'n85', 'n86', 'n95']\n",
      "['n100', 'n127', 'n129', 'n140', 'n141', 'n15', 'n153', 'n155', 'n162', 'n164', 'n18', 'n184', 'n194', 'n35', 'n40', 'n45', 'n54', 'n56', 'n62', 'n66', 'n69', 'n78', 'n9']\n",
      "['n0', 'n104', 'n107', 'n112', 'n144', 'n20', 'n21', 'n23', 'n27', 'n3', 'n34', 'n37', 'n41', 'n42', 'n43', 'n5', 'n67', 'n77', 'n87', 'n92', 'n93', 'n94']\n",
      "['n102', 'n132', 'n161', 'n26', 'n29', 'n36', 'n4', 'n44', 'n49', 'n53', 'n57', 'n64', 'n68', 'n73', 'n75', 'n76', 'n79', 'n8', 'n80', 'n89', 'n96', 'n98']\n",
      "---------------------------------------\n",
      "Number of communities found in test1000: 1\n",
      "['n0', 'n1', 'n10', 'n100', 'n101', 'n102', 'n103', 'n104', 'n105', 'n106', 'n107', 'n108', 'n109', 'n11', 'n110', 'n111', 'n112', 'n113', 'n114', 'n115', 'n116', 'n117', 'n118', 'n119', 'n12', 'n120', 'n121', 'n122', 'n123', 'n124', 'n125', 'n126', 'n127', 'n128', 'n129', 'n13', 'n130', 'n131', 'n132', 'n133', 'n134', 'n135', 'n136', 'n137', 'n138', 'n139', 'n14', 'n140', 'n141', 'n142', 'n143', 'n144', 'n145', 'n146', 'n147', 'n148', 'n149', 'n15', 'n150', 'n151', 'n152', 'n153', 'n154', 'n155', 'n156', 'n157', 'n158', 'n159', 'n16', 'n160', 'n161', 'n162', 'n163', 'n164', 'n165', 'n166', 'n167', 'n168', 'n169', 'n17', 'n170', 'n171', 'n172', 'n173', 'n174', 'n175', 'n176', 'n177', 'n178', 'n179', 'n18', 'n180', 'n181', 'n182', 'n183', 'n184', 'n185', 'n186', 'n187', 'n188', 'n189', 'n19', 'n190', 'n191', 'n192', 'n193', 'n194', 'n195', 'n196', 'n197', 'n198', 'n199', 'n2', 'n20', 'n200', 'n201', 'n202', 'n203', 'n204', 'n205', 'n206', 'n207', 'n208', 'n209', 'n21', 'n210', 'n211', 'n212', 'n213', 'n214', 'n215', 'n216', 'n217', 'n218', 'n219', 'n22', 'n220', 'n221', 'n222', 'n223', 'n224', 'n225', 'n226', 'n227', 'n228', 'n229', 'n23', 'n230', 'n231', 'n232', 'n233', 'n234', 'n235', 'n236', 'n237', 'n238', 'n239', 'n24', 'n240', 'n241', 'n242', 'n243', 'n244', 'n245', 'n246', 'n247', 'n248', 'n249', 'n25', 'n250', 'n251', 'n252', 'n253', 'n254', 'n255', 'n256', 'n257', 'n258', 'n259', 'n26', 'n260', 'n261', 'n262', 'n263', 'n264', 'n265', 'n266', 'n267', 'n268', 'n269', 'n27', 'n270', 'n271', 'n272', 'n273', 'n274', 'n275', 'n276', 'n277', 'n278', 'n279', 'n28', 'n280', 'n281', 'n282', 'n283', 'n284', 'n285', 'n286', 'n287', 'n288', 'n289', 'n29', 'n290', 'n291', 'n292', 'n293', 'n294', 'n295', 'n296', 'n297', 'n298', 'n299', 'n3', 'n30', 'n300', 'n301', 'n302', 'n303', 'n304', 'n305', 'n306', 'n307', 'n308', 'n309', 'n31', 'n310', 'n311', 'n312', 'n313', 'n314', 'n315', 'n316', 'n317', 'n318', 'n319', 'n32', 'n320', 'n321', 'n322', 'n323', 'n324', 'n325', 'n326', 'n327', 'n328', 'n329', 'n33', 'n330', 'n331', 'n332', 'n333', 'n334', 'n335', 'n336', 'n337', 'n338', 'n339', 'n34', 'n340', 'n341', 'n342', 'n343', 'n344', 'n345', 'n346', 'n347', 'n348', 'n349', 'n35', 'n350', 'n351', 'n352', 'n353', 'n354', 'n355', 'n356', 'n357', 'n358', 'n359', 'n36', 'n360', 'n361', 'n362', 'n363', 'n364', 'n365', 'n366', 'n367', 'n368', 'n369', 'n37', 'n370', 'n371', 'n372', 'n373', 'n374', 'n375', 'n376', 'n377', 'n378', 'n379', 'n38', 'n380', 'n381', 'n382', 'n383', 'n384', 'n385', 'n386', 'n387', 'n388', 'n389', 'n39', 'n390', 'n391', 'n392', 'n393', 'n394', 'n395', 'n396', 'n397', 'n398', 'n399', 'n4', 'n40', 'n400', 'n401', 'n402', 'n403', 'n404', 'n405', 'n406', 'n407', 'n408', 'n409', 'n41', 'n410', 'n411', 'n412', 'n413', 'n414', 'n415', 'n416', 'n417', 'n418', 'n419', 'n42', 'n420', 'n421', 'n422', 'n423', 'n424', 'n425', 'n426', 'n427', 'n428', 'n429', 'n43', 'n430', 'n431', 'n432', 'n433', 'n434', 'n435', 'n436', 'n437', 'n438', 'n439', 'n44', 'n440', 'n441', 'n442', 'n443', 'n444', 'n445', 'n446', 'n447', 'n448', 'n449', 'n45', 'n450', 'n451', 'n452', 'n453', 'n454', 'n455', 'n456', 'n457', 'n458', 'n459', 'n46', 'n460', 'n461', 'n462', 'n463', 'n464', 'n465', 'n466', 'n467', 'n468', 'n469', 'n47', 'n470', 'n471', 'n472', 'n473', 'n474', 'n475', 'n476', 'n477', 'n478', 'n479', 'n48', 'n480', 'n481', 'n482', 'n483', 'n484', 'n485', 'n486', 'n487', 'n488', 'n489', 'n49', 'n490', 'n491', 'n492', 'n493', 'n494', 'n495', 'n496', 'n497', 'n498', 'n499', 'n5', 'n50', 'n500', 'n501', 'n502', 'n503', 'n504', 'n505', 'n506', 'n507', 'n508', 'n509', 'n51', 'n510', 'n511', 'n512', 'n513', 'n514', 'n515', 'n516', 'n517', 'n518', 'n519', 'n52', 'n520', 'n521', 'n522', 'n523', 'n524', 'n525', 'n526', 'n527', 'n528', 'n529', 'n53', 'n530', 'n531', 'n532', 'n533', 'n534', 'n535', 'n536', 'n537', 'n538', 'n539', 'n54', 'n540', 'n541', 'n542', 'n543', 'n544', 'n545', 'n546', 'n547', 'n548', 'n549', 'n55', 'n550', 'n551', 'n552', 'n553', 'n554', 'n555', 'n556', 'n557', 'n558', 'n559', 'n56', 'n560', 'n561', 'n562', 'n563', 'n564', 'n565', 'n566', 'n567', 'n568', 'n569', 'n57', 'n570', 'n571', 'n572', 'n573', 'n574', 'n575', 'n576', 'n577', 'n578', 'n579', 'n58', 'n580', 'n581', 'n582', 'n583', 'n584', 'n585', 'n586', 'n587', 'n588', 'n589', 'n59', 'n590', 'n591', 'n592', 'n593', 'n594', 'n595', 'n596', 'n597', 'n598', 'n599', 'n6', 'n60', 'n600', 'n601', 'n602', 'n603', 'n604', 'n605', 'n606', 'n607', 'n608', 'n609', 'n61', 'n610', 'n611', 'n612', 'n613', 'n614', 'n615', 'n616', 'n617', 'n618', 'n619', 'n62', 'n620', 'n621', 'n622', 'n623', 'n624', 'n625', 'n626', 'n627', 'n628', 'n629', 'n63', 'n630', 'n631', 'n632', 'n633', 'n634', 'n635', 'n636', 'n637', 'n638', 'n639', 'n64', 'n640', 'n641', 'n642', 'n643', 'n644', 'n645', 'n646', 'n647', 'n648', 'n649', 'n65', 'n650', 'n651', 'n652', 'n653', 'n654', 'n655', 'n656', 'n657', 'n658', 'n659', 'n66', 'n660', 'n661', 'n662', 'n663', 'n664', 'n665', 'n666', 'n667', 'n668', 'n669', 'n67', 'n670', 'n671', 'n672', 'n673', 'n674', 'n675', 'n676', 'n677', 'n678', 'n679', 'n68', 'n680', 'n681', 'n682', 'n683', 'n684', 'n685', 'n686', 'n687', 'n688', 'n689', 'n69', 'n690', 'n691', 'n692', 'n693', 'n694', 'n695', 'n696', 'n697', 'n698', 'n699', 'n7', 'n70', 'n700', 'n701', 'n702', 'n703', 'n704', 'n705', 'n706', 'n707', 'n708', 'n709', 'n71', 'n710', 'n711', 'n712', 'n713', 'n714', 'n715', 'n716', 'n717', 'n718', 'n719', 'n72', 'n720', 'n721', 'n722', 'n723', 'n724', 'n725', 'n726', 'n727', 'n728', 'n729', 'n73', 'n730', 'n731', 'n732', 'n733', 'n734', 'n735', 'n736', 'n737', 'n738', 'n739', 'n74', 'n740', 'n741', 'n742', 'n743', 'n744', 'n745', 'n746', 'n747', 'n748', 'n749', 'n75', 'n750', 'n751', 'n752', 'n753', 'n754', 'n755', 'n756', 'n757', 'n758', 'n759', 'n76', 'n760', 'n761', 'n762', 'n763', 'n764', 'n765', 'n766', 'n767', 'n768', 'n769', 'n77', 'n770', 'n771', 'n772', 'n773', 'n774', 'n775', 'n776', 'n777', 'n778', 'n779', 'n78', 'n780', 'n781', 'n782', 'n783', 'n784', 'n785', 'n786', 'n787', 'n788', 'n789', 'n79', 'n790', 'n791', 'n792', 'n793', 'n794', 'n795', 'n796', 'n797', 'n798', 'n799', 'n8', 'n80', 'n800', 'n801', 'n802', 'n803', 'n804', 'n805', 'n806', 'n807', 'n808', 'n809', 'n81', 'n810', 'n811', 'n812', 'n813', 'n814', 'n815', 'n816', 'n817', 'n818', 'n819', 'n82', 'n820', 'n821', 'n822', 'n823', 'n824', 'n825', 'n826', 'n827', 'n828', 'n829', 'n83', 'n830', 'n831', 'n832', 'n833', 'n834', 'n835', 'n836', 'n837', 'n838', 'n839', 'n84', 'n840', 'n841', 'n842', 'n843', 'n844', 'n845', 'n846', 'n847', 'n848', 'n849', 'n85', 'n850', 'n851', 'n852', 'n853', 'n854', 'n855', 'n856', 'n857', 'n858', 'n859', 'n86', 'n860', 'n861', 'n862', 'n863', 'n864', 'n865', 'n866', 'n867', 'n868', 'n869', 'n87', 'n870', 'n871', 'n872', 'n873', 'n874', 'n875', 'n876', 'n877', 'n878', 'n879', 'n88', 'n880', 'n881', 'n882', 'n883', 'n884', 'n885', 'n886', 'n887', 'n888', 'n889', 'n89', 'n890', 'n891', 'n892', 'n893', 'n894', 'n895', 'n896', 'n897', 'n898', 'n899', 'n9', 'n90', 'n900', 'n901', 'n902', 'n903', 'n904', 'n905', 'n906', 'n907', 'n908', 'n909', 'n91', 'n910', 'n911', 'n912', 'n913', 'n914', 'n915', 'n916', 'n917', 'n918', 'n919', 'n92', 'n920', 'n921', 'n922', 'n923', 'n924', 'n925', 'n926', 'n927', 'n928', 'n929', 'n93', 'n930', 'n931', 'n932', 'n933', 'n934', 'n935', 'n936', 'n937', 'n938', 'n939', 'n94', 'n940', 'n941', 'n942', 'n943', 'n944', 'n945', 'n946', 'n947', 'n948', 'n949', 'n95', 'n950', 'n951', 'n952', 'n953', 'n954', 'n955', 'n956', 'n957', 'n958', 'n959', 'n96', 'n960', 'n961', 'n962', 'n963', 'n964', 'n965', 'n966', 'n967', 'n968', 'n969', 'n97', 'n970', 'n971', 'n972', 'n973', 'n974', 'n975', 'n976', 'n977', 'n978', 'n979', 'n98', 'n980', 'n981', 'n982', 'n983', 'n984', 'n985', 'n986', 'n987', 'n988', 'n989', 'n99', 'n990', 'n991', 'n992', 'n993', 'n994', 'n995', 'n996', 'n997', 'n998', 'n999']\n",
      "---------------------------------------\n"
     ]
    }
   ],
   "source": [
    "n_fastgreedy = []\n",
    "for i in range(len(graphs)):\n",
    "    n_fastgreedy.append(list(greedy_modularity_communities(nx.DiGraph.to_undirected(graphs[i]))))\n",
    "    print(\"Number of communities found in %s: %s\"% (gnames[i], len(n_fastgreedy[i])))\n",
    "    for j in n_fastgreedy[i]:\n",
    "        print(sorted(j))\n",
    "    print(sprtr)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Number of communities found in test75: 2\n",
      "[['n5', 'n59', 'n24', 'n38', 'n40', 'n71', 'n3', 'n0', 'n6', 'n55', 'n61', 'n22', 'n11', 'n34', 'n1', 'n33', 'n52', 'n39', 'n21', 'n13', 'n26', 'n23', 'n42', 'n12', 'n8', 'n62', 'n20', 'n64', 'n67', 'n50', 'n7', 'n54', 'n17', 'n58', 'n9', 'n25', 'n65', 'n29', 'n28', 'n32', 'n66', 'n73', 'n57', 'n68', 'n35', 'n27', 'n31', 'n63', 'n60', 'n72', 'n4', 'n2', 'n37', 'n48', 'n47', 'n16', 'n53', 'n30'], ['n10', 'n18', 'n46', 'n56', 'n19', 'n15', 'n44', 'n49', 'n14', 'n51', 'n74', 'n43', 'n69', 'n70', 'n41', 'n36', 'n45']]\n",
      "---------------------------------------\n",
      "Number of communities found in test100: 1\n",
      "[['n5', 'n59', 'n96', 'n6', 'n41', 'n93', 'n1', 'n10', 'n26', 'n51', 'n84', 'n62', 'n80', 'n25', 'n28', 'n66', 'n73', 'n35', 'n94', 'n78', 'n60', 'n47', 'n30', 'n46', 'n19', 'n85', 'n75', 'n71', 'n61', 'n33', 'n39', 'n23', 'n74', 'n69', 'n77', 'n67', 'n92', 'n82', 'n54', 'n17', 'n58', 'n9', 'n87', 'n68', 'n49', 'n31', 'n98', 'n2', 'n88', 'n53', 'n14', 'n24', 'n91', 'n40', 'n3', 'n0', 'n55', 'n11', 'n34', 'n13', 'n12', 'n8', 'n20', 'n50', 'n15', 'n99', 'n95', 'n32', 'n57', 'n63', 'n72', 'n4', 'n90', 'n36', 'n45', 'n18', 'n44', 'n76', 'n79', 'n38', 'n22', 'n81', 'n52', 'n21', 'n42', 'n70', 'n83', 'n43', 'n97', 'n64', 'n7', 'n65', 'n29', 'n56', 'n27', 'n86', 'n37', 'n48', 'n16', 'n89']]\n",
      "---------------------------------------\n",
      "Number of communities found in test400: 11\n",
      "[['n258', 'n19', 'n315', 'n229', 'n55', 'n290', 'n157', 'n305', 'n115', 'n278', 'n234', 'n226', 'n239', 'n142', 'n154', 'n286', 'n313', 'n209', 'n279', 'n237', 'n284', 'n238', 'n145', 'n181', 'n203', 'n287', 'n123'], ['n18', 'n194', 'n184', 'n140', 'n153', 'n100', 'n40', 'n162', 'n62', 'n69', 'n129', 'n164', 'n15', 'n54', 'n9', 'n155', 'n66', 'n56', 'n127', 'n35', 'n78', 'n45', 'n141'], ['n215', 'n91', 'n289', 'n126', 'n307', 'n61', 'n1', 'n266', 'n151', 'n121', 'n299', 'n297', 'n138', 'n139', 'n260', 'n288', 'n311', 'n7', 'n247', 'n213', 'n244', 'n31', 'n280', 'n242', 'n326', 'n302', 'n120'], ['n323', 'n314', 'n130', 'n221', 'n220', 'n363', 'n316', 'n294', 'n208', 'n273', 'n148', 'n318', 'n295', 'n235', 'n277', 'n265', 'n50', 'n296', 'n355', 'n99', 'n293', 'n331', 'n329', 'n342', 'n333', 'n330', 'n211', 'n292'], ['n214', 'n328', 'n335', 'n310', 'n339', 'n319', 'n167', 'n83', 'n240', 'n108', 'n105', 'n352', 'n262', 'n195', 'n337', 'n353', 'n251', 'n204', 'n261', 'n327', 'n340', 'n338', 'n282', 'n365', 'n317', 'n2', 'n254', 'n48'], ['n135', 'n85', 'n71', 'n118', 'n10', 'n219', 'n180', 'n177', 'n193', 'n202', 'n170', 'n197', 'n117', 'n163', 'n169', 'n192', 'n114', 'n95', 'n32', 'n166', 'n101', 'n60', 'n196', 'n86'], ['n5', 'n376', 'n274', 'n137', 'n6', 'n41', 'n176', 'n93', 'n367', 'n112', 'n187', 'n185', 'n396', 'n283', 'n51', 'n388', 'n223', 'n207', 'n360', 'n182', 'n25', 'n104', 'n381', 'n371', 'n28', 'n384', 'n385', 'n393', 'n390', 'n94', 'n128', 'n47', 'n200', 'n375', 'n125', 'n46', 'n227', 'n362', 'n374', 'n346', 'n218', 'n109', 'n39', 'n394', 'n23', 'n74', 'n380', 'n391', 'n77', 'n174', 'n152', 'n190', 'n67', 'n92', 'n17', 'n58', 'n107', 'n179', 'n111', 'n370', 'n87', 'n147', 'n308', 'n124', 'n210', 'n88', 'n383', 'n14', 'n191', 'n175', 'n387', 'n156', 'n3', 'n0', 'n399', 'n11', 'n34', 'n397', 'n395', 'n168', 'n144', 'n13', 'n268', 'n12', 'n354', 'n20', 'n398', 'n165', 'n269', 'n350', 'n389', 'n270', 'n378', 'n379', 'n160', 'n143', 'n103', 'n386', 'n206', 'n345', 'n188', 'n356', 'n72', 'n90', 'n106', 'n216', 'n230', 'n178', 'n38', 'n172', 'n225', 'n377', 'n368', 'n183', 'n189', 'n110', 'n205', 'n52', 'n21', 'n42', 'n173', 'n131', 'n351', 'n361', 'n70', 'n43', 'n246', 'n392', 'n159', 'n171', 'n373', 'n150', 'n65', 'n27', 'n364', 'n37', 'n382', 'n217'], ['n116', 'n248', 'n24', 'n224', 'n255', 'n231', 'n272', 'n33', 'n303', 'n201', 'n133', 'n97', 'n309', 'n82', 'n232', 'n257', 'n263', 'n233', 'n298', 'n134', 'n63', 'n271', 'n241', 'n291', 'n81', 'n113', 'n30'], ['n252', 'n146', 'n358', 'n357', 'n347', 'n212', 'n119', 'n222', 'n253', 'n59', 'n320', 'n369', 'n158', 'n324', 'n267', 'n336', 'n349', 'n228', 'n285', 'n275', 'n281', 'n245', 'n276', 'n256', 'n304', 'n359', 'n321', 'n16'], ['n186', 'n372', 'n250', 'n348', 'n198', 'n22', 'n249', 'n122', 'n259', 'n306', 'n322', 'n149', 'n312', 'n136', 'n236', 'n343', 'n84', 'n334', 'n332', 'n301', 'n344', 'n325', 'n341', 'n366', 'n264', 'n300', 'n243', 'n199'], ['n161', 'n44', 'n76', 'n79', 'n102', 'n75', 'n96', 'n26', 'n53', 'n8', 'n64', 'n80', 'n29', 'n132', 'n73', 'n57', 'n68', 'n49', 'n98', 'n4', 'n36', 'n89']]\n",
      "---------------------------------------\n",
      "Number of communities found in test1000: 9\n",
      "[['n5', 'n545', 'n357', 'n639', 'n328', 'n436', 'n369', 'n408', 'n172', 'n218', 'n274', 'n995', 'n996', 'n603', 'n110', 'n219', 'n954', 'n780', 'n450', 'n853', 'n162', 'n878', 'n193', 'n771', 'n982', 'n53', 'n994', 'n449', 'n888', 'n530', 'n391', 'n207', 'n781', 'n791', 'n133', 'n552', 'n288', 'n508', 'n800', 'n58', 'n9', 'n257', 'n609', 'n293', 'n192', 'n650', 'n658', 'n766', 'n818', 'n586', 'n646', 'n848', 'n32', 'n649', 'n896', 'n237', 'n652', 'n414', 'n681', 'n206', 'n511', 'n928', 'n699', 'n423', 'n925', 'n196', 'n479', 'n37', 'n510', 'n375', 'n141', 'n125', 'n543'], ['n633', 'n801', 'n877', 'n290', 'n319', 'n437', 'n568', 'n873', 'n746', 'n491', 'n138', 'n843', 'n80', 'n659', 'n803', 'n874', 'n485', 'n486', 'n654', 'n869', 'n94', 'n359', 'n887', 'n594', 'n214', 'n835', 'n744', 'n635', 'n151', 'n671', 'n920', 'n164', 'n534', 'n260', 'n998', 'n67', 'n434', 'n325', 'n881', 'n661', 'n492', 'n98', 'n203', 'n716', 'n405', 'n662', 'n592', 'n458', 'n769', 'n303', 'n741', 'n880', 'n578', 'n165', 'n799', 'n276', 'n114', 'n342', 'n72', 'n819', 'n504', 'n618', 'n326', 'n686', 'n258', 'n558', 'n178', 'n740', 'n904', 'n157', 'n749', 'n979', 'n933', 'n131', 'n722', 'n500', 'n417', 'n392', 'n786', 'n674', 'n327', 'n271', 'n333', 'n666', 'n217', 'n621'], ['n555', 'n106', 'n230', 'n506', 'n180', 'n421', 'n833', 'n591', 'n115', 'n759', 'n380', 'n234', 'n240', 'n973', 'n403', 'n889', 'n373', 'n813', 'n844', 'n731', 'n27', 'n468', 'n817', 'n911', 'n849'], ['n358', 'n383', 'n691', 'n96', 'n807', 'n118', 'n121', 'n825', 'n679', 'n228', 'n70', 'n893', 'n811', 'n702', 'n142', 'n957', 'n624', 'n630', 'n984', 'n505', 'n60', 'n476', 'n124', 'n90', 'n846'], ['n947', 'n347', 'n542', 'n194', 'n493', 'n439', 'n339', 'n205', 'n673', 'n720', 'n84', 'n986', 'n581', 'n768', 'n910', 'n301', 'n406', 'n398', 'n309', 'n704', 'n429', 'n66', 'n345', 'n634', 'n629', 'n921', 'n599'], ['n669', 'n551', 'n590', 'n528', 'n754', 'n972', 'n39', 'n312', 'n473', 'n83', 'n201', 'n202', 'n441', 'n17', 'n605', 'n916', 'n384', 'n567', 'n298', 'n655', 'n988', 'n330', 'n16', 'n919'], ['n788', 'n964', 'n584', 'n464', 'n425', 'n787', 'n963', 'n560', 'n638', 'n418', 'n809', 'n353', 'n796', 'n927', 'n989', 'n49', 'n914', 'n282', 'n935', 'n211', 'n736'], ['n455', 'n140', 'n707', 'n176', 'n401', 'n93', 'n367', 'n886', 'n266', 'n747', 'n765', 'n283', 'n343', 'n852', 'n388', 'n917', 'n525', 'n804', 'n710', 'n412', 'n934', 'n469', 'n182', 'n428', 'n104', 'n752', 'n573', 'n795', 'n745', 'n28', 'n564', 'n247', 'n73', 'n490', 'n574', 'n35', 'n340', 'n461', 'n78', 'n939', 'n47', 'n435', 'n884', 'n30', 'n690', 'n958', 'n19', 'n374', 'n85', 'n75', 'n71', 'n335', 'n705', 'n580', 'n841', 'n682', 'n536', 'n857', 'n875', 'n632', 'n394', 'n400', 'n685', 'n713', 'n589', 'n69', 'n901', 'n604', 'n942', 'n286', 'n522', 'n978', 'n465', 'n507', 'n918', 'n107', 'n416', 'n169', 'n132', 'n204', 'n456', 'n902', 'n961', 'n68', 'n147', 'n619', 'n313', 'n808', 'n838', 'n221', 'n866', 'n419', 'n784', 'n617', 'n316', 'n156', 'n3', 'n289', 'n267', 'n397', 'n272', 'n583', 'n349', 'n148', 'n636', 'n13', 'n136', 'n695', 'n772', 'n940', 'n12', 'n8', 'n167', 'n812', 'n676', 'n683', 'n420', 'n453', 'n108', 'n514', 'n487', 'n195', 'n337', 'n642', 'n729', 'n232', 'n779', 'n737', 'n647', 'n270', 'n738', 'n279', 'n379', 'n922', 'n489', 'n280', 'n410', 'n4', 'n792', 'n822', 'n748', 'n516', 'n496', 'n948', 'n368', 'n183', 'n430', 'n616', 'n763', 'n52', 'n776', 'n305', 'n483', 'n730', 'n361', 'n433', 'n154', 'n171', 'n554', 'n484', 'n209', 'n715', 'n529', 'n806', 'n101', 'n134', 'n86', 'n482', 'n459', 'n120', 'n89', 'n446', 'n146', 'n314', 'n426', 'n186', 'n212', 'n990', 'n760', 'n224', 'n137', 'n575', 'n513', 'n1', 'n10', 'n697', 'n187', 'n185', 'n299', 'n396', 'n472', 'n613', 'n883', 'n62', 'n593', 'n223', 'n531', 'n576', 'n756', 'n344', 'n670', 'n847', 'n25', 'n477', 'n233', 'n341', 'n385', 'n520', 'n974', 'n651', 'n899', 'n390', 'n338', 'n851', 'n128', 'n537', 'n503', 'n993', 'n292', 'n113', 'n443', 'n946', 'n585', 'n116', 'n227', 'n471', 'n460', 'n462', 'n620', 'n153', 'n363', 'n411', 'n208', 'n622', 'n122', 'n109', 'n845', 'n708', 'n23', 'n74', 'n924', 'n868', 'n802', 'n174', 'n139', 'n281', 'n548', 'n447', 'n718', 'n712', 'n111', 'n728', 'n370', 'n923', 'n827', 'n831', 'n213', 'n526', 'n757', 'n758', 'n550', 'n570', 'n145', 'n241', 'n300', 'n782', 'n519', 'n677', 'n850', 'n130', 'n733', 'n14', 'n24', 'n191', 'n672', 'n175', 'n198', 'n40', 'n442', 'n11', 'n512', 'n395', 'n553', 'n168', 'n860', 'n871', 'n965', 'n236', 'n268', 'n975', 'n297', 'n352', 'n515', 'n50', 'n950', 'n99', 'n783', 'n698', 'n876', 'n837', 'n378', 'n160', 'n103', 'n566', 'n63', 'n977', 'n790', 'n865', 'n657', 'n980', 'n199', 'n732', 'n36', 'n941', 'n315', 'n882', 'n76', 'n823', 'n724', 'n215', 'n372', 'n628', 'n991', 'n22', 'n225', 'n336', 'n377', 'n259', 'n466', 'n854', 'n767', 'n810', 'n173', 'n834', 'n726', 'n867', 'n246', 'n816', 'n97', 'n721', 'n955', 'n275', 'n664', 'n155', 'n427', 'n930', 'n494', 'n956', 'n413', 'n501', 'n535', 'n366', 'n753', 'n764', 'n264', 'n56', 'n608', 'n610', 'n926', 'n929', 'n970', 'n488', 'n263', 'n569', 'n945', 'n700', 'n229', 'n937', 'n855', 'n842', 'n660', 'n952', 'n614', 'n26', 'n588', 'n797', 'n577', 'n562', 'n663', 'n601', 'n197', 'n105', 'n360', 'n470', 'n821', 'n725', 'n908', 'n856', 'n381', 'n626', 'n789', 'n762', 'n872', 'n404', 'n181', 'n703', 'n793', 'n905', 'n291', 'n200', 'n607', 'n119', 'n348', 'n547', 'n444', 'n572', 'n231', 'n824', 'n445', 'n997', 'n452', 'n774', 'n77', 'n794', 'n152', 'n895', 'n163', 'n82', 'n54', 'n245', 'n502', 'n579', 'n688', 'n166', 'n915', 'n750', 'n931', 'n743', 'n949', 'n587', 'n675', 'n687', 'n943', 'n308', 'n597', 'n317', 'n2', 'n475', 'n987', 'n88', 'n123', 'n161', 'n714', 'n598', 'n498', 'n523', 'n91', 'n387', 'n693', 'n255', 'n0', 'n399', 'n582', 'n34', 'n273', 'n770', 'n144', 'n295', 'n354', 'n830', 'n559', 'n755', 'n967', 'n864', 'n261', 'n541', 'n858', 'n284', 'n57', 'n717', 'n127', 'n244', 'n976', 'n623', 'n243', 'n533', 'n438', 'n643', 'n595', 'n820', 'n45', 'n287', 'n778', 'n839', 'n407', 'n549', 'n216', 'n135', 'n38', 'n499', 'n631', 'n894', 'n294', 'n324', 'n307', 'n81', 'n42', 'n432', 'n457', 'n351', 'n879', 'n448', 'n653', 'n897', 'n422', 'n159', 'n7', 'n480', 'n495', 'n711', 'n150', 'n29', 'n709', 'n832', 'n971', 'n540', 'n364', 'n571', 'n900', 'n912', 'n409', 'n424', 'n302', 'n478', 'n252', 'n323', 'n898', 'n751', 'n184', 'n220', 'n376', 'n126', 'n6', 'n41', 'n249', 'n112', 'n481', 'n777', 'n518', 'n719', 'n805', 'n51', 'n556', 'n332', 'n561', 'n463', 'n129', 'n235', 'n277', 'n890', 'n467', 'n170', 'n966', 'n785', 'n968', 'n355', 'n960', 'n331', 'n371', 'n836', 'n544', 'n602', 'n903', 'n393', 'n668', 'n641', 'n944', 'n596', 'n606', 'n775', 'n46', 'n932', 'n362', 'n253', 'n474', 'n248', 'n694', 'n734', 'n983', 'n61', 'n859', 'n981', 'n870', 'n33', 'n532', 'n969', 'n906', 'n190', 'n285', 'n612', 'n92', 'n311', 'n517', 'n539', 'n546', 'n179', 'n251', 'n727', 'n87', 'n829', 'n565', 'n862', 'n678', 'n31', 'n680', 'n815', 'n365', 'n242', 'n210', 'n667', 'n735', 'n891', 'n640', 'n521', 'n431', 'n415', 'n320', 'n953', 'n962', 'n55', 'n310', 'n454', 'n402', 'n48', 'n861', 'n306', 'n742', 'n322', 'n149', 'n318', 'n913', 'n739', 'n226', 'n909', 'n20', 'n637', 'n656', 'n262', 'n527', 'n645', 'n15', 'n296', 'n761', 'n269', 'n451', 'n350', 'n773', 'n95', 'n389', 'n648', 'n936', 'n706', 'n386', 'n684', 'n826', 'n188', 'n723', 'n625', 'n254', 'n692', 'n828', 'n18', 'n44', 'n644', 'n615', 'n79', 'n696', 'n222', 'n102', 'n100', 'n250', 'n985', 'n563', 'n600', 'n189', 'n892', 'n885', 'n992', 'n278', 'n334', 'n43', 'n64', 'n265', 'n814', 'n665', 'n689', 'n65', 'n938', 'n329', 'n440', 'n557', 'n238', 'n509', 'n627', 'n907', 'n382', 'n798', 'n524'], ['n59', 'n346', 'n158', 'n701', 'n611', 'n21', 'n177', 'n538', 'n497', 'n863', 'n239', 'n959', 'n117', 'n951', 'n256', 'n143', 'n304', 'n356', 'n999', 'n321', 'n840']]\n",
      "---------------------------------------\n"
     ]
    }
   ],
   "source": [
    "n_labelprop = []\n",
    "for i in range(len(graphs)):\n",
    "    n_labelprop_gen = label_propagation_communities(nx.DiGraph.to_undirected(graphs[i]))\n",
    "    n_l = []\n",
    "    for j in n_labelprop_gen:\n",
    "        n_l.append(list(j))\n",
    "    print(\"Number of communities found in %s: %s\"% (gnames[i], len(n_l)))\n",
    "    print(n_l)\n",
    "    n_labelprop.append(n_l)\n",
    "    print(sprtr)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Number of communities found in test75: 3\n",
      "['n1', 'n10', 'n14', 'n15', 'n16', 'n18', 'n21', 'n27', 'n32', 'n38', 'n40', 'n42', 'n5', 'n51', 'n52', 'n56', 'n59', 'n61', 'n62', 'n64', 'n66', 'n69', 'n74', 'n8']\n",
      "['n0', 'n13', 'n17', 'n20', 'n23', 'n33', 'n34', 'n37', 'n41', 'n44', 'n46', 'n50', 'n53', 'n54', 'n58', 'n63', 'n67', 'n7', 'n73', 'n9']\n",
      "['n11', 'n12', 'n19', 'n2', 'n22', 'n24', 'n25', 'n26', 'n28', 'n29', 'n3', 'n30', 'n31', 'n35', 'n36', 'n39', 'n4', 'n43', 'n45', 'n47', 'n48', 'n49', 'n55', 'n57', 'n6', 'n60', 'n65', 'n68', 'n70', 'n71', 'n72']\n",
      "---------------------------------------\n",
      "Number of communities found in test100: 4\n",
      "['n11', 'n12', 'n18', 'n21', 'n23', 'n30', 'n31', 'n33', 'n40', 'n44', 'n47', 'n5', 'n55', 'n69', 'n7', 'n77', 'n9', 'n96']\n",
      "['n17', 'n19', 'n2', 'n25', 'n28', 'n34', 'n36', 'n39', 'n42', 'n46', 'n48', 'n54', 'n63', 'n75', 'n8', 'n82', 'n93', 'n97']\n",
      "['n1', 'n13', 'n14', 'n16', 'n20', 'n22', 'n27', 'n3', 'n32', 'n35', 'n45', 'n49', 'n50', 'n51', 'n52', 'n53', 'n58', 'n59', 'n64', 'n65', 'n66', 'n67', 'n68', 'n70', 'n72', 'n74', 'n78', 'n80', 'n81', 'n86', 'n87', 'n88', 'n94', 'n95', 'n98']\n",
      "['n0', 'n10', 'n15', 'n24', 'n26', 'n29', 'n37', 'n38', 'n4', 'n41', 'n43', 'n56', 'n57', 'n6', 'n60', 'n61', 'n62', 'n71', 'n73', 'n76', 'n79', 'n83', 'n84', 'n85', 'n89', 'n90', 'n91', 'n92', 'n99']\n",
      "---------------------------------------\n",
      "Number of communities found in test400: 15\n",
      "['n130', 'n148', 'n208', 'n211', 'n220', 'n221', 'n235', 'n265', 'n273', 'n277', 'n292', 'n293', 'n294', 'n295', 'n296', 'n314', 'n316', 'n318', 'n323', 'n329', 'n330', 'n333', 'n342', 'n355', 'n363', 'n50', 'n99']\n",
      "['n100', 'n127', 'n129', 'n140', 'n141', 'n15', 'n153', 'n155', 'n162', 'n164', 'n18', 'n184', 'n194', 'n35', 'n40', 'n45', 'n54', 'n56', 'n62', 'n66', 'n69', 'n78', 'n9']\n",
      "['n113', 'n116', 'n122', 'n133', 'n134', 'n136', 'n149', 'n186', 'n198', 'n199', 'n201', 'n22', 'n224', 'n231', 'n232', 'n233', 'n236', 'n24', 'n241', 'n243', 'n248', 'n249', 'n250', 'n255', 'n257', 'n259', 'n263', 'n264', 'n271', 'n272', 'n291', 'n298', 'n30', 'n300', 'n301', 'n303', 'n306', 'n309', 'n312', 'n322', 'n325', 'n33', 'n332', 'n334', 'n341', 'n343', 'n344', 'n348', 'n366', 'n372', 'n63', 'n81', 'n82', 'n84', 'n97']\n",
      "['n10', 'n101', 'n114', 'n117', 'n118', 'n135', 'n163', 'n166', 'n169', 'n170', 'n177', 'n180', 'n192', 'n193', 'n196', 'n197', 'n202', 'n219', 'n32', 'n60', 'n71', 'n85', 'n86', 'n95']\n",
      "['n1', 'n119', 'n120', 'n121', 'n126', 'n138', 'n139', 'n146', 'n151', 'n158', 'n16', 'n212', 'n213', 'n215', 'n222', 'n228', 'n242', 'n244', 'n245', 'n247', 'n252', 'n253', 'n256', 'n260', 'n266', 'n267', 'n275', 'n276', 'n280', 'n281', 'n285', 'n288', 'n289', 'n297', 'n299', 'n302', 'n307', 'n31', 'n311', 'n320', 'n321', 'n324', 'n326', 'n336', 'n347', 'n349', 'n357', 'n358', 'n359', 'n369', 'n59', 'n61', 'n7', 'n91']\n",
      "['n143', 'n174', 'n190', 'n206', 'n38', 'n39']\n",
      "['n124', 'n183', 'n191', 'n205', 'n225', 'n227', 'n246', 'n65', 'n88']\n",
      "['n103', 'n105', 'n106', 'n108', 'n109', 'n11', 'n110', 'n12', 'n131', 'n159', 'n165', 'n167', 'n172', 'n173', 'n179', 'n189', 'n195', 'n2', 'n200', 'n204', 'n207', 'n214', 'n216', 'n230', 'n240', 'n251', 'n254', 'n261', 'n262', 'n270', 'n274', 'n28', 'n282', 'n310', 'n317', 'n319', 'n327', 'n328', 'n335', 'n337', 'n338', 'n339', 'n340', 'n352', 'n353', 'n365', 'n46', 'n47', 'n48', 'n51', 'n6', 'n74', 'n83']\n",
      "['n13', 'n147', 'n185', 'n188', 'n223', 'n25', 'n268', 'n269', 'n283', 'n308', 'n52']\n",
      "['n345', 'n346', 'n350', 'n351', 'n354', 'n356', 'n360', 'n361', 'n362', 'n364', 'n367', 'n368', 'n370', 'n371', 'n373', 'n374', 'n375', 'n376', 'n377', 'n378', 'n380', 'n381', 'n382', 'n383', 'n384', 'n385', 'n386', 'n387', 'n388', 'n389', 'n390', 'n391', 'n392', 'n393', 'n394', 'n395', 'n396', 'n397', 'n398', 'n399']\n",
      "['n115', 'n123', 'n142', 'n145', 'n154', 'n157', 'n181', 'n19', 'n203', 'n209', 'n226', 'n229', 'n234', 'n237', 'n238', 'n239', 'n258', 'n278', 'n279', 'n284', 'n286', 'n287', 'n305', 'n313', 'n315', 'n55']\n",
      "['n111', 'n125', 'n128', 'n137', 'n14', 'n150', 'n152', 'n156', 'n160', 'n168', 'n17', 'n171', 'n175', 'n176', 'n178', 'n182', 'n187', 'n210', 'n217', 'n218', 'n58', 'n70', 'n72', 'n90']\n",
      "['n0', 'n104', 'n107', 'n112', 'n144', 'n20', 'n21', 'n23', 'n27', 'n3', 'n34', 'n37', 'n41', 'n42', 'n43', 'n5', 'n67', 'n77', 'n87', 'n92', 'n93', 'n94']\n",
      "['n102', 'n132', 'n161', 'n26', 'n29', 'n36', 'n4', 'n44', 'n49', 'n53', 'n57', 'n64', 'n68', 'n73', 'n75', 'n76', 'n79', 'n8', 'n80', 'n89', 'n96', 'n98']\n",
      "['n290', 'n304', 'n331', 'n379']\n",
      "---------------------------------------\n",
      "Number of communities found in test1000: 39\n",
      "['n159', 'n193', 'n222', 'n286', 'n357', 'n369', 'n41', 'n420', 'n449', 'n450', 'n474', 'n5', 'n507', 'n521', 'n533', 'n596', 'n617', 'n637', 'n650', 'n685', 'n752', 'n766', 'n851', 'n853', 'n885', 'n900', 'n905', 'n917', 'n925']\n",
      "['n0', 'n116', 'n145', 'n216', 'n232', 'n279', 'n281', 'n288', 'n438', 'n454', 'n465', 'n472', 'n482', 'n523', 'n577', 'n603', 'n620', 'n732', 'n755', 'n760', 'n762', 'n763', 'n841', 'n864', 'n868', 'n901', 'n908', 'n909', 'n918', 'n967', 'n990', 'n996']\n",
      "['n209', 'n266', 'n273', 'n335', 'n359', 'n462', 'n488', 'n535', 'n54', 'n57', 'n580', 'n664', 'n671', 'n686', 'n723', 'n761', 'n77', 'n790', 'n847', 'n866', 'n869', 'n91', 'n912', 'n937']\n",
      "['n223', 'n305', 'n320', 'n379', 'n387', 'n399', 'n401', 'n427', 'n45', 'n51', 'n526', 'n571', 'n602', 'n625', 'n726', 'n75', 'n798', 'n828', 'n842', 'n855', 'n858', 'n930', 'n936', 'n939', 'n949', 'n977', 'n99', 'n992']\n",
      "['n120', 'n165', 'n307', 'n308', 'n32', 'n34', 'n343', 'n367', 'n381', 'n392', 'n419', 'n457', 'n480', 'n484', 'n572', 'n576', 'n589', 'n682', 'n713', 'n782', 'n832', 'n857']\n",
      "['n178', 'n194', 'n203', 'n227', 'n278', 'n301', 'n309', 'n345', 'n365', 'n406', 'n429', 'n439', 'n493', 'n581', 'n599', 'n629', 'n634', 'n66', 'n661', 'n704', 'n722', 'n749', 'n768', 'n801', 'n910', 'n947', 'n986']\n",
      "['n172', 'n176', 'n197', 'n215', 'n254', 'n310', 'n311', 'n332', 'n360', 'n393', 'n4', 'n410', 'n424', 'n453', 'n641', 'n665', 'n724', 'n748', 'n778', 'n812', 'n861', 'n865', 'n871', 'n872', 'n897', 'n975']\n",
      "['n185', 'n224', 'n250', 'n253', 'n263', 'n275', 'n315', 'n324', 'n329', 'n351', 'n396', 'n402', 'n502', 'n52', 'n548', 'n570', 'n573', 'n601', 'n606', 'n642', 'n690', 'n753', 'n941', 'n965', 'n980']\n",
      "['n112', 'n122', 'n18', 'n189', 'n244', 'n259', 'n352', 'n377', 'n378', 'n395', 'n512', 'n567', 'n590', 'n62', 'n632', 'n676', 'n678', 'n703', 'n705', 'n821', 'n824', 'n83', 'n834', 'n899', 'n907', 'n938', 'n943', 'n972', 'n976', 'n978', 'n988']\n",
      "['n147', 'n167', 'n175', 'n208', 'n24', 'n29', 'n291', 'n375', 'n386', 'n408', 'n436', 'n510', 'n522', 'n525', 'n552', 'n627', 'n681', 'n776', 'n780', 'n791', 'n892', 'n94', 'n981']\n",
      "['n108', 'n119', 'n146', 'n171', 'n212', 'n294', 'n316', 'n33', 'n363', 'n520', 'n529', 'n536', 'n575', 'n616', 'n643', 'n648', 'n657', 'n717', 'n719', 'n74', 'n852', 'n876', 'n879', 'n89', 'n987']\n",
      "['n110', 'n141', 'n207', 'n218', 'n237', 'n293', 'n37', 'n391', 'n414', 'n423', 'n496', 'n543', 'n545', 'n546', 'n556', 'n58', 'n583', 'n586', 'n639', 'n771', 'n848', 'n878', 'n888', 'n9', 'n928', 'n954', 'n974', 'n982', 'n994']\n",
      "['n10', 'n199', 'n22', 'n225', 'n255', 'n296', 'n331', 'n350', 'n371', 'n416', 'n431', 'n44', 'n440', 'n509', 'n519', 'n6', 'n61', 'n677', 'n727', 'n728', 'n735', 'n845', 'n875', 'n883', 'n985']\n",
      "['n105', 'n14', 'n166', 'n19', 'n204', 'n213', 'n245', 'n30', 'n355', 'n376', 'n447', 'n515', 'n518', 'n539', 'n544', 'n582', 'n613', 'n623', 'n757', 'n850', 'n86', 'n891', 'n906', 'n95']\n",
      "['n131', 'n133', 'n135', 'n139', 'n140', 'n196', 'n201', 'n303', 'n326', 'n368', 'n374', 'n47', 'n553', 'n597', 'n600', 'n628', 'n659', 'n662', 'n696', 'n708', 'n714', 'n72', 'n843', 'n884', 'n894', 'n933']\n",
      "['n107', 'n148', 'n154', 'n156', 'n168', 'n182', 'n241', 'n242', 'n261', 'n268', 'n340', 'n383', 'n442', 'n547', 'n564', 'n631', 'n640', 'n644', 'n645', 'n70', 'n71', 'n715', 'n822', 'n882']\n",
      "['n117', 'n143', 'n158', 'n177', 'n21', 'n239', 'n256', 'n269', 'n304', 'n313', 'n321', 'n346', 'n356', 'n388', 'n466', 'n497', 'n538', 'n563', 'n59', 'n611', 'n701', 'n785', 'n840', 'n856', 'n863', 'n951', 'n959', 'n962', 'n991', 'n999']\n",
      "['n1', 'n113', 'n16', 'n181', 'n186', 'n195', 'n23', 'n262', 'n276', 'n338', 'n50', 'n504', 'n605', 'n64', 'n694', 'n756', 'n758', 'n769', 'n810', 'n870', 'n890', 'n898', 'n919', 'n969', 'n970']\n",
      "['n12', 'n247', 'n270', 'n289', 'n302', 'n349', 'n354', 'n361', 'n390', 'n498', 'n499', 'n680', 'n689', 'n7', 'n76', 'n783', 'n804', 'n862', 'n867', 'n932', 'n934', 'n946', 'n956', 'n966', 'n983']\n",
      "['n138', 'n238', 'n292', 'n319', 'n40', 'n460', 'n469', 'n477', 'n491', 'n492', 'n495', 'n56', 'n566', 'n578', 'n594', 'n608', 'n635', 'n67', 'n737', 'n8', 'n808', 'n819', 'n820', 'n827', 'n854', 'n877', 'n880', 'n945', 'n993']\n",
      "['n11', 'n174', 'n214', 'n283', 'n333', 'n397', 'n434', 'n448', 'n485', 'n557', 'n558', 'n568', 'n633', 'n716', 'n740', 'n742', 'n744', 'n779', 'n838', 'n88', 'n920', 'n926', 'n97', 'n998']\n",
      "['n144', 'n211', 'n231', 'n282', 'n31', 'n353', 'n418', 'n425', 'n456', 'n464', 'n49', 'n560', 'n584', 'n638', 'n736', 'n787', 'n788', 'n796', 'n809', 'n81', 'n914', 'n927', 'n93', 'n935', 'n963', 'n964', 'n989']\n",
      "['n118', 'n121', 'n124', 'n142', 'n153', 'n228', 'n358', 'n36', 'n476', 'n48', 'n505', 'n60', 'n624', 'n630', 'n670', 'n679', 'n69', 'n691', 'n702', 'n743', 'n807', 'n811', 'n825', 'n846', 'n893', 'n90', 'n957', 'n96', 'n984']\n",
      "['n134', 'n136', 'n150', 'n169', 'n191', 'n20', 'n220', 'n264', 'n285', 'n295', 'n394', 'n445', 'n486', 'n53', 'n562', 'n592', 'n652', 'n656', 'n698', 'n707', 'n772', 'n799', 'n895', 'n958']\n",
      "['n102', 'n128', 'n163', 'n188', 'n235', 'n246', 'n300', 'n314', 'n323', 'n362', 'n385', 'n389', 'n412', 'n42', 'n432', 'n46', 'n470', 'n490', 'n516', 'n531', 'n554', 'n559', 'n565', 'n684', 'n823', 'n915', 'n924', 'n931', 'n971']\n",
      "['n155', 'n157', 'n161', 'n200', 'n226', 'n233', 'n277', 'n478', 'n541', 'n610', 'n688', 'n697', 'n734', 'n750', 'n765', 'n78', 'n802', 'n859', 'n87', 'n922', 'n940', 'n950']\n",
      "['n100', 'n15', 'n184', 'n187', 'n210', 'n221', 'n267', 'n317', 'n370', 'n459', 'n467', 'n489', 'n549', 'n561', 'n587', 'n588', 'n672', 'n695', 'n721', 'n730', 'n738', 'n836', 'n942', 'n960', 'n961']\n",
      "['n111', 'n127', 'n164', 'n206', 'n252', 'n28', 'n284', 'n328', 'n330', 'n334', 'n382', 'n39', 'n411', 'n433', 'n441', 'n444', 'n550', 'n612', 'n692', 'n793', 'n816', 'n839']\n",
      "['n152', 'n179', 'n265', 'n287', 'n306', 'n318', 'n322', 'n336', 'n366', 'n407', 'n461', 'n517', 'n527', 'n574', 'n626', 'n725', 'n73', 'n739', 'n774', 'n794', 'n815', 'n82', 'n860']\n",
      "['n13', 'n160', 'n173', 'n2', 'n243', 'n249', 'n299', 'n3', 'n337', 'n400', 'n415', 'n428', 'n443', 'n513', 'n593', 'n619', 'n653', 'n660', 'n711', 'n712', 'n745', 'n775', 'n777', 'n784', 'n789', 'n797', 'n826', 'n903', 'n913', 'n953', 'n955']\n",
      "['n162', 'n230', 'n240', 'n27', 'n274', 'n380', 'n403', 'n417', 'n468', 'n483', 'n506', 'n591', 'n604', 'n607', 'n658', 'n699', 'n706', 'n806', 'n813', 'n844', 'n85', 'n904', 'n979', 'n98']\n",
      "['n114', 'n132', 'n151', 'n183', 'n217', 'n25', 'n271', 'n312', 'n38', 'n405', 'n426', 'n481', 'n500', 'n514', 'n55', 'n618', 'n63', 'n674', 'n700', 'n786', 'n80', 'n874', 'n929']\n",
      "['n103', 'n106', 'n115', 'n170', 'n180', 'n234', 'n298', 'n344', 'n373', 'n421', 'n43', 'n455', 'n555', 'n622', 'n636', 'n731', 'n759', 'n817', 'n833', 'n849', 'n889', 'n911', 'n973']\n",
      "['n101', 'n236', 'n260', 'n290', 'n297', 'n325', 'n327', 'n342', 'n437', 'n458', 'n487', 'n534', 'n621', 'n654', 'n666', 'n687', 'n710', 'n720', 'n741', 'n746', 'n803', 'n829', 'n835', 'n873', 'n881', 'n92', 'n923']\n",
      "['n125', 'n192', 'n198', 'n219', 'n257', 'n398', 'n409', 'n430', 'n463', 'n475', 'n508', 'n511', 'n530', 'n542', 'n609', 'n615', 'n646', 'n649', 'n668', 'n709', 'n751', 'n781', 'n800', 'n818', 'n896', 'n902', 'n995']\n",
      "['n123', 'n129', 'n17', 'n190', 'n202', 'n272', 'n364', 'n372', 'n473', 'n479', 'n501', 'n528', 'n551', 'n598', 'n647', 'n655', 'n669', 'n68', 'n770', 'n916']\n",
      "['n126', 'n130', 'n229', 'n251', 'n341', 'n435', 'n494', 'n524', 'n532', 'n569', 'n579', 'n614', 'n65', 'n663', 'n667', 'n733', 'n747', 'n764', 'n767', 'n792', 'n805', 'n814', 'n831', 'n837', 'n886', 'n944', 'n948']\n",
      "['n104', 'n137', 'n149', 'n26', 'n280', 'n384', 'n451', 'n452', 'n537', 'n540', 'n585', 'n595', 'n675', 'n683', 'n729', 'n754', 'n773', 'n79', 'n968', 'n997']\n",
      "['n109', 'n205', 'n248', 'n258', 'n339', 'n347', 'n348', 'n35', 'n404', 'n413', 'n422', 'n446', 'n471', 'n503', 'n651', 'n673', 'n693', 'n718', 'n795', 'n830', 'n84', 'n887', 'n921', 'n952']\n",
      "---------------------------------------\n"
     ]
    }
   ],
   "source": [
    "##\"k\" is the number of clusters to be found\n",
    "n_asynfluid_a = []\n",
    "avals = [3, 4, 15, 39]\n",
    "for i in range(len(graphs)):\n",
    "    n_a = list(asyn_fluidc(nx.DiGraph.to_undirected(graphs[i]), avals[i]))\n",
    "    print(\"Number of communities found in %s: %s\"% (gnames[i], len(n_a)))\n",
    "    for j in n_a:\n",
    "        print(sorted(j))\n",
    "    n_asynfluid_a.append(n_a)\n",
    "    print(sprtr)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Number of communities found in test75: 8\n",
      "['n19', 'n24', 'n25', 'n29', 'n31', 'n35', 'n37', 'n47', 'n57', 'n6', 'n68', 'n71', 'n73']\n",
      "['n0', 'n13', 'n26', 'n28', 'n61', 'n72', 'n8']\n",
      "['n1', 'n21', 'n27', 'n32', 'n38', 'n4', 'n40', 'n52', 'n59', 'n62', 'n64', 'n66', 'n67']\n",
      "['n3', 'n36', 'n41', 'n43', 'n45', 'n58', 'n60', 'n65']\n",
      "['n10', 'n11', 'n16', 'n18', 'n5']\n",
      "['n15', 'n44', 'n46', 'n49', 'n50', 'n51', 'n56', 'n70', 'n74', 'n9']\n",
      "['n12', 'n14', 'n2', 'n22', 'n30', 'n42', 'n55', 'n63', 'n69', 'n7']\n",
      "['n17', 'n20', 'n23', 'n33', 'n34', 'n39', 'n48', 'n53', 'n54']\n",
      "---------------------------------------\n",
      "Number of communities found in test100: 12\n",
      "['n1', 'n13', 'n20', 'n27', 'n36', 'n49', 'n51', 'n59', 'n74', 'n80']\n",
      "['n4', 'n41', 'n57', 'n62', 'n71', 'n79', 'n85', 'n90', 'n91', 'n92']\n",
      "['n35', 'n50', 'n52', 'n53', 'n67', 'n68', 'n70', 'n94', 'n95']\n",
      "['n19', 'n28', 'n39', 'n42', 'n48', 'n63', 'n75', 'n8', 'n97']\n",
      "['n14', 'n16', 'n22', 'n64', 'n65', 'n72', 'n78', 'n81', 'n86', 'n87', 'n88', 'n98']\n",
      "['n12', 'n23', 'n32', 'n44', 'n55', 'n69', 'n9']\n",
      "['n10', 'n11', 'n15', 'n30', 'n47', 'n56', 'n6', 'n60', 'n76', 'n89']\n",
      "['n18', 'n21', 'n33', 'n40', 'n7', 'n96']\n",
      "['n17', 'n2', 'n25', 'n82']\n",
      "['n29', 'n34', 'n37', 'n46', 'n54', 'n61', 'n73', 'n83', 'n84', 'n93']\n",
      "['n31', 'n45', 'n5', 'n66', 'n77', 'n99']\n",
      "['n0', 'n24', 'n26', 'n3', 'n38', 'n43', 'n58']\n",
      "---------------------------------------\n",
      "Number of communities found in test400: 48\n",
      "['n208', 'n265', 'n295', 'n316', 'n318', 'n330', 'n99']\n",
      "['n136', 'n22', 'n243', 'n301', 'n306', 'n312', 'n348']\n",
      "['n235', 'n273', 'n277', 'n293', 'n314', 'n329', 'n331', 'n333', 'n355', 'n50']\n",
      "['n185', 'n190', 'n223', 'n246', 'n39', 'n52']\n",
      "['n103', 'n12', 'n173', 'n179', 'n28', 'n6', 'n74']\n",
      "['n2', 'n240', 'n251', 'n254', 'n261', 'n262', 'n282', 'n335', 'n365', 'n48']\n",
      "['n211', 'n220', 'n221', 'n294', 'n363']\n",
      "['n115', 'n123', 'n154', 'n181', 'n19', 'n209', 'n229', 'n234', 'n287', 'n290', 'n305', 'n313', 'n315']\n",
      "['n178', 'n347', 'n375']\n",
      "['n121', 'n288', 'n302', 'n7']\n",
      "['n0', 'n104', 'n107', 'n112', 'n144', 'n20', 'n21', 'n23', 'n27', 'n3', 'n34', 'n37', 'n41', 'n42', 'n43', 'n5', 'n67', 'n77', 'n87', 'n92', 'n93', 'n94']\n",
      "['n106', 'n109', 'n11', 'n110', 'n131', 'n159', 'n165', 'n172', 'n189', 'n200', 'n216', 'n230', 'n270', 'n274', 'n46', 'n47', 'n51']\n",
      "['n138', 'n260', 'n266', 'n280', 'n297', 'n326', 'n61']\n",
      "['n137', 'n14', 'n150', 'n17', 'n175', 'n210', 'n217']\n",
      "['n149', 'n250', 'n332', 'n334', 'n343', 'n344', 'n372', 'n84']\n",
      "['n113', 'n133', 'n224', 'n255', 'n263', 'n271', 'n291', 'n298', 'n30', 'n303', 'n81', 'n82']\n",
      "['n116', 'n134', 'n201', 'n231', 'n232', 'n241', 'n248', 'n272', 'n309', 'n63', 'n97']\n",
      "['n167', 'n195', 'n204', 'n214', 'n317', 'n337', 'n338', 'n83']\n",
      "['n126', 'n215', 'n307', 'n31', 'n311']\n",
      "['n125', 'n128', 'n171', 'n70']\n",
      "['n100', 'n127', 'n129', 'n140', 'n141', 'n15', 'n153', 'n155', 'n162', 'n164', 'n18', 'n194', 'n35', 'n40', 'n45', 'n54', 'n56', 'n62', 'n66', 'n69', 'n78', 'n9']\n",
      "['n119', 'n340', 'n346']\n",
      "['n166', 'n296', 'n300']\n",
      "['n10', 'n114', 'n117', 'n118', 'n135', 'n163', 'n169', 'n170', 'n177', 'n180', 'n192', 'n193', 'n196', 'n197', 'n202', 'n219', 'n32', 'n60', 'n71', 'n85', 'n86', 'n95']\n",
      "['n161', 'n36', 'n53', 'n75', 'n89', 'n96']\n",
      "['n152', 'n156', 'n160', 'n168', 'n90']\n",
      "['n139', 'n242', 'n244', 'n247', 'n91']\n",
      "['n146', 'n158', 'n212', 'n245', 'n252', 'n253', 'n267', 'n275', 'n276', 'n281', 'n285', 'n304', 'n321', 'n336', 'n357', 'n358', 'n359']\n",
      "['n1', 'n120', 'n213', 'n289', 'n299']\n",
      "['n279', 'n383', 'n398']\n",
      "['n102', 'n26', 'n29', 'n57', 'n79', 'n80', 'n98']\n",
      "['n130', 'n148', 'n292', 'n323', 'n342']\n",
      "['n105', 'n108', 'n310', 'n319', 'n327', 'n328', 'n339', 'n352', 'n353']\n",
      "['n142', 'n145', 'n157', 'n226', 'n237', 'n239', 'n258', 'n278', 'n284', 'n286', 'n55']\n",
      "['n124', 'n174', 'n227', 'n268', 'n88']\n",
      "['n13', 'n143', 'n183', 'n205', 'n225', 'n25', 'n65']\n",
      "['n132', 'n4', 'n44', 'n49', 'n64', 'n68', 'n73', 'n76', 'n8']\n",
      "['n184', 'n207']\n",
      "['n238', 'n256', 'n324']\n",
      "['n111', 'n176', 'n182', 'n187', 'n218', 'n58', 'n72']\n",
      "['n151', 'n341']\n",
      "['n351', 'n356', 'n360', 'n362', 'n368', 'n373', 'n374', 'n377', 'n379', 'n381', 'n382', 'n385', 'n386', 'n387', 'n388', 'n389', 'n395', 'n397', 'n399']\n",
      "['n122', 'n186', 'n198', 'n199', 'n236', 'n249', 'n259', 'n264', 'n322', 'n325', 'n366']\n",
      "['n101', 'n203']\n",
      "['n147', 'n188', 'n191', 'n206', 'n269', 'n283', 'n308', 'n38']\n",
      "['n233', 'n24', 'n257', 'n33']\n",
      "['n16', 'n222', 'n228', 'n320', 'n349', 'n369', 'n59']\n",
      "['n345', 'n350', 'n354', 'n361', 'n364', 'n367', 'n370', 'n371', 'n376', 'n378', 'n380', 'n384', 'n390', 'n391', 'n392', 'n393', 'n394', 'n396']\n",
      "---------------------------------------\n",
      "Number of communities found in test1000: 3\n",
      "['n1', 'n10', 'n100', 'n102', 'n106', 'n111', 'n115', 'n122', 'n126', 'n127', 'n13', 'n133', 'n134', 'n145', 'n147', 'n152', 'n160', 'n162', 'n17', 'n170', 'n174', 'n175', 'n178', 'n179', 'n180', 'n184', 'n185', 'n186', 'n187', 'n188', 'n189', 'n191', 'n193', 'n194', 'n197', 'n198', 'n199', 'n2', 'n201', 'n202', 'n208', 'n212', 'n217', 'n22', 'n220', 'n223', 'n225', 'n229', 'n23', 'n236', 'n238', 'n24', 'n243', 'n244', 'n255', 'n258', 'n259', 'n260', 'n267', 'n271', 'n273', 'n274', 'n276', 'n279', 'n280', 'n283', 'n288', 'n290', 'n292', 'n298', 'n299', 'n301', 'n306', 'n308', 'n311', 'n313', 'n315', 'n316', 'n317', 'n32', 'n320', 'n324', 'n325', 'n33', 'n330', 'n335', 'n336', 'n337', 'n342', 'n343', 'n352', 'n357', 'n364', 'n369', 'n373', 'n375', 'n377', 'n381', 'n384', 'n385', 'n387', 'n388', 'n39', 'n394', 'n395', 'n398', 'n40', 'n400', 'n401', 'n408', 'n409', 'n410', 'n411', 'n421', 'n428', 'n43', 'n430', 'n431', 'n435', 'n436', 'n437', 'n441', 'n443', 'n448', 'n449', 'n450', 'n458', 'n46', 'n460', 'n462', 'n463', 'n467', 'n469', 'n473', 'n475', 'n477', 'n479', 'n482', 'n486', 'n488', 'n493', 'n494', 'n495', 'n5', 'n50', 'n504', 'n510', 'n513', 'n524', 'n529', 'n53', 'n530', 'n534', 'n536', 'n537', 'n54', 'n540', 'n542', 'n546', 'n550', 'n551', 'n552', 'n555', 'n556', 'n56', 'n561', 'n562', 'n565', 'n566', 'n567', 'n57', 'n575', 'n578', 'n579', 'n580', 'n585', 'n588', 'n589', 'n590', 'n591', 'n593', 'n596', 'n603', 'n605', 'n606', 'n607', 'n615', 'n618', 'n619', 'n62', 'n621', 'n626', 'n627', 'n629', 'n632', 'n636', 'n64', 'n640', 'n643', 'n647', 'n648', 'n649', 'n650', 'n652', 'n653', 'n654', 'n655', 'n657', 'n658', 'n660', 'n663', 'n664', 'n667', 'n668', 'n669', 'n678', 'n681', 'n682', 'n686', 'n695', 'n7', 'n703', 'n704', 'n705', 'n706', 'n709', 'n712', 'n719', 'n720', 'n722', 'n723', 'n724', 'n73', 'n730', 'n733', 'n738', 'n739', 'n74', 'n741', 'n743', 'n745', 'n749', 'n751', 'n754', 'n755', 'n756', 'n761', 'n766', 'n77', 'n770', 'n775', 'n776', 'n777', 'n780', 'n781', 'n784', 'n785', 'n790', 'n791', 'n792', 'n797', 'n799', 'n8', 'n800', 'n801', 'n803', 'n804', 'n812', 'n814', 'n815', 'n817', 'n818', 'n82', 'n820', 'n824', 'n826', 'n827', 'n83', 'n831', 'n833', 'n834', 'n839', 'n845', 'n847', 'n849', 'n852', 'n853', 'n854', 'n856', 'n858', 'n860', 'n865', 'n866', 'n867', 'n871', 'n873', 'n876', 'n88', 'n881', 'n882', 'n886', 'n887', 'n892', 'n897', 'n899', 'n902', 'n907', 'n91', 'n910', 'n911', 'n912', 'n913', 'n916', 'n919', 'n925', 'n926', 'n932', 'n936', 'n937', 'n943', 'n953', 'n955', 'n960', 'n961', 'n962', 'n966', 'n969', 'n97', 'n970', 'n972', 'n973', 'n974', 'n976', 'n988', 'n992', 'n993', 'n996', 'n997']\n",
      "['n0', 'n101', 'n103', 'n104', 'n105', 'n109', 'n11', 'n117', 'n119', 'n12', 'n120', 'n125', 'n128', 'n130', 'n132', 'n135', 'n136', 'n137', 'n138', 'n139', 'n14', 'n140', 'n143', 'n149', 'n155', 'n157', 'n159', 'n161', 'n165', 'n166', 'n173', 'n177', 'n18', 'n19', 'n192', 'n200', 'n204', 'n21', 'n211', 'n213', 'n215', 'n216', 'n221', 'n226', 'n230', 'n233', 'n234', 'n235', 'n239', 'n245', 'n247', 'n248', 'n249', 'n252', 'n253', 'n254', 'n256', 'n257', 'n26', 'n266', 'n269', 'n270', 'n275', 'n28', 'n281', 'n282', 'n285', 'n286', 'n289', 'n29', 'n291', 'n295', 'n296', 'n297', 'n3', 'n30', 'n304', 'n305', 'n307', 'n309', 'n314', 'n318', 'n319', 'n321', 'n327', 'n329', 'n331', 'n334', 'n339', 'n34', 'n344', 'n345', 'n346', 'n349', 'n35', 'n350', 'n351', 'n355', 'n36', 'n360', 'n362', 'n365', 'n366', 'n368', 'n371', 'n372', 'n374', 'n376', 'n379', 'n38', 'n380', 'n382', 'n389', 'n390', 'n392', 'n393', 'n396', 'n397', 'n4', 'n402', 'n403', 'n404', 'n405', 'n406', 'n41', 'n413', 'n416', 'n419', 'n422', 'n425', 'n433', 'n439', 'n44', 'n440', 'n444', 'n445', 'n446', 'n447', 'n451', 'n454', 'n457', 'n459', 'n464', 'n465', 'n466', 'n47', 'n472', 'n474', 'n478', 'n48', 'n483', 'n484', 'n489', 'n491', 'n492', 'n497', 'n498', 'n499', 'n501', 'n503', 'n506', 'n507', 'n508', 'n51', 'n511', 'n512', 'n515', 'n518', 'n519', 'n52', 'n521', 'n523', 'n527', 'n531', 'n532', 'n533', 'n535', 'n538', 'n539', 'n541', 'n544', 'n55', 'n553', 'n554', 'n557', 'n560', 'n563', 'n570', 'n571', 'n573', 'n576', 'n581', 'n582', 'n587', 'n59', 'n592', 'n594', 'n595', 'n597', 'n599', 'n6', 'n600', 'n601', 'n609', 'n61', 'n610', 'n611', 'n612', 'n613', 'n616', 'n620', 'n622', 'n623', 'n628', 'n634', 'n635', 'n637', 'n638', 'n641', 'n642', 'n646', 'n65', 'n656', 'n66', 'n665', 'n666', 'n67', 'n670', 'n671', 'n672', 'n673', 'n674', 'n677', 'n68', 'n683', 'n688', 'n690', 'n693', 'n696', 'n697', 'n699', 'n700', 'n701', 'n707', 'n708', 'n710', 'n714', 'n718', 'n727', 'n728', 'n731', 'n734', 'n735', 'n736', 'n737', 'n742', 'n746', 'n747', 'n748', 'n750', 'n752', 'n753', 'n757', 'n759', 'n762', 'n764', 'n765', 'n767', 'n768', 'n769', 'n778', 'n779', 'n78', 'n786', 'n789', 'n79', 'n793', 'n795', 'n796', 'n80', 'n802', 'n805', 'n808', 'n813', 'n816', 'n819', 'n821', 'n828', 'n830', 'n837', 'n838', 'n840', 'n841', 'n844', 'n850', 'n859', 'n861', 'n862', 'n863', 'n864', 'n868', 'n869', 'n87', 'n875', 'n877', 'n880', 'n883', 'n884', 'n885', 'n891', 'n894', 'n895', 'n896', 'n9', 'n900', 'n901', 'n905', 'n906', 'n908', 'n909', 'n917', 'n918', 'n92', 'n921', 'n922', 'n924', 'n927', 'n930', 'n931', 'n934', 'n935', 'n938', 'n939', 'n940', 'n941', 'n942', 'n944', 'n945', 'n947', 'n948', 'n95', 'n950', 'n951', 'n952', 'n958', 'n959', 'n963', 'n964', 'n965', 'n967', 'n968', 'n975', 'n978', 'n980', 'n983', 'n985', 'n986', 'n989', 'n990', 'n991', 'n995', 'n999']\n",
      "['n107', 'n108', 'n110', 'n112', 'n113', 'n114', 'n116', 'n118', 'n121', 'n123', 'n124', 'n129', 'n131', 'n141', 'n142', 'n144', 'n146', 'n148', 'n15', 'n150', 'n151', 'n153', 'n154', 'n156', 'n158', 'n16', 'n163', 'n164', 'n167', 'n168', 'n169', 'n171', 'n172', 'n176', 'n181', 'n182', 'n183', 'n190', 'n195', 'n196', 'n20', 'n203', 'n205', 'n206', 'n207', 'n209', 'n210', 'n214', 'n218', 'n219', 'n222', 'n224', 'n227', 'n228', 'n231', 'n232', 'n237', 'n240', 'n241', 'n242', 'n246', 'n25', 'n250', 'n251', 'n261', 'n262', 'n263', 'n264', 'n265', 'n268', 'n27', 'n272', 'n277', 'n278', 'n284', 'n287', 'n293', 'n294', 'n300', 'n302', 'n303', 'n31', 'n310', 'n312', 'n322', 'n323', 'n326', 'n328', 'n332', 'n333', 'n338', 'n340', 'n341', 'n347', 'n348', 'n353', 'n354', 'n356', 'n358', 'n359', 'n361', 'n363', 'n367', 'n37', 'n370', 'n378', 'n383', 'n386', 'n391', 'n399', 'n407', 'n412', 'n414', 'n415', 'n417', 'n418', 'n42', 'n420', 'n423', 'n424', 'n426', 'n427', 'n429', 'n432', 'n434', 'n438', 'n442', 'n45', 'n452', 'n453', 'n455', 'n456', 'n461', 'n468', 'n470', 'n471', 'n476', 'n480', 'n481', 'n485', 'n487', 'n49', 'n490', 'n496', 'n500', 'n502', 'n505', 'n509', 'n514', 'n516', 'n517', 'n520', 'n522', 'n525', 'n526', 'n528', 'n543', 'n545', 'n547', 'n548', 'n549', 'n558', 'n559', 'n564', 'n568', 'n569', 'n572', 'n574', 'n577', 'n58', 'n583', 'n584', 'n586', 'n598', 'n60', 'n602', 'n604', 'n608', 'n614', 'n617', 'n624', 'n625', 'n63', 'n630', 'n631', 'n633', 'n639', 'n644', 'n645', 'n651', 'n659', 'n661', 'n662', 'n675', 'n676', 'n679', 'n680', 'n684', 'n685', 'n687', 'n689', 'n69', 'n691', 'n692', 'n694', 'n698', 'n70', 'n702', 'n71', 'n711', 'n713', 'n715', 'n716', 'n717', 'n72', 'n721', 'n725', 'n726', 'n729', 'n732', 'n740', 'n744', 'n75', 'n758', 'n76', 'n760', 'n763', 'n771', 'n772', 'n773', 'n774', 'n782', 'n783', 'n787', 'n788', 'n794', 'n798', 'n806', 'n807', 'n809', 'n81', 'n810', 'n811', 'n822', 'n823', 'n825', 'n829', 'n832', 'n835', 'n836', 'n84', 'n842', 'n843', 'n846', 'n848', 'n85', 'n851', 'n855', 'n857', 'n86', 'n870', 'n872', 'n874', 'n878', 'n879', 'n888', 'n889', 'n89', 'n890', 'n893', 'n898', 'n90', 'n903', 'n904', 'n914', 'n915', 'n920', 'n923', 'n928', 'n929', 'n93', 'n933', 'n94', 'n946', 'n949', 'n954', 'n956', 'n957', 'n96', 'n971', 'n977', 'n979', 'n98', 'n981', 'n982', 'n984', 'n987', 'n99', 'n994', 'n998']\n",
      "---------------------------------------\n"
     ]
    }
   ],
   "source": [
    "n_asynfluid_b = []\n",
    "bvals = [8, 12, 48, 3]\n",
    "for i in range(len(graphs)):\n",
    "    n_b = list(asyn_fluidc(nx.DiGraph.to_undirected(graphs[i]), bvals[i]))\n",
    "    print(\"Number of communities found in %s: %s\"% (gnames[i], len(n_b)))\n",
    "    for j in n_b:\n",
    "        print(sorted(j))\n",
    "    n_asynfluid_b.append(n_b)\n",
    "    print(sprtr)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Number of communities found in test75: 11\n",
      "['n3', 'n36', 'n42', 'n43', 'n45', 'n69']\n",
      "['n12', 'n2', 'n30', 'n35', 'n39']\n",
      "['n0', 'n22', 'n24', 'n25', 'n29', 'n37', 'n47', 'n57', 'n60', 'n68', 'n72', 'n73']\n",
      "['n17', 'n20', 'n33', 'n34', 'n53', 'n54', 'n9']\n",
      "['n11', 'n21', 'n31', 'n41', 'n49', 'n58', 'n6', 'n70', 'n71']\n",
      "['n27', 'n32', 'n40', 'n59', 'n63', 'n66', 'n67']\n",
      "['n1', 'n38', 'n4', 'n52', 'n55', 'n64', 'n65']\n",
      "['n26', 'n5', 'n56', 'n61', 'n7']\n",
      "['n19', 'n23', 'n28', 'n44', 'n48']\n",
      "['n10', 'n15', 'n18', 'n51']\n",
      "['n13', 'n14', 'n16', 'n46', 'n50', 'n62', 'n74', 'n8']\n",
      "---------------------------------------\n",
      "Number of communities found in test100: 16\n",
      "['n15', 'n22', 'n56', 'n62', 'n76', 'n92']\n",
      "['n10', 'n34', 'n36', 'n46', 'n54', 'n63', 'n93', 'n97']\n",
      "['n17', 'n19', 'n48', 'n75']\n",
      "['n23', 'n44', 'n5', 'n55', 'n69', 'n9']\n",
      "['n0', 'n16', 'n24', 'n26', 'n38', 'n43', 'n99']\n",
      "['n2', 'n25', 'n42', 'n82']\n",
      "['n57', 'n73', 'n84', 'n89', 'n90']\n",
      "['n12', 'n28', 'n31', 'n86', 'n96']\n",
      "['n39', 'n53', 'n8', 'n94']\n",
      "['n14', 'n37', 'n64', 'n65', 'n78', 'n87', 'n88']\n",
      "['n18', 'n21', 'n33', 'n4', 'n40', 'n7']\n",
      "['n32', 'n45', 'n66', 'n72', 'n81']\n",
      "['n11', 'n29', 'n41', 'n47', 'n6', 'n60', 'n79']\n",
      "['n30', 'n61', 'n71', 'n77', 'n83', 'n85', 'n91', 'n98']\n",
      "['n3', 'n35', 'n50', 'n52', 'n58', 'n67', 'n68', 'n70', 'n95']\n",
      "['n1', 'n13', 'n20', 'n27', 'n49', 'n51', 'n59', 'n74', 'n80']\n",
      "---------------------------------------\n",
      "Number of communities found in test400: 63\n",
      "['n130', 'n208', 'n277', 'n314', 'n316', 'n333', 'n363']\n",
      "['n199', 'n259', 'n300', 'n334', 'n84']\n",
      "['n17', 'n178', 'n187', 'n217', 'n90']\n",
      "['n116', 'n233', 'n24', 'n241', 'n263', 'n33']\n",
      "['n133', 'n201', 'n224', 'n255', 'n97']\n",
      "['n11', 'n12', 'n165', 'n173', 'n179', 'n200', 'n207', 'n270', 'n51', 'n6']\n",
      "['n356', 'n361', 'n362', 'n385', 'n390', 'n391', 'n396']\n",
      "['n13', 'n183', 'n185', 'n188', 'n223', 'n283', 'n308']\n",
      "['n134', 'n257', 'n291', 'n63']\n",
      "['n143', 'n174', 'n190', 'n206', 'n227', 'n268', 'n38', 'n39']\n",
      "['n16', 'n267', 'n275', 'n276', 'n320', 'n321', 'n324']\n",
      "['n261', 'n262', 'n337', 'n346']\n",
      "['n118', 'n382']\n",
      "['n113', 'n232', 'n248', 'n30']\n",
      "['n182', 'n312', 'n82']\n",
      "['n1', 'n126', 'n139', 'n242', 'n302', 'n307', 'n311']\n",
      "['n102', 'n132', 'n44', 'n49', 'n64', 'n75', 'n79']\n",
      "['n2', 'n282', 'n310', 'n340', 'n352', 'n353', 'n365', 'n48']\n",
      "['n246', 'n313', 'n354']\n",
      "['n120', 'n151', 'n266', 'n280', 'n326']\n",
      "['n121', 'n244', 'n260', 'n288', 'n7']\n",
      "['n163', 'n358']\n",
      "['n100', 'n127', 'n162', 'n40', 'n54', 'n62', 'n66']\n",
      "['n158', 'n245', 'n252', 'n285', 'n336']\n",
      "['n271', 'n298', 'n309', 'n81']\n",
      "['n136', 'n186', 'n249', 'n264', 'n322', 'n332', 'n343', 'n348']\n",
      "['n101', 'n114', 'n135', 'n177', 'n192', 'n219', 'n60', 'n85']\n",
      "['n196', 'n32', 'n71', 'n95']\n",
      "['n235', 'n273', 'n292', 'n296', 'n318', 'n323', 'n330', 'n331', 'n355', 'n50']\n",
      "['n119', 'n146', 'n212', 'n253', 'n281', 'n304', 'n349', 'n359']\n",
      "['n243', 'n328']\n",
      "['n350', 'n367', 'n373', 'n380', 'n383', 'n392']\n",
      "['n152', 'n156', 'n160', 'n168', 'n210', 'n218', 'n70']\n",
      "['n111', 'n125', 'n128', 'n137', 'n14', 'n150']\n",
      "['n10', 'n117', 'n166', 'n169', 'n180', 'n193', 'n197', 'n202', 'n86']\n",
      "['n15', 'n153', 'n164', 'n35', 'n56', 'n69', 'n78', 'n9']\n",
      "['n108', 'n394', 'n399']\n",
      "['n370', 'n371', 'n377', 'n379', 'n381', 'n387']\n",
      "['n170', 'n198']\n",
      "['n105', 'n240', 'n251', 'n254', 'n317', 'n319', 'n335', 'n339']\n",
      "['n222', 'n228', 'n256', 'n347', 'n357', 'n369', 'n59']\n",
      "['n129', 'n140', 'n141', 'n155', 'n18', 'n184', 'n194', 'n45']\n",
      "['n115', 'n123', 'n142', 'n145', 'n154', 'n157', 'n181', 'n19', 'n203', 'n209', 'n226', 'n229', 'n234', 'n237', 'n238', 'n239', 'n258', 'n278', 'n279', 'n284', 'n286', 'n287', 'n290', 'n305', 'n315', 'n55']\n",
      "['n167', 'n195', 'n204', 'n214', 'n327', 'n338', 'n83']\n",
      "['n171', 'n175', 'n176', 'n58']\n",
      "['n374', 'n99']\n",
      "['n103', 'n106', 'n110', 'n131', 'n172', 'n230', 'n274', 'n28']\n",
      "['n109', 'n189', 'n216', 'n46', 'n47', 'n74']\n",
      "['n191', 'n205', 'n52', 'n65', 'n88']\n",
      "['n138', 'n213', 'n215', 'n247', 'n289', 'n297', 'n299', 'n61', 'n91']\n",
      "['n0', 'n104', 'n107', 'n112', 'n144', 'n20', 'n21', 'n23', 'n27', 'n3', 'n34', 'n37', 'n41', 'n42', 'n43', 'n5', 'n67', 'n77', 'n87', 'n92', 'n93', 'n94']\n",
      "['n148', 'n220', 'n221', 'n265', 'n293', 'n294', 'n295', 'n329', 'n342']\n",
      "['n124', 'n147', 'n225', 'n25', 'n269']\n",
      "['n26', 'n29', 'n36', 'n4', 'n73', 'n76', 'n80', 'n98']\n",
      "['n231', 'n389']\n",
      "['n122', 'n149', 'n22', 'n250', 'n301', 'n306', 'n325', 'n341', 'n344', 'n366', 'n372']\n",
      "['n272', 'n303', 'n376']\n",
      "['n236', 'n378']\n",
      "['n161', 'n53', 'n57', 'n68', 'n8', 'n89', 'n96']\n",
      "['n31', 'n72']\n",
      "['n159', 'n211']\n",
      "['n368', 'n388', 'n393', 'n395', 'n397', 'n398']\n",
      "['n345', 'n351', 'n360', 'n364', 'n375', 'n384', 'n386']\n",
      "---------------------------------------\n",
      "Number of communities found in test1000: 42\n",
      "['n100', 'n158', 'n197', 'n203', 'n245', 'n317', 'n329', 'n356', 'n36', 'n467', 'n496', 'n556', 'n56', 'n583', 'n611', 'n634', 'n661', 'n670', 'n743', 'n768', 'n95', 'n960', 'n974', 'n98']\n",
      "['n116', 'n177', 'n226', 'n267', 'n280', 'n344', 'n388', 'n418', 'n459', 'n478', 'n533', 'n560', 'n563', 'n724', 'n750', 'n760', 'n78', 'n809', 'n905', 'n940']\n",
      "['n114', 'n125', 'n145', 'n192', 'n198', 'n206', 'n219', 'n239', 'n248', 'n328', 'n38', 'n43', 'n482', 'n483', 'n507', 'n508', 'n511', 'n609', 'n637', 'n646', 'n718', 'n828', 'n885', 'n954', 'n992']\n",
      "['n154', 'n167', 'n2', 'n208', 'n261', 'n262', 'n301', 'n31', 'n385', 'n386', 'n493', 'n516', 'n522', 'n525', 'n617', 'n645', 'n715', 'n758', 'n776', 'n892', 'n93', 'n963', 'n981', 'n99']\n",
      "['n0', 'n183', 'n220', 'n295', 'n307', 'n346', 'n370', 'n426', 'n466', 'n474', 'n549', 'n55', 'n620', 'n698', 'n700', 'n707', 'n844', 'n929', 'n942', 'n951', 'n967', 'n975']\n",
      "['n123', 'n129', 'n160', 'n18', 'n184', 'n190', 'n199', 'n202', 'n22', 'n272', 'n299', 'n336', 'n396', 'n404', 'n440', 'n445', 'n548', 'n590', 'n692', 'n710', 'n774', 'n83', 'n978']\n",
      "['n131', 'n146', 'n148', 'n151', 'n175', 'n178', 'n214', 'n24', 'n241', 'n242', 'n253', 'n275', 'n322', 'n502', 'n564', 'n573', 'n612', 'n618', 'n631', 'n744', 'n822', 'n920', 'n928']\n",
      "['n1', 'n105', 'n155', 'n23', 'n394', 'n400', 'n515', 'n541', 'n544', 'n582', 'n589', 'n593', 'n623', 'n660', 'n697', 'n756', 'n797', 'n802', 'n810', 'n859', 'n955']\n",
      "['n130', 'n298', 'n302', 'n313', 'n354', 'n417', 'n481', 'n494', 'n509', 'n524', 'n622', 'n65', 'n680', 'n69', 'n733', 'n764', 'n767', 'n837', 'n867', 'n979']\n",
      "['n289', 'n349', 'n364', 'n39', 'n40', 'n452', 'n486', 'n491', 'n498', 'n499', 'n50', 'n504', 'n592', 'n7', 'n770', 'n801', 'n819', 'n926', 'n932', 'n966', 'n97', 'n970']\n",
      "['n113', 'n120', 'n150', 'n162', 'n215', 'n257', 'n274', 'n279', 'n32', 'n389', 'n530', 'n605', 'n649', 'n658', 'n699', 'n732', 'n781', 'n800', 'n818', 'n864', 'n896', 'n918', 'n995']\n",
      "['n122', 'n135', 'n170', 'n205', 'n305', 'n320', 'n387', 'n399', 'n401', 'n51', 'n571', 'n591', 'n602', 'n709', 'n726', 'n798', 'n82', 'n84', 'n858', 'n921', 'n930', 'n936', 'n939', 'n949', 'n973']\n",
      "['n138', 'n15', 'n187', 'n221', 'n258', 'n297', 'n489', 'n492', 'n561', 'n578', 'n587', 'n594', 'n635', 'n662', 'n672', 'n686', 'n695', 'n716', 'n730', 'n877', 'n887', 'n904', 'n923', 'n961']\n",
      "['n103', 'n156', 'n222', 'n249', 'n263', 'n282', 'n3', 'n337', 'n425', 'n604', 'n607', 'n693', 'n706', 'n765', 'n788', 'n789', 'n806', 'n85', 'n914', 'n927', 'n935']\n",
      "['n110', 'n172', 'n196', 'n207', 'n218', 'n315', 'n324', 'n351', 'n402', 'n414', 'n423', 'n457', 'n484', 'n497', 'n545', 'n570', 'n606', 'n639', 'n642', 'n753', 'n771', 'n848', 'n878', 'n9', 'n941', 'n994']\n",
      "['n126', 'n182', 'n195', 'n27', 'n353', 'n357', 'n393', 'n398', 'n435', 'n542', 'n579', 'n704', 'n720', 'n722', 'n763', 'n831', 'n841', 'n856', 'n87', 'n886', 'n910', 'n990']\n",
      "['n127', 'n209', 'n284', 'n291', 'n335', 'n374', 'n411', 'n444', 'n462', 'n488', 'n532', 'n535', 'n54', 'n550', 'n57', 'n58', 'n580', 'n614', 'n664', 'n667', 'n671', 'n723', 'n73', 'n747', 'n748', 'n790', 'n805', 'n839', 'n847', 'n91', 'n912', 'n944', 'n965']\n",
      "['n157', 'n180', 'n210', 'n230', 'n234', 'n237', 'n240', 'n342', 'n380', 'n384', 'n391', 'n392', 'n403', 'n506', 'n586', 'n66', 'n721', 'n731', 'n759', 'n813', 'n836', 'n888', 'n982']\n",
      "['n133', 'n168', 'n176', 'n193', 'n224', 'n312', 'n332', 'n375', 'n44', 'n441', 'n449', 'n479', 'n5', 'n547', 'n603', 'n644', 'n650', 'n71', 'n766', 'n780', 'n853', 'n872', 'n996']\n",
      "['n109', 'n171', 'n250', 'n260', 'n286', 'n287', 'n290', 'n293', 'n327', 'n363', 'n407', 'n413', 'n420', 'n517', 'n596', 'n746', 'n752', 'n794', 'n803', 'n917']\n",
      "['n161', 'n200', 'n231', 'n255', 'n294', 'n296', 'n318', 'n358', 'n456', 'n519', 'n61', 'n610', 'n656', 'n688', 'n727', 'n728', 'n734', 'n735', 'n875', 'n883', 'n922', 'n950', 'n985']\n",
      "['n134', 'n169', 'n20', 'n264', 'n277', 'n323', 'n350', 'n366', 'n368', 'n416', 'n436', 'n446', 'n450', 'n527', 'n562', 'n601', 'n657', 'n681', 'n696', 'n74', 'n799', 'n952', 'n971', 'n989']\n",
      "['n106', 'n11', 'n115', 'n12', 'n159', 'n174', 'n270', 'n283', 'n373', 'n390', 'n41', 'n421', 'n448', 'n468', 'n555', 'n557', 'n636', 'n640', 'n742', 'n779', 'n817', 'n833', 'n838', 'n849', 'n88', 'n882', 'n889', 'n911', 'n934']\n",
      "['n137', 'n152', 'n186', 'n212', 'n268', 'n330', 'n348', 'n35', 'n528', 'n536', 'n574', 'n575', 'n598', 'n64', 'n675', 'n694', 'n725', 'n739', 'n754', 'n830', 'n898', 'n900', 'n959']\n",
      "['n107', 'n188', 'n191', 'n194', 'n246', 'n285', 'n300', 'n4', 'n427', 'n439', 'n442', 'n45', 'n558', 'n559', 'n588', 'n599', 'n625', 'n75', 'n842', 'n855', 'n915', 'n958', 'n977']\n",
      "['n17', 'n201', 'n229', 'n243', 'n25', 'n331', 'n428', 'n473', 'n513', 'n551', 'n63', 'n653', 'n655', 'n663', 'n669', 'n772', 'n777', 'n862', 'n870', 'n916', 'n948', 'n962', 'n988']\n",
      "['n121', 'n142', 'n227', 'n228', 'n252', 'n278', 'n28', 'n378', 'n422', 'n429', 'n471', 'n503', 'n505', 'n521', 'n526', 'n581', 'n651', 'n673', 'n684', 'n685', 'n691', 'n851', 'n947', 'n957', 'n986']\n",
      "['n118', 'n124', 'n232', 'n251', 'n383', 'n476', 'n514', 'n577', 'n60', 'n624', 'n630', 'n679', 'n70', 'n702', 'n712', 'n785', 'n787', 'n792', 'n807', 'n811', 'n814', 'n825', 'n846', 'n893', 'n90', 'n908', 'n96', 'n984']\n",
      "['n104', 'n119', 'n173', 'n233', 'n316', 'n34', 'n434', 'n461', 'n520', 'n537', 'n546', 'n576', 'n585', 'n616', 'n67', 'n683', 'n729', 'n76', 'n795', 'n997']\n",
      "['n153', 'n179', 'n225', 'n265', 'n339', 'n365', 'n371', 'n397', 'n465', 'n472', 'n512', 'n523', 'n6', 'n626', 'n687', 'n690', 'n737', 'n762', 'n808', 'n815', 'n821', 'n860', 'n909', 'n938', 'n945']\n",
      "['n112', 'n144', 'n16', 'n310', 'n311', 'n338', 'n340', 'n343', 'n367', 'n37', 'n424', 'n455', 'n676', 'n713', 'n717', 'n782', 'n796', 'n829', 'n857', 'n86', 'n871', 'n879', 'n89', 'n890', 'n953', 'n987']\n",
      "['n117', 'n140', 'n256', 'n304', 'n341', 'n345', 'n49', 'n529', 'n569', 'n597', 'n628', 'n629', 'n701', 'n736', 'n826', 'n840', 'n868', 'n884', 'n969', 'n983']\n",
      "['n101', 'n136', 'n149', 'n185', 'n238', 'n247', 'n266', 'n361', 'n431', 'n451', 'n477', 'n595', 'n665', 'n689', 'n783', 'n79', 'n8', 'n804', 'n854', 'n937', 'n946', 'n956']\n",
      "['n128', 'n217', 'n303', 'n319', 'n326', 'n333', 'n412', 'n42', 'n485', 'n568', 'n633', 'n659', 'n72', 'n740', 'n749', 'n761', 'n77', 'n843', 'n845', 'n866', 'n874', 'n880', 'n933', 'n94', 'n998']\n",
      "['n139', 'n14', 'n181', 'n254', 'n276', 'n30', 'n33', 'n47', 'n553', 'n584', 'n600', 'n641', 'n643', 'n648', 'n708', 'n714', 'n769', 'n784', 'n852', 'n876', 'n894', 'n919']\n",
      "['n10', 'n108', 'n189', 'n244', 'n259', 'n271', 'n352', 'n369', 'n377', 'n381', 'n395', 'n480', 'n572', 'n59', 'n632', 'n678', 'n703', 'n705', 'n81', 'n824', 'n832', 'n834', 'n899', 'n907', 'n943']\n",
      "['n147', 'n211', 'n236', 'n273', 'n29', 'n292', 'n334', 'n382', 'n433', 'n46', 'n460', 'n464', 'n469', 'n495', 'n52', 'n566', 'n608', 'n627', 'n638', 'n719', 'n793', 'n820', 'n827', 'n964', 'n993']\n",
      "['n102', 'n141', 'n163', 'n235', 'n314', 'n359', 'n362', 'n415', 'n432', 'n470', 'n490', 'n531', 'n543', 'n554', 'n565', 'n567', 'n711', 'n823', 'n903', 'n913', 'n924', 'n931', 'n972']\n",
      "['n13', 'n288', 'n306', 'n408', 'n409', 'n410', 'n430', 'n453', 'n463', 'n475', 'n510', 'n615', 'n619', 'n668', 'n738', 'n745', 'n751', 'n775', 'n791', 'n812', 'n865', 'n897', 'n902', 'n925', 'n976']\n",
      "['n111', 'n132', 'n216', 'n223', 'n26', 'n269', 'n281', 'n308', 'n347', 'n360', 'n372', 'n379', 'n438', 'n443', 'n454', 'n501', 'n62', 'n647', 'n68', 'n682', 'n755', 'n778', 'n816', 'n861', 'n895', 'n901', 'n92', 'n968', 'n991']\n",
      "['n143', 'n164', 'n165', 'n21', 'n321', 'n325', 'n405', 'n437', 'n458', 'n487', 'n500', 'n53', 'n534', 'n538', 'n552', 'n621', 'n652', 'n654', 'n666', 'n674', 'n741', 'n786', 'n80', 'n835', 'n863', 'n869', 'n873', 'n881', 'n999']\n",
      "['n166', 'n19', 'n204', 'n213', 'n309', 'n355', 'n376', 'n406', 'n419', 'n447', 'n48', 'n518', 'n539', 'n540', 'n613', 'n677', 'n757', 'n773', 'n850', 'n891', 'n906', 'n980']\n",
      "---------------------------------------\n"
     ]
    }
   ],
   "source": [
    "n_asynfluid_ab = []\n",
    "abvals = [11, 16, 63, 42]\n",
    "for i in range(len(graphs)):\n",
    "    n_ab = list(asyn_fluidc(nx.DiGraph.to_undirected(graphs[i]), abvals[i]))\n",
    "    print(\"Number of communities found in %s: %s\"% (gnames[i], len(n_ab)))\n",
    "    for j in n_ab:\n",
    "        print(sorted(j))\n",
    "    n_asynfluid_ab.append(n_ab)\n",
    "    print(sprtr)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Number of communities found in test75: 5\n",
      "[['n18', 'n46', 'n44', 'n19', 'n14', 'n59', 'n38', 'n24', 'n40', 'n71', 'n0', 'n6', 'n41', 'n55', 'n61', 'n22', 'n3', 'n11', 'n34', 'n1', 'n33', 'n52', 'n39', 'n21', 'n26', 'n13', 'n42', 'n74', 'n51', 'n8', 'n62', 'n70', 'n69', 'n43', 'n64', 'n67', 'n50', 'n15', 'n54', 'n17', 'n58', 'n9', 'n25', 'n65', 'n29', 'n28', 'n66', 'n32', 'n73', 'n57', 'n56', 'n68', 'n49', 'n35', 'n27', 'n31', 'n63', 'n47', 'n72', 'n60', 'n4', 'n37', 'n48', 'n36', 'n45', 'n16', 'n53'], ['n61', 'n71', 'n7'], ['n53', 'n34', 'n54'], ['n2', 'n39', 'n30'], ['n48', 'n23', 'n44']]\n",
      "---------------------------------------\n",
      "Number of communities found in test100: 2\n",
      "[['n18', 'n33', 'n21', 'n7', 'n40', 'n96', 'n87'], ['n5', 'n14', 'n59', 'n24', 'n91', 'n96', 'n3', 'n6', 'n0', 'n41', 'n55', 'n93', 'n48', 'n11', 'n34', 'n10', 'n1', 'n13', 'n26', 'n84', 'n51', 'n12', 'n8', 'n62', 'n20', 'n80', 'n50', 'n15', 'n89', 'n99', 'n25', 'n95', 'n28', 'n66', 'n32', 'n73', 'n57', 'n35', 'n94', 'n63', 'n78', 'n60', 'n72', 'n4', 'n90', 'n36', 'n45', 'n47', 'n30', 'n18', 'n46', 'n76', 'n19', 'n44', 'n79', 'n38', 'n85', 'n75', 'n71', 'n61', 'n22', 'n52', 'n39', 'n21', 'n42', 'n23', 'n74', 'n69', 'n70', 'n83', 'n43', 'n77', 'n97', 'n64', 'n67', 'n92', 'n82', 'n54', 'n17', 'n58', 'n9', 'n65', 'n29', 'n87', 'n56', 'n68', 'n49', 'n27', 'n31', 'n86', 'n98', 'n2', 'n37', 'n81', 'n88', 'n16', 'n53']]\n",
      "---------------------------------------\n",
      "Number of communities found in test400: 4\n",
      "[['n357', 'n59', 'n140', 'n274', 'n229', 'n96', 'n176', 'n367', 'n290', 'n93', 'n319', 'n219', 'n266', 'n26', 'n283', 'n343', 'n388', 'n197', 'n105', 'n360', 'n80', 'n182', 'n104', 'n381', 'n384', 'n28', 'n66', 'n247', 'n237', 'n73', 'n35', 'n340', 'n359', 'n78', 'n181', 'n291', 'n375', 'n200', 'n47', 'n30', 'n19', 'n214', 'n374', 'n119', 'n85', 'n346', 'n348', 'n75', 'n71', 'n335', 'n231', 'n151', 'n39', 'n394', 'n193', 'n69', 'n391', 'n164', 'n77', 'n152', 'n286', 'n67', 'n245', 'n163', 'n54', 'n82', 'n107', 'n58', 'n169', 'n166', 'n132', 'n204', 'n68', 'n49', 'n147', 'n308', 'n98', 'n317', 'n2', 'n124', 'n88', 'n313', 'n123', 'n161', 'n383', 'n221', 'n91', 'n387', 'n316', 'n289', 'n156', 'n3', 'n0', 'n399', 'n267', 'n255', 'n397', 'n273', 'n272', 'n34', 'n349', 'n180', 'n121', 'n144', 'n13', 'n148', 'n136', 'n141', 'n12', 'n8', 'n167', 'n354', 'n295', 'n142', 'n133', 'n108', 'n337', 'n195', 'n232', 'n270', 'n261', 'n298', 'n279', 'n379', 'n284', 'n57', 'n244', 'n206', 'n127', 'n280', 'n72', 'n243', 'n4', 'n45', 'n287', 'n288', 'n216', 'n230', 'n135', 'n38', 'n158', 'n324', 'n294', 'n307', 'n339', 'n368', 'n183', 'n81', 'n205', 'n110', 'n52', 'n21', 'n162', 'n42', 'n305', 'n351', 'n131', 'n361', 'n83', 'n301', 'n202', 'n154', 'n392', 'n159', 'n7', 'n353', 'n373', 'n171', 'n293', 'n150', 'n29', 'n209', 'n327', 'n101', 'n364', 'n134', 'n271', 'n333', 'n37', 'n86', 'n217', 'n302', 'n89', 'n120', 'n323', 'n252', 'n5', 'n16', 'n314', 'n146', 'n186', 'n212', 'n194', 'n184', 'n220', 'n376', 'n224', 'n137', 'n126', 'n6', 'n41', 'n249', 'n112', 'n10', 'n1', 'n187', 'n185', 'n396', 'n299', 'n51', 'n84', 'n228', 'n332', 'n62', 'n223', 'n235', 'n207', 'n129', 'n138', 'n277', 'n239', 'n170', 'n344', 'n355', 'n25', 'n331', 'n233', 'n371', 'n341', 'n385', 'n393', 'n390', 'n94', 'n338', 'n128', 'n60', 'n321', 'n292', 'n113', 'n125', 'n46', 'n227', 'n116', 'n362', 'n328', 'n253', 'n248', 'n363', 'n153', 'n218', 'n61', 'n208', 'n122', 'n109', 'n33', 'n23', 'n74', 'n115', 'n380', 'n234', 'n240', 'n174', 'n260', 'n190', 'n285', 'n281', 'n139', 'n117', 'n311', 'n92', 'n17', 'n9', 'n179', 'n325', 'n251', 'n111', 'n370', 'n87', 'n213', 'n31', 'n282', 'n145', 'n365', 'n300', 'n241', 'n242', 'n211', 'n210', 'n203', 'n53', 'n130', 'n347', 'n14', 'n320', 'n24', 'n191', 'n175', 'n198', 'n40', 'n55', 'n310', 'n11', 'n48', 'n118', 'n306', 'n395', 'n322', 'n168', 'n318', 'n312', 'n303', 'n268', 'n236', 'n149', 'n297', 'n226', 'n20', 'n352', 'n398', 'n262', 'n309', 'n15', 'n165', 'n296', 'n50', 'n276', 'n257', 'n269', 'n99', 'n350', 'n192', 'n114', 'n95', 'n389', 'n32', 'n378', 'n160', 'n143', 'n103', 'n386', 'n345', 'n304', 'n356', 'n188', 'n63', 'n342', 'n330', 'n254', 'n326', 'n90', 'n196', 'n199', 'n36', 'n315', 'n258', 'n358', 'n106', 'n18', 'n76', 'n44', 'n79', 'n222', 'n178', 'n369', 'n215', 'n372', 'n250', 'n172', 'n102', 'n100', 'n225', 'n22', 'n377', 'n336', 'n259', 'n189', 'n157', 'n173', 'n177', 'n278', 'n334', 'n70', 'n201', 'n246', 'n43', 'n97', 'n64', 'n265', 'n275', 'n155', 'n65', 'n256', 'n329', 'n366', 'n264', 'n56', 'n238', 'n27', 'n382', 'n263'], ['n284', 'n171', 'n117', 'n134', 'n343'], ['n300', 'n296', 'n166'], ['n341', 'n33', 'n273']]\n",
      "---------------------------------------\n",
      "Number of communities found in test1000: 257\n",
      "[['n144', 'n717', 'n455'], ['n669', 'n676', 'n972', 'n655', 'n916', 'n605', 'n988', 'n551', 'n590', 'n473', 'n83', 'n201', 'n528', 'n567'], ['n551', 'n384', 'n919'], ['n696', 'n374', 'n748', 'n140'], ['n274', 'n658', 'n699'], ['n274', 'n530', 'n125'], ['n958', 'n707', 'n221', 'n474', 'n942'], ['n295', 'n220', 'n707'], ['n332', 'n146', 'n872', 'n176'], ['n958', 'n107', 'n964', 'n427', 'n930', 'n401', 'n855', 'n842', 'n949', 'n936', 'n965', 'n933', 'n305', 'n699', 'n625', 'n977', 'n726', 'n45', 'n798'], ['n31', 'n93', 'n99'], ['n261', 'n93', 'n743'], ['n857', 'n832', 'n480', 'n363', 'n782', 'n572', 'n367'], ['n831', 'n792', 'n785', 'n313', 'n388', 'n962', 'n856', 'n126', 'n886', 'n514'], ['n948', 'n229', 'n663', 'n886', 'n962'], ['n266', 'n426', 'n76', 'n689', 'n946', 'n700', 'n680', 'n783', 'n956', 'n929', 'n867', 'n804', 'n55', 'n302', 'n183'], ['n569', 'n462', 'n729', 'n664', 'n847', 'n335', 'n341', 'n580', 'n57', 'n747', 'n614', 'n532', 'n944', 'n912', 'n805', 'n723', 'n790', 'n667', 'n488'], ['n878', 'n639', 'n982', 'n928', 'n9', 'n888', 'n586', 'n141', 'n237', 'n543'], ['n161', 'n950', 'n734', 'n688', 'n87', 'n859', 'n750', 'n697', 'n922', 'n157', 'n940', 'n765', 'n78', 'n610', 'n531', 'n226', 'n277'], ['n555', 'n889', 'n823', 'n373', 'n135', 'n506', 'n813', 'n844', 'n731', 'n635', 'n180', 'n421', 'n833', 'n591', 'n973', 'n468', 'n115', 'n817', 'n759', 'n234', 'n911', 'n849', 'n170', 'n403'], ['n283', 'n88', 'n636'], ['n33', 'n584', 'n852', 'n74', 'n643', 'n876', 'n529', 'n648'], ['n718', 'n828', 'n348', 'n137', 'n693', 'n103', 'n35', 'n885', 'n900', 'n675', 'n992', 'n917', 'n483', 'n145', 'n533', 'n830', 'n905', 'n482', 'n637'], ['n978', 'n690', 'n18', 'n808', 'n465', 'n945', 'n523', 'n821', 'n737', 'n938', 'n371', 'n710', 'n225', 'n762', 'n512', 'n860', 'n396', 'n472', 'n917', 'n909', 'n265'], ['n80', 'n835', 'n873', 'n786', 'n674', 'n746', 'n881', 'n500', 'n405'], ['n522', 'n386', 'n810', 'n167', 'n525', 'n981', 'n824', 'n892'], ['n862', 'n361', 'n867', 'n804', 'n595', 'n937', 'n524'], ['n728', 'n519', 'n804'], ['n114', 'n151', 'n874', 'n710', 'n933'], ['n687', 'n6', 'n710'], ['n128', 'n42', 'n412'], ['n124', 'n121', 'n624'], ['n889', 'n106', 'n115'], ['n557', 'n742', 'n934', 'n779', 'n448', 'n926', 'n11'], ['n882', 'n640', 'n383', 'n934', 'n838', 'n983', 'n498', 'n499', 'n827', 'n742', 'n349', 'n390', 'n636', 'n817', 'n12', 'n174'], ['n966', 'n932', 'n934', 'n838', 'n7', 'n498', 'n926', 'n289', 'n97'], ['n808', 'n767', 'n460', 'n469', 'n566', 'n236', 'n993', 'n820', 'n827', 'n273'], ['n281', 'n620', 'n918', 'n232', 'n755', 'n182', 'n760', 'n990', 'n908', 'n930', 'n967', 'n864', 'n87', 'n279', 'n454', 'n841', 'n984', 'n763', 'n868', 'n901', 'n732', 'n895'], ['n46', 'n470', 'n823', 'n362', 'n711', 'n415', 'n554', 'n516', 'n953', 'n428', 'n903', 'n160', 'n931', 'n915', 'n385', 'n660', 'n971', 'n490', 'n810', 'n913', 'n432', 'n797', 'n400', 'n653', 'n593', 'n924', 'n531', 'n246', 'n775', 'n955', 'n443', 'n559'], ['n789', 'n3', 'n428'], ['n104', 'n119', 'n520'], ['n752', 'n420', 'n286'], ['n275', 'n573', 'n253', 'n883'], ['n109', 'n952', 'n527', 'n921', 'n795', 'n413', 'n985', 'n366', 'n446'], ['n795', 'n626', 'n336', 'n440'], ['n745', 'n955', 'n775', 'n173', 'n619'], ['n720', 'n768', 'n66'], ['n645', 'n822', 'n148', 'n617', 'n241', 'n631', 'n547', 'n242', 'n715', 'n564', 'n442', 'n154'], ['n843', 'n874', 'n94'], ['n489', 'n956', 'n247'], ['n79', 'n247', 'n883'], ['n799', 'n592', 'n486'], ['n73', 'n774', 'n692', 'n815'], ['n5', 'n681', 'n652', 'n780', 'n408', 'n791', 'n375', 'n853'], ['n436', 'n681', 'n450'], ['n725', 'n574', 'n739'], ['n956', 'n574', 'n774'], ['n574', 'n195', 'n536'], ['n654', 'n869', 'n392', 'n165'], ['n858', 'n726', 'n939', 'n320'], ['n939', 'n571', 'n930'], ['n939', 'n699', 'n861'], ['n714', 'n708', 'n696', 'n47'], ['n733', 'n435', 'n814'], ['n135', 'n884', 'n215'], ['n597', 'n628', 'n884', 'n600'], ['n850', 'n518', 'n19', 'n757', 'n613', 'n623', 'n95', 'n906', 'n204', 'n582', 'n30'], ['n649', 'n643', 'n30'], ['n690', 'n687', 'n759'], ['n142', 'n691', 'n383', 'n957', 'n505'], ['n947', 'n398', 'n691', 'n309', 'n542', 'n493', 'n704', 'n429', 'n339', 'n922', 'n673', 'n634', 'n720', 'n986', 'n581', 'n910', 'n921', 'n768'], ['n691', 'n984', 'n679', 'n228', 'n811', 'n846', 'n807'], ['n958', 'n847', 'n191'], ['n458', 'n487', 'n835', 'n741', 'n881', 'n534'], ['n809', 'n788', 'n353', 'n796', 'n964', 'n584', 'n464', 'n927', 'n787', 'n425', 'n989', 'n963', 'n49', 'n914', 'n560', 'n282', 'n935', 'n638', 'n211', 'n424', 'n736', 'n418'], ['n706', 'n604', 'n607', 'n85', 'n974', 'n806'], ['n20', 'n71', 'n614'], ['n547', 'n71', 'n156'], ['n912', 'n209', 'n335', 'n54', 'n535', 'n91'], ['n306', 'n899', 'n976', 'n834', 'n62', 'n703', 'n907', 'n705', 'n626', 'n189'], ['n899', 'n10', 'n395', 'n244', 'n678', 'n834', 'n943', 'n369', 'n907', 'n705', 'n377', 'n824', 'n259', 'n352'], ['n26', 'n269', 'n991', 'n132', 'n466', 'n682', 'n861'], ['n379', 'n682', 'n816'], ['n875', 'n735', 'n509'], ['n875', 'n728', 'n255'], ['n875', 'n893', 'n527', 'n895'], ['n395', 'n824', 'n632', 'n122', 'n153'], ['n632', 'n800', 'n847'], ['n777', 'n870', 'n772', 'n394', 'n25', 'n589', 'n981'], ['n651', 'n227', 'n685', 'n278'], ['n323', 'n521', 'n526', 'n684', 'n851', 'n685', 'n523', 'n420', 'n20', 'n378'], ['n987', 'n86', 'n713', 'n112'], ['n589', 'n1', 'n262', 'n810', 'n756', 'n23'], ['n508', 'n511', 'n800', 'n658', 'n609', 'n257', 'n995', 'n896', 'n818', 'n781', 'n646', 'n530', 'n649'], ['n951', 'n942', 'n466'], ['n549', 'n445', 'n639', 'n136', 'n184', 'n672', 'n370', 'n391', 'n836', 'n210', 'n942'], ['n404', 'n596', 'n507', 'n885'], ['n918', 'n995', 'n781'], ['n107', 'n709', 'n82'], ['n601', 'n416', 'n366'], ['n264', 'n562', 'n134', 'n169'], ['n923', 'n608', 'n829', 'n453', 'n169'], ['n214', 'n633', 'n558', 'n744', 'n434', 'n716', 'n740', 'n661', 'n662', 'n904', 'n303', 'n979', 'n568', 'n933', 'n131', 'n920', 'n570', 'n333', 'n326', 'n843', 'n998'], ['n661', 'n94', 'n203', 'n904'], ['n407', 'n456', 'n794'], ['n294', 'n456', 'n231'], ['n751', 'n311', 'n615', 'n724', 'n796', 'n953', 'n938', 'n310', 'n668', 'n902', 'n871', 'n410', 'n865', 'n463', 'n409', 'n475', 'n890', 'n424', 'n897'], ['n689', 'n354', 'n902'], ['n902', 'n925', 'n791'], ['n961', 'n187', 'n221', 'n730'], ['n561', 'n961', 'n489', 'n587', 'n695'], ['n961', 'n588', 'n285'], ['n647', 'n68', 'n372'], ['n627', 'n981', 'n147'], ['n98', 'n417', 'n979', 'n904'], ['n60', 'n893', 'n476', 'n702'], ['n733', 'n622', 'n313'], ['n845', 'n866', 'n761', 'n297', 'n923', 'n562', 'n77'], ['n213', 'n419', 'n484'], ['n419', 'n250', 'n980', 'n576', 'n683', 'n120', 'n34'], ['n222', 'n474', 'n617'], ['n784', 'n919', 'n678'], ['n280', 'n316', 'n450'], ['n650', 'n408', 'n996', 'n510', 'n479', 'n603', 'n288'], ['n272', 'n190', 'n774'], ['n179', 'n397', 'n945'], ['n670', 'n546', 'n755', 'n496', 'n556', 'n467', 'n583', 'n974', 'n743'], ['n118', 'n358', 'n825', 'n679', 'n630', 'n985', 'n957', 'n807'], ['n947', 'n812', 'n907'], ['n871', 'n812', 'n43'], ['n812', 'n738', 'n897', 'n197'], ['n717', 'n294', 'n879', 'n108'], ['n130', 'n767', 'n251', 'n494', 'n837', 'n764', 'n524', 'n514'], ['n492', 'n887', 'n877', 'n138', 'n635', 'n402', 'n578'], ['n722', 'n749', 'n578'], ['n660', 'n2', 'n337', 'n826', 'n789'], ['n185', 'n642', 'n457', 'n351', 'n570', 'n484', 'n315', 'n324', 'n606', 'n941', 'n753'], ['n642', 'n402', 'n980'], ['n280', 'n729', 'n773'], ['n677', 'n737', 'n440', 'n509'], ['n665', 'n360', 'n968', 'n318', 'n975', 'n372', 'n4', 'n861', 'n501', 'n379', 'n778'], ['n489', 'n960', 'n836', 'n721'], ['n72', 'n659', 'n843'], ['n72', 'n933', 'n644'], ['n553', 'n641', 'n748', 'n894', 'n628', 'n254', 'n393'], ['n380', 'n813', 'n230'], ['n356', 'n611', 'n158'], ['n948', 'n459', 'n563'], ['n799', 'n971', 'n368'], ['n198', 'n452', 'n430'], ['n119', 'n576', 'n616'], ['n848', 'n110', 'n207', 'n771', 'n994', 'n423'], ['n205', 'n84', 'n347'], ['n548', 'n965', 'n52'], ['n870', 'n810', 'n758', 'n776'], ['n776', 'n932', 'n621'], ['n386', 'n208', 'n776', 'n892'], ['n977', 'n387', 'n51', 'n399', 'n305', 'n949'], ['n127', 'n382', 'n433', 'n815'], ['n157', 'n392', 'n342'], ['n766', 'n650', 'n193', 'n853'], ['n391', 'n954', 'n58', 'n293'], ['n327', 'n887', 'n972'], ['n261', 'n45', 'n806'], ['n217', 'n749', 'n880'], ['n717', 'n987', 'n89'], ['n437', 'n873', 'n325', 'n381', 'n463', 'n666', 'n621'], ['n362', 'n42', 'n314'], ['n862', 'n426', 'n38'], ['n194', 'n439', 'n599'], ['n194', 'n910', 'n629'], ['n656', 'n577', 'n990'], ['n117', 'n840', 'n304', 'n701'], ['n256', 'n321', 'n239', 'n701'], ['n245', 'n757', 'n613', 'n891'], ['n255', 'n727', 'n883'], ['n888', 'n611', 'n768'], ['n406', 'n704', 'n599', 'n634'], ['n670', 'n951', 'n927'], ['n460', 'n238', 'n477', 'n854'], ['n233', 'n802', 'n859', 'n478'], ['n341', 'n798', 'n569'], ['n733', 'n653', 'n974'], ['n651', 'n422', 'n503', 'n471', 'n413'], ['n338', 'n64', 'n970'], ['n969', 'n338', 'n113', 'n152', 'n898'], ['n537', 'n585', 'n997', 'n741'], ['n605', 'n16', 'n919'], ['n769', 'n803', 'n276', 'n786', 'n919', 'n891'], ['n669', 'n312', 'n298', 'n919'], ['n498', 'n946', 'n970'], ['n794', 'n987', 'n946'], ['n218', 'n471', 'n953'], ['n218', 'n545', 'n639'], ['n252', 'n411', 'n193'], ['n411', 'n965', 'n190'], ['n951', 'n611', 'n177'], ['n331', 'n431', 'n845', 'n727'], ['n597', 'n708', 'n393'], ['n174', 'n448', 'n88'], ['n714', 'n600', 'n139'], ['n803', 'n290', 'n260'], ['n544', 'n447', 'n355', 'n105', 'n891', 'n539'], ['n718', 'n693', 'n404'], ['n949', 'n923', 'n903'], ['n70', 'n984', 'n644'], ['n382', 'n829', 'n92'], ['n831', 'n856', 'n814'], ['n213', 'n376', 'n757'], ['n839', 'n127', 'n550'], ['n782', 'n466', 'n975'], ['n995', 'n219', 'n688', 'n709', 'n192'], ['n872', 'n644', 'n168'], ['n977', 'n63', 'n312'], ['n657', 'n719', 'n969', 'n268'], ['n179', 'n860', 'n815'], ['n623', 'n105', 'n515'], ['n166', 'n891', 'n515'], ['n770', 'n50', 'n970', 'n969', 'n364'], ['n819', 'n844', 'n698', 'n700'], ['n656', 'n698', 'n895', 'n150'], ['n449', 'n766', 'n133', 'n369', 'n925'], ['n402', 'n502', 'n315'], ['n178', 'n671', 'n801'], ['n928', 'n58', 'n172'], ['n228', 'n957', 'n121'], ['n789', 'n956', 'n256'], ['n929', 'n481', 'n524'], ['n665', 'n149', 'n595', 'n700'], ['n319', 'n877', 'n880'], ['n61', 'n952', 'n44'], ['n954', 'n164', 'n206', 'n328'], ['n805', 'n814', 'n663'], ['n579', 'n856', 'n720'], ['n959', 'n856', 'n34'], ['n258', 'n887', 'n671', 'n686', 'n359'], ['n839', 'n793', 'n444'], ['n322', 'n159', 'n905'], ['n407', 'n668', 'n424', 'n152'], ['n518', 'n376', 'n166'], ['n365', 'n931', 'n968'], ['n308', 'n92', 'n968', 'n861'], ['n863', 'n943', 'n892'], ['n654', 'n951', 'n19', 'n21', 'n538', 'n59', 'n346', 'n999', 'n863', 'n321', 'n959', 'n552', 'n840'], ['n100', 'n317', 'n95', 'n15', 'n960'], ['n70', 'n383', 'n702'], ['n819', 'n504', 'n491', 'n592', 'n801'], ['n438', 'n755', 'n216'], ['n820', 'n912', 'n761'], ['n862', 'n962', 'n543'], ['n879', 'n324', 'n723'], ['n493', 'n629', 'n301'], ['n571', 'n170', 'n709'], ['n652', 'n552', 'n53'], ['n982', 'n832', 'n481'], ['n971', 'n235', 'n389'], ['n356', 'n143', 'n840']]\n",
      "---------------------------------------\n"
     ]
    }
   ],
   "source": [
    "a_perccliq_3 = []\n",
    "for i in range(len(graphs)):\n",
    "    a_perccliq_gen = get_percolated_cliques(nx.DiGraph.to_undirected(graphs[i]), 3)\n",
    "    a_p = []\n",
    "    for j in a_perccliq_gen:\n",
    "        a_p.append(list(j))\n",
    "    print(\"Number of communities found in %s: %s\"% (gnames[i], len(sorted(a_p))))\n",
    "    print(a_p)\n",
    "    a_perccliq_3.append(a_p)\n",
    "    print(sprtr)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Number of communities found in test75: 7\n",
      "[['n65', 'n64', 'n38', 'n52'], ['n73', 'n57', 'n68', 'n25', 'n72', 'n60', 'n29', 'n71', 'n37', 'n47'], ['n31', 'n70', 'n71', 'n6'], ['n73', 'n67', 'n33', 'n1', 'n50', 'n63', 'n59', 'n74', 'n66', 'n64'], ['n46', 'n59', 'n74', 'n56'], ['n56', 'n44', 'n49', 'n42', 'n63', 'n74', 'n51', 'n62', 'n69', 'n70', 'n61', 'n64'], ['n67', 'n58', 'n66', 'n41']]\n",
      "---------------------------------------\n",
      "Number of communities found in test100: 5\n",
      "[['n46', 'n76', 'n19', 'n79', 'n14', 'n59', 'n38', 'n85', 'n91', 'n24', 'n75', 'n96', 'n0', 'n71', 'n55', 'n61', 'n93', 'n48', 'n34', 'n52', 'n26', 'n84', 'n53', 'n74', 'n51', 'n62', 'n70', 'n83', 'n43', 'n77', 'n97', 'n64', 'n67', 'n92', 'n15', 'n82', 'n54', 'n50', 'n58', 'n99', 'n65', 'n95', 'n66', 'n87', 'n73', 'n57', 'n68', 'n49', 'n94', 'n35', 'n27', 'n63', 'n47', 'n86', 'n78', 'n72', 'n98', 'n60', 'n90', 'n81', 'n45', 'n88', 'n16', 'n89'], ['n55', 'n69', 'n23', 'n44'], ['n80', 'n49', 'n27', 'n59', 'n74', 'n51', 'n20'], ['n40', 'n96', 'n33', 'n7'], ['n8', 'n97', 'n39', 'n94']]\n",
      "---------------------------------------\n",
      "Number of communities found in test400: 27\n",
      "[['n383', 'n357', 'n376', 'n387', 'n399', 'n367', 'n397', 'n118', 'n10', 'n219', 'n349', 'n395', 'n180', 'n319', 'n322', 'n396', 'n388', 'n354', 'n170', 'n197', 'n398', 'n360', 'n350', 'n192', 'n381', 'n371', 'n384', 'n389', 'n114', 'n32', 'n378', 'n379', 'n385', 'n95', 'n279', 'n393', 'n386', 'n390', 'n345', 'n356', 'n60', 'n196', 'n375', 'n362', 'n374', 'n230', 'n135', 'n85', 'n346', 'n372', 'n71', 'n335', 'n377', 'n368', 'n231', 'n205', 'n394', 'n177', 'n351', 'n193', 'n305', 'n380', 'n361', 'n391', 'n301', 'n202', 'n246', 'n117', 'n392', 'n163', 'n353', 'n107', 'n373', 'n169', 'n370', 'n166', 'n382', 'n101', 'n364', 'n86', 'n313'], ['n252', 'n146', 'n358', 'n357', 'n347', 'n212', 'n328', 'n253', 'n222', 'n119', 'n369', 'n320', 'n158', 'n59', 'n374', 'n324', 'n267', 'n336', 'n377', 'n349', 'n228', 'n285', 'n281', 'n275', 'n245', 'n353', 'n276', 'n256', 'n304', 'n359', 'n254', 'n210', 'n321', 'n16'], ['n18', 'n194', 'n184', 'n140', 'n153', 'n100', 'n40', 'n162', 'n62', 'n69', 'n129', 'n164', 'n15', 'n54', 'n9', 'n155', 'n66', 'n56', 'n127', 'n35', 'n78', 'n45', 'n141'], ['n106', 'n46', 'n216', 'n230', 'n172', 'n274', 'n6', 'n11', 'n189', 'n109', 'n110', 'n173', 'n131', 'n74', 'n51', 'n12', 'n207', 'n159', 'n165', 'n200', 'n179', 'n28', 'n270', 'n103', 'n47'], ['n258', 'n19', 'n229', 'n55', 'n290', 'n287', 'n157', 'n305', 'n278', 'n115', 'n234', 'n226', 'n239', 'n142', 'n154', 'n286', 'n313', 'n209', 'n279', 'n237', 'n284', 'n238', 'n145', 'n181', 'n203', 'n315', 'n123'], ['n161', 'n76', 'n44', 'n79', 'n102', 'n75', 'n96', 'n26', 'n8', 'n64', 'n80', 'n89', 'n29', 'n132', 'n73', 'n57', 'n68', 'n49', 'n98', 'n4', 'n36', 'n53'], ['n178', 'n14', 'n175', 'n218', 'n137', 'n156', 'n176', 'n187', 'n168', 'n70', 'n152', 'n17', 'n58', 'n171', 'n182', 'n150', 'n111', 'n160', 'n72', 'n128', 'n90', 'n210', 'n217', 'n125'], ['n5', 'n0', 'n3', 'n41', 'n93', 'n112', 'n34', 'n21', 'n144', 'n42', 'n23', 'n43', 'n77', 'n20', 'n67', 'n92', 'n107', 'n104', 'n87', 'n94', 'n27', 'n37'], ['n331', 'n379', 'n290', 'n304'], ['n116', 'n214', 'n328', 'n346', 'n218', 'n335', 'n310', 'n339', 'n319', 'n167', 'n83', 'n240', 'n108', 'n352', 'n105', 'n262', 'n337', 'n195', 'n353', 'n251', 'n261', 'n327', 'n204', 'n340', 'n338', 'n282', 'n365', 'n317', 'n2', 'n254', 'n48'], ['n374', 'n219', 'n397', 'n285'], ['n258', 'n215', 'n91', 'n289', 'n126', 'n307', 'n61', 'n1', 'n287', 'n266', 'n151', 'n121', 'n299', 'n297', 'n138', 'n260', 'n139', 'n288', 'n392', 'n311', 'n309', 'n7', 'n247', 'n213', 'n244', 'n280', 'n31', 'n326', 'n242', 'n302', 'n120'], ['n266', 'n128', 'n330', 'n237', 'n366'], ['n358', 'n214', 'n283', 'n351', 'n310', 'n260'], ['n227', 'n38', 'n191', 'n225', 'n183', 'n205', 'n52', 'n185', 'n39', 'n13', 'n268', 'n283', 'n223', 'n246', 'n174', 'n190', 'n269', 'n25', 'n65', 'n143', 'n206', 'n188', 'n147', 'n308', 'n124', 'n88'], ['n383', 'n186', 'n372', 'n250', 'n348', 'n198', 'n22', 'n249', 'n122', 'n259', 'n306', 'n397', 'n322', 'n149', 'n312', 'n136', 'n236', 'n394', 'n343', 'n84', 'n334', 'n332', 'n295', 'n301', 'n67', 'n344', 'n325', 'n341', 'n378', 'n366', 'n264', 'n345', 'n300', 'n243', 'n330', 'n199'], ['n306', 'n271', 'n384', 'n368'], ['n113', 'n116', 'n248', 'n24', 'n376', 'n224', 'n255', 'n231', 'n272', 'n33', 'n303', 'n334', 'n201', 'n133', 'n97', 'n309', 'n82', 'n232', 'n257', 'n233', 'n298', 'n134', 'n63', 'n271', 'n241', 'n291', 'n81', 'n263', 'n30'], ['n298', 'n47', 'n370', 'n189'], ['n382', 'n354', 'n18', 'n54'], ['n227', 'n163', 'n169', 'n308'], ['n323', 'n314', 'n130', 'n221', 'n374', 'n220', 'n363', 'n316', 'n294', 'n208', 'n397', 'n273', 'n318', 'n148', 'n295', 'n235', 'n277', 'n265', 'n50', 'n296', 'n355', 'n99', 'n293', 'n331', 'n329', 'n338', 'n342', 'n333', 'n330', 'n211', 'n292'], ['n364', 'n224', 'n250', 'n370', 'n298', 'n249'], ['n362', 'n299', 'n338', 'n363'], ['n380', 'n277', 'n336', 'n215'], ['n251', 'n278', 'n342', 'n387', 'n315'], ['n318', 'n356', 'n173', 'n361', 'n329']]\n",
      "---------------------------------------\n",
      "Number of communities found in test1000: 22\n",
      "[['n831', 'n792', 'n126', 'n886'], ['n643', 'n852', 'n876', 'n648'], ['n525', 'n981', 'n522', 'n892'], ['n940', 'n226', 'n750', 'n78'], ['n706', 'n607', 'n85', 'n806'], ['n990', 'n454', 'n901', 'n620'], ['n918', 'n732', 'n279', 'n864'], ['n796', 'n989', 'n914', 'n49'], ['n796', 'n963', 'n736', 'n49'], ['n947', 'n673', 'n986', 'n581', 'n910', 'n921'], ['n846', 'n984', 'n811', 'n807'], ['n848', 'n110', 'n771', 'n423'], ['n457', 'n570', 'n484', 'n941', 'n753'], ['n482', 'n992', 'n637', 'n718'], ['n873', 'n437', 'n621', 'n666'], ['n87', 'n697', 'n688', 'n950'], ['n406', 'n704', 'n599', 'n634'], ['n526', 'n684', 'n851', 'n378', 'n20'], ['n462', 'n488', 'n790', 'n723'], ['n849', 'n813', 'n635', 'n759'], ['n567', 'n916', 'n988', 'n972'], ['n989', 'n964', 'n560', 'n935', 'n927']]\n",
      "---------------------------------------\n"
     ]
    }
   ],
   "source": [
    "a_perccliq_4 = []\n",
    "for i in range(len(graphs)):\n",
    "    a_perccliq_gen = get_percolated_cliques(nx.DiGraph.to_undirected(graphs[i]), 4)\n",
    "    a_p = []\n",
    "    for j in a_perccliq_gen:\n",
    "        a_p.append(list(j))\n",
    "    print(\"Number of communities found in %s: %s\"% (gnames[i], len(a_p)))\n",
    "    print(a_p)\n",
    "    a_perccliq_4.append(a_p)\n",
    "    print(sprtr)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Number of communities found in test75: 2\n",
      "[[{'n5', 'n18', 'n46', 'n19', 'n44', 'n14', 'n59', 'n38', 'n24', 'n40', 'n71', 'n0', 'n3', 'n41', 'n55', 'n61', 'n22', 'n6', 'n11', 'n34', 'n10', 'n1', 'n33', 'n52', 'n21', 'n42', 'n13', 'n26', 'n23', 'n74', 'n51', 'n12', 'n8', 'n62', 'n69', 'n70', 'n43', 'n20', 'n64', 'n67', 'n50', 'n15', 'n54', 'n7', 'n17', 'n58', 'n9', 'n25', 'n65', 'n29', 'n45', 'n28', 'n66', 'n32', 'n73', 'n57', 'n56', 'n68', 'n49', 'n35', 'n27', 'n31', 'n63', 'n72', 'n60', 'n4', 'n37', 'n48', 'n36', 'n47', 'n16', 'n53'}, {'n2', 'n39', 'n30'}], [{'n5', 'n18', 'n46', 'n19', 'n44', 'n14', 'n59', 'n38', 'n24', 'n40', 'n71', 'n0', 'n3', 'n41', 'n55', 'n61', 'n6', 'n22', 'n11', 'n10', 'n1', 'n33', 'n52', 'n21', 'n42', 'n26', 'n13', 'n74', 'n51', 'n12', 'n8', 'n62', 'n69', 'n70', 'n43', 'n64', 'n67', 'n50', 'n15', 'n7', 'n58', 'n9', 'n25', 'n65', 'n29', 'n28', 'n66', 'n32', 'n73', 'n57', 'n56', 'n68', 'n49', 'n35', 'n27', 'n31', 'n63', 'n47', 'n60', 'n72', 'n4', 'n37', 'n48', 'n36', 'n45', 'n16'}, {'n2', 'n39', 'n30'}, {'n54', 'n17', 'n23', 'n20', 'n53', 'n34'}]]\n",
      "---------------------------------------\n",
      "Number of communities found in test100: 2\n",
      "[[{'n5', 'n59', 'n96', 'n6', 'n41', 'n93', 'n1', 'n10', 'n26', 'n51', 'n84', 'n62', 'n80', 'n25', 'n28', 'n66', 'n73', 'n35', 'n94', 'n78', 'n60', 'n47', 'n30', 'n46', 'n19', 'n85', 'n75', 'n71', 'n61', 'n39', 'n23', 'n74', 'n69', 'n77', 'n67', 'n92', 'n82', 'n54', 'n17', 'n58', 'n9', 'n87', 'n68', 'n49', 'n31', 'n98', 'n2', 'n88', 'n53', 'n14', 'n24', 'n91', 'n0', 'n3', 'n55', 'n11', 'n34', 'n48', 'n13', 'n12', 'n8', 'n20', 'n50', 'n15', 'n99', 'n95', 'n32', 'n57', 'n63', 'n72', 'n4', 'n90', 'n36', 'n45', 'n76', 'n44', 'n79', 'n38', 'n22', 'n52', 'n42', 'n70', 'n83', 'n43', 'n97', 'n64', 'n65', 'n29', 'n56', 'n27', 'n86', 'n37', 'n81', 'n16', 'n89'}, {'n18', 'n33', 'n21', 'n7', 'n40'}], [{'n5', 'n59', 'n96', 'n6', 'n41', 'n93', 'n1', 'n10', 'n26', 'n51', 'n84', 'n62', 'n80', 'n66', 'n73', 'n35', 'n94', 'n78', 'n60', 'n47', 'n30', 'n46', 'n19', 'n85', 'n75', 'n71', 'n61', 'n23', 'n74', 'n69', 'n77', 'n67', 'n92', 'n82', 'n54', 'n17', 'n58', 'n9', 'n87', 'n68', 'n49', 'n31', 'n98', 'n2', 'n88', 'n53', 'n14', 'n24', 'n91', 'n0', 'n3', 'n55', 'n11', 'n34', 'n48', 'n13', 'n12', 'n20', 'n50', 'n15', 'n99', 'n95', 'n32', 'n57', 'n63', 'n72', 'n4', 'n90', 'n36', 'n45', 'n76', 'n44', 'n79', 'n38', 'n22', 'n52', 'n70', 'n83', 'n43', 'n97', 'n64', 'n65', 'n29', 'n56', 'n27', 'n86', 'n37', 'n81', 'n16', 'n89'}, {'n18', 'n33', 'n21', 'n7', 'n40'}, {'n39', 'n42', 'n25', 'n8', 'n28'}]]\n",
      "---------------------------------------\n"
     ]
    },
    {
     "ename": "KeyboardInterrupt",
     "evalue": "",
     "output_type": "error",
     "traceback": [
      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[0;31mKeyboardInterrupt\u001b[0m                         Traceback (most recent call last)",
      "\u001b[0;32m<ipython-input-15-49575700eaa5>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m\u001b[0m\n\u001b[1;32m      4\u001b[0m     \u001b[0mcomp\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mgirvan_newman\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mgraphs\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0mi\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m      5\u001b[0m     \u001b[0mcomms\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;34m[\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m----> 6\u001b[0;31m     \u001b[0;32mfor\u001b[0m \u001b[0mcommunities\u001b[0m \u001b[0;32min\u001b[0m \u001b[0mitertools\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mislice\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mcomp\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mk\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m      7\u001b[0m         \u001b[0mcomms\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mappend\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mlist\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mcommunities\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m      8\u001b[0m     \u001b[0mn_\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mappend\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mcomms\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32m~/miniconda3/lib/python3.7/site-packages/networkx/algorithms/community/centrality.py\u001b[0m in \u001b[0;36mgirvan_newman\u001b[0;34m(G, most_valuable_edge)\u001b[0m\n\u001b[1;32m    152\u001b[0m     \u001b[0mg\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mremove_edges_from\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mnx\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mselfloop_edges\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mg\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    153\u001b[0m     \u001b[0;32mwhile\u001b[0m \u001b[0mg\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mnumber_of_edges\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;34m>\u001b[0m \u001b[0;36m0\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 154\u001b[0;31m         \u001b[0;32myield\u001b[0m \u001b[0m_without_most_central_edges\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mg\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mmost_valuable_edge\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    155\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    156\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32m~/miniconda3/lib/python3.7/site-packages/networkx/algorithms/community/centrality.py\u001b[0m in \u001b[0;36m_without_most_central_edges\u001b[0;34m(G, most_valuable_edge)\u001b[0m\n\u001b[1;32m    171\u001b[0m     \u001b[0mnum_new_components\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0moriginal_num_components\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    172\u001b[0m     \u001b[0;32mwhile\u001b[0m \u001b[0mnum_new_components\u001b[0m \u001b[0;34m<=\u001b[0m \u001b[0moriginal_num_components\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 173\u001b[0;31m         \u001b[0medge\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mmost_valuable_edge\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mG\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    174\u001b[0m         \u001b[0mG\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mremove_edge\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m*\u001b[0m\u001b[0medge\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    175\u001b[0m         \u001b[0mnew_components\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mtuple\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mnx\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mconnected_components\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mG\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32m~/miniconda3/lib/python3.7/site-packages/networkx/algorithms/community/centrality.py\u001b[0m in \u001b[0;36mmost_valuable_edge\u001b[0;34m(G)\u001b[0m\n\u001b[1;32m    144\u001b[0m             \u001b[0;31m# We have guaranteed that the graph is non-empty, so this\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    145\u001b[0m             \u001b[0;31m# dictionary will never be empty.\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 146\u001b[0;31m             \u001b[0mbetweenness\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mnx\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0medge_betweenness_centrality\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mG\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    147\u001b[0m             \u001b[0;32mreturn\u001b[0m \u001b[0mmax\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mbetweenness\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mkey\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mbetweenness\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mget\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    148\u001b[0m     \u001b[0;31m# The copy of G here must include the edge weight data.\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32m</home/slm/miniconda3/lib/python3.7/site-packages/decorator.py:decorator-gen-231>\u001b[0m in \u001b[0;36medge_betweenness_centrality\u001b[0;34m(G, k, normalized, weight, seed)\u001b[0m\n",
      "\u001b[0;32m~/miniconda3/lib/python3.7/site-packages/networkx/utils/decorators.py\u001b[0m in \u001b[0;36m_random_state\u001b[0;34m(func, *args, **kwargs)\u001b[0m\n\u001b[1;32m    462\u001b[0m         \u001b[0mnew_args\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mlist\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0margs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    463\u001b[0m         \u001b[0mnew_args\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0mrandom_state_index\u001b[0m\u001b[0;34m]\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mrandom_state\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 464\u001b[0;31m         \u001b[0;32mreturn\u001b[0m \u001b[0mfunc\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m*\u001b[0m\u001b[0mnew_args\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    465\u001b[0m     \u001b[0;32mreturn\u001b[0m \u001b[0m_random_state\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32m~/miniconda3/lib/python3.7/site-packages/networkx/algorithms/centrality/betweenness.py\u001b[0m in \u001b[0;36medge_betweenness_centrality\u001b[0;34m(G, k, normalized, weight, seed)\u001b[0m\n\u001b[1;32m    209\u001b[0m         \u001b[0;31m# single source shortest paths\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    210\u001b[0m         \u001b[0;32mif\u001b[0m \u001b[0mweight\u001b[0m \u001b[0;32mis\u001b[0m \u001b[0;32mNone\u001b[0m\u001b[0;34m:\u001b[0m  \u001b[0;31m# use BFS\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 211\u001b[0;31m             \u001b[0mS\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mP\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0msigma\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0m_single_source_shortest_path_basic\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mG\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0ms\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    212\u001b[0m         \u001b[0;32melse\u001b[0m\u001b[0;34m:\u001b[0m  \u001b[0;31m# use Dijkstra's algorithm\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    213\u001b[0m             \u001b[0mS\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mP\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0msigma\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0m_single_source_dijkstra_path_basic\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mG\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0ms\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mweight\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32m~/miniconda3/lib/python3.7/site-packages/networkx/algorithms/centrality/betweenness.py\u001b[0m in \u001b[0;36m_single_source_shortest_path_basic\u001b[0;34m(G, s)\u001b[0m\n\u001b[1;32m    245\u001b[0m         \u001b[0mDv\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mD\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0mv\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    246\u001b[0m         \u001b[0msigmav\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0msigma\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0mv\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 247\u001b[0;31m         \u001b[0;32mfor\u001b[0m \u001b[0mw\u001b[0m \u001b[0;32min\u001b[0m \u001b[0mG\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0mv\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    248\u001b[0m             \u001b[0;32mif\u001b[0m \u001b[0mw\u001b[0m \u001b[0;32mnot\u001b[0m \u001b[0;32min\u001b[0m \u001b[0mD\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    249\u001b[0m                 \u001b[0mQ\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mappend\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mw\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32m~/miniconda3/lib/python3.7/site-packages/networkx/classes/graph.py\u001b[0m in \u001b[0;36m__getitem__\u001b[0;34m(self, n)\u001b[0m\n\u001b[1;32m    470\u001b[0m         \u001b[0mAtlasView\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m{\u001b[0m\u001b[0;36m1\u001b[0m\u001b[0;34m:\u001b[0m \u001b[0;34m{\u001b[0m\u001b[0;34m}\u001b[0m\u001b[0;34m}\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    471\u001b[0m         \"\"\"\n\u001b[0;32m--> 472\u001b[0;31m         \u001b[0;32mreturn\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0madj\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0mn\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    473\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    474\u001b[0m     \u001b[0;32mdef\u001b[0m \u001b[0madd_node\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mnode_for_adding\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0mattr\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32m~/miniconda3/lib/python3.7/site-packages/networkx/classes/graph.py\u001b[0m in \u001b[0;36madj\u001b[0;34m(self)\u001b[0m\n\u001b[1;32m    348\u001b[0m         \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mgraph\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mupdate\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mattr\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    349\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 350\u001b[0;31m     \u001b[0;34m@\u001b[0m\u001b[0mproperty\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    351\u001b[0m     \u001b[0;32mdef\u001b[0m \u001b[0madj\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    352\u001b[0m         \"\"\"Graph adjacency object holding the neighbors of each node.\n",
      "\u001b[0;31mKeyboardInterrupt\u001b[0m: "
     ]
    }
   ],
   "source": [
    "n_ = []\n",
    "for i in range(len(graphs)):\n",
    "    k = 2\n",
    "    comp = girvan_newman(graphs[i])\n",
    "    comms = []\n",
    "    for communities in itertools.islice(comp, k):\n",
    "        comms.append(list(communities))\n",
    "    n_.append(comms)\n",
    "    print(\"Number of communities found in %s: %s\"% (gnames[i], len(comms)))\n",
    "    print(comms)\n",
    "    print(sprtr)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/home/slm/.local/lib/python3.7/site-packages/igraph/__init__.py:2223: RuntimeWarning: Could not add vertex ids, there is already an 'id' vertex attribute at foreign-graphml.c:443\n",
      "  return reader(f, *args, **kwds)\n"
     ]
    }
   ],
   "source": [
    "g75 = ig.read(\"Graphml_Networks/test75.graphml\", format=\"graphml\")\n",
    "g100 = ig.read(\"Graphml_Networks/test100.graphml\", format=\"graphml\")\n",
    "g400 = ig.read(\"Graphml_Networks/test400.graphml\", format=\"graphml\")\n",
    "g1000 = ig.read(\"Graphml_Networks/test1000.graphml\", format=\"graphml\")\n",
    "gs = [g75, g100, g400, g1000]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'Converting id attribute from \"n0\" to \"0\"\\nThis is due to gml formatting\\n'"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "\"\"\"Converting id attribute from \"n0\" to \"0\"\n",
    "This is due to gml formatting\n",
    "\"\"\"\n",
    "#for i in range(len(gs)):\n",
    "#    for j in range(len(gs[i].vs)):\n",
    "        #del gs[i].vs[j][\"name\"]\n",
    "        #gs[i].vs[j][\"id\"] = gs[i].vs[j][\"id\"][1:]\n",
    "        #del gs[i].vs[j][\"name\"]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [],
   "source": [
    "for i in range(len(gs)):\n",
    "    attributer(gs[i], n_kcliq_3[i], \"nkcliq3\")\n",
    "    attributer(gs[i], n_kcliq_4[i], \"nkcliq4\")\n",
    "    attributer(gs[i], n_fastgreedy[i], \"nfastgreedy\")\n",
    "    attributer(gs[i], n_labelprop[i], \"nlabelprop\")\n",
    "    attributer(gs[i], n_asynfluid_a[i], \"nasynfluida\")\n",
    "    attributer(gs[i], n_asynfluid_b[i], \"nasynfluidb\")\n",
    "    attributer(gs[i], n_asynfluid_ab[i], \"nasynfluidab\")\n",
    "    attributer(gs[i], a_perccliq_3[i], \"aperccliq3\")\n",
    "    attributer(gs[i], a_perccliq_4[i], \"aperccliq4\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "igraph.Vertex(<igraph.Graph object at 0x7f42e2dd8408>, 7, {'name': '8', 'Cluster_ID_A': 1.0, 'Cluster_ID_B': 6.0, 'comm_greedy': 2.0, 'comm_infomap': 1.0, 'comm_labelprop': 1.0, 'comm_louvain': 6.0, 'comm_spinglass': 6.0, 'comm_walktrap': 2.0, 'id': 'n7', 'nkcliq3': 2, 'nkcliq4': nan, 'nfastgreedy': 1, 'nlabelprop': 1, 'nasynfluida': 2, 'nasynfluidb': 7, 'nasynfluidab': 8, 'aperccliq3': 2, 'aperccliq4': nan})\n"
     ]
    }
   ],
   "source": [
    "print(g75.vs[7])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [],
   "source": [
    "g75.write_graphml(\"Graphml_Networks/test75.graphml\")\n",
    "g75.write_gml(\"Graphml_Networks/test75.gml\")\n",
    "g100.write_graphml(\"Graphml_Networks/test100.graphml\")\n",
    "g100.write_gml(\"Graphml_Networks/test100.gml\")\n",
    "g400.write_graphml(\"Graphml_Networks/test400.graphml\")\n",
    "g400.write_gml(\"Graphml_Networks/test400.gml\")\n",
    "g1000.write_graphml(\"Graphml_Networks/test1000.graphml\")\n",
    "g1000.write_gml(\"Graphml_Networks/test1000.gml\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "test75 graph community memberships\n",
      "[2, 3, 1, 1, 1, 1, 3, 1, 3, 2, 2, 1, 1, 3, 2, 2, 1, 3, 2, 1, 3, 3, 2, 3, 3, 1, 1, 3, 1, 1, 1, 3, 3, 3, 1, 1, 2, 3, 1, 1, 3, 2, 2, 2, 2, 2, 2, 1, 1, 2, 3, 2, 3, 3, 2, 2, 2, 1, 2, 3, 2, 1, 3, 3, 3, 2, 3, 3, 1, 2, 2, 1, 1, 3, 2]\n",
      "[8, 3, 6, 7, 3, 2, 7, 6, 1, 1, 4, 7, 6, 1, 6, 6, 6, 2, 3, 6, 8, 7, 1, 5, 7, 1, 4, 5, 1, 1, 5, 7, 7, 2, 8, 5, 4, 1, 3, 5, 2, 2, 6, 4, 5, 4, 6, 1, 5, 7, 6, 6, 3, 8, 8, 3, 6, 1, 2, 6, 1, 6, 6, 6, 3, 3, 2, 2, 1, 6, 7, 7, 1, 1, 6]\n",
      "---------------------------------------\n",
      "test100 graph community memberships\n",
      "[2, 2, 1, 1, 1, 2, 3, 1, 4, 1, 3, 1, 1, 3, 2, 3, 2, 1, 3, 4, 4, 4, 3, 1, 2, 1, 2, 2, 1, 3, 3, 1, 1, 1, 4, 4, 3, 1, 2, 4, 1, 3, 2, 2, 3, 2, 4, 1, 4, 2, 4, 2, 4, 2, 4, 4, 3, 3, 3, 4, 3, 2, 2, 4, 3, 3, 2, 3, 4, 1, 4, 2, 1, 4, 1, 1, 3, 2, 3, 2, 3, 4, 1, 2, 4, 2, 1, 1, 1, 3, 3, 2, 3, 4, 4, 4, 1, 4, 2, 2]\n",
      "[3, 7, 5, 2, 5, 6, 5, 1, 8, 6, 5, 5, 6, 7, 2, 5, 2, 2, 1, 5, 7, 1, 2, 6, 3, 8, 3, 7, 8, 5, 5, 4, 2, 1, 5, 4, 5, 5, 3, 8, 1, 5, 8, 3, 6, 2, 5, 5, 5, 7, 4, 7, 4, 2, 5, 6, 5, 5, 2, 7, 5, 5, 5, 5, 2, 2, 2, 4, 4, 6, 4, 5, 2, 5, 7, 5, 5, 5, 2, 5, 7, 2, 5, 5, 5, 5, 2, 2, 2, 5, 5, 5, 5, 5, 2, 2, 5, 5, 2, 5]\n",
      "---------------------------------------\n",
      "test400 graph community memberships\n",
      "[12, 8, 4, 12, 11, 12, 14, 8, 11, 13, 3, 14, 14, 5, 7, 13, 9, 7, 13, 6, 12, 12, 15, 12, 2, 5, 11, 12, 14, 11, 2, 8, 3, 2, 12, 13, 11, 12, 5, 5, 13, 12, 12, 12, 11, 13, 14, 14, 4, 11, 1, 14, 5, 11, 13, 6, 13, 11, 7, 9, 3, 8, 13, 2, 11, 5, 13, 12, 11, 13, 7, 3, 7, 11, 14, 11, 11, 12, 13, 11, 11, 2, 2, 4, 15, 3, 3, 12, 5, 11, 7, 8, 12, 12, 12, 3, 11, 2, 11, 1, 13, 3, 11, 14, 12, 4, 14, 12, 4, 14, 14, 7, 12, 2, 3, 6, 2, 3, 3, 9, 8, 8, 15, 6, 5, 7, 8, 13, 7, 13, 1, 14, 11, 2, 2, 3, 15, 7, 8, 8, 13, 13, 6, 5, 12, 6, 9, 5, 1, 15, 7, 8, 7, 13, 6, 13, 7, 6, 9, 14, 7, 11, 13, 3, 13, 14, 3, 4, 7, 3, 3, 7, 14, 14, 5, 7, 7, 3, 7, 14, 3, 6, 7, 5, 13, 5, 15, 7, 5, 14, 5, 5, 3, 3, 13, 4, 3, 3, 15, 15, 14, 2, 3, 6, 4, 5, 5, 14, 1, 6, 7, 1, 9, 8, 4, 8, 14, 7, 7, 3, 1, 1, 9, 5, 2, 5, 6, 5, 9, 6, 14, 2, 2, 2, 6, 1, 15, 6, 6, 6, 4, 2, 8, 15, 8, 9, 5, 8, 2, 15, 15, 4, 9, 9, 4, 2, 9, 2, 6, 15, 8, 4, 4, 2, 15, 1, 8, 9, 5, 5, 14, 2, 2, 1, 14, 9, 9, 1, 6, 6, 8, 9, 4, 5, 6, 9, 6, 6, 8, 8, 6, 2, 1, 1, 1, 1, 1, 8, 2, 8, 15, 15, 8, 2, 9, 6, 15, 8, 5, 2, 4, 8, 15, 6, 1, 6, 1, 4, 1, 4, 9, 9, 15, 1, 9, 15, 8, 4, 4, 1, 1, 1, 15, 1, 15, 4, 9, 4, 4, 4, 4, 15, 1, 15, 15, 10, 10, 9, 15, 9, 10, 10, 4, 4, 10, 1, 10, 9, 9, 9, 10, 10, 10, 1, 10, 4, 15, 10, 10, 9, 10, 10, 15, 10, 10, 10, 10, 10, 10, 10, 10, 10, 10, 10, 10, 10, 10, 10, 10, 10, 10, 10, 10, 10, 10, 10, 10, 10, 10, 10]\n",
      "[38, 40, 48, 18, 2, 22, 23, 16, 19, 26, 8, 24, 12, 5, 4, 37, 1, 47, 13, 20, 30, 15, 42, 2, 16, 38, 20, 19, 31, 30, 10, 1, 47, 23, 5, 8, 30, 36, 25, 13, 39, 16, 26, 22, 1, 30, 31, 46, 11, 14, 25, 28, 5, 35, 13, 1, 33, 3, 34, 16, 20, 28, 44, 42, 39, 33, 45, 16, 23, 46, 46, 32, 17, 43, 43, 22, 34, 2, 15, 20, 1, 35, 25, 28, 47, 20, 44, 15, 7, 31, 27, 1, 31, 45, 17, 3, 48, 6, 24, 12, 21, 34, 48, 33, 39, 8, 18, 21, 10, 29, 13, 20, 36, 26, 18, 47, 34, 41, 42, 15, 43, 36, 20, 23, 21, 13, 39, 6, 24, 22, 45, 19, 11, 6, 41, 3, 7, 27, 45, 11, 27, 42, 7, 2, 41, 20, 17, 1, 39, 24, 9, 2, 10, 5, 48, 38, 44, 19, 39, 19, 8, 4, 35, 14, 15, 6, 16, 44, 32, 14, 34, 41, 29, 37, 36, 18, 42, 3, 43, 17, 19, 3, 25, 39, 29, 6, 48, 2, 12, 46, 44, 28, 32, 36, 20, 29, 18, 42, 20, 6, 39, 19, 45, 34, 26, 21, 23, 29, 12, 16, 28, 19, 31, 12, 4, 47, 26, 32, 20, 9, 9, 10, 9, 8, 46, 9, 18, 14, 29, 37, 12, 27, 22, 36, 37, 28, 22, 24, 39, 45, 40, 35, 40, 8, 17, 1, 13, 16, 6, 46, 46, 35, 34, 9, 33, 15, 39, 7, 26, 15, 4, 6, 15, 3, 2, 19, 24, 11, 30, 3, 3, 12, 6, 23, 1, 32, 8, 47, 35, 18, 43, 8, 40, 4, 41, 9, 11, 26, 7, 16, 5, 10, 34, 38, 34, 22, 16, 15, 46, 38, 16, 18, 26, 6, 5, 44, 12, 28, 14, 40, 4, 7, 25, 13, 7, 35, 9, 34, 37, 21, 25, 36, 21, 9, 33, 2, 26, 2, 8, 37, 24, 5, 39, 9, 35, 27, 47, 15, 38, 39, 15, 23, 35, 41, 33, 22, 15, 43, 22, 45, 32, 4, 34, 8, 13, 1, 37, 12, 4, 28, 28, 37, 38, 38, 46, 2, 24, 19, 12, 8, 46, 21, 21, 21, 9, 43, 6, 8, 22, 5, 47, 27, 13, 18, 12, 44, 27, 35, 27, 27, 44, 19, 26, 45, 20, 45, 44, 9, 18, 3]\n",
      "---------------------------------------\n",
      "test1000 graph community memberships\n",
      "[6, 8, 34, 34, 12, 16, 26, 29, 32, 33, 2, 29, 29, 34, 20, 19, 37, 37, 26, 20, 31, 10, 22, 8, 1, 8, 12, 14, 31, 1, 20, 11, 38, 35, 27, 28, 5, 33, 9, 37, 30, 28, 13, 30, 22, 15, 13, 39, 5, 23, 35, 15, 1, 16, 7, 9, 5, 7, 33, 10, 18, 22, 2, 8, 35, 17, 21, 36, 12, 9, 18, 11, 24, 1, 35, 15, 9, 32, 3, 9, 4, 25, 15, 37, 21, 5, 25, 3, 29, 25, 18, 7, 12, 11, 24, 20, 18, 29, 24, 11, 19, 32, 13, 28, 5, 20, 14, 15, 25, 22, 33, 12, 25, 35, 24, 14, 6, 10, 18, 5, 27, 18, 2, 25, 18, 38, 17, 1, 13, 25, 17, 24, 12, 16, 32, 39, 19, 28, 36, 39, 39, 33, 18, 10, 25, 28, 11, 1, 11, 9, 6, 24, 35, 2, 11, 3, 11, 4, 10, 28, 34, 3, 38, 13, 4, 4, 20, 8, 11, 32, 15, 25, 33, 34, 29, 1, 11, 10, 36, 26, 14, 30, 6, 9, 19, 27, 35, 19, 13, 2, 1, 19, 38, 16, 21, 35, 33, 5, 30, 22, 3, 37, 37, 24, 20, 21, 33, 33, 8, 7, 19, 23, 35, 20, 24, 39, 6, 36, 33, 38, 19, 19, 11, 12, 11, 26, 3, 31, 18, 17, 14, 25, 6, 3, 14, 13, 32, 33, 32, 10, 14, 11, 11, 34, 2, 20, 13, 9, 28, 34, 27, 17, 31, 22, 39, 22, 10, 38, 36, 2, 4, 11, 8, 11, 32, 26, 9, 17, 35, 12, 29, 36, 1, 32, 38, 22, 4, 3, 31, 6, 5, 6, 23, 29, 1, 19, 31, 25, 16, 29, 4, 1, 32, 33, 25, 19, 22, 32, 37, 34, 13, 21, 9, 24, 10, 15, 2, 6, 12, 21, 30, 30, 37, 17, 13, 27, 5, 19, 12, 36, 15, 10, 28, 31, 27, 4, 24, 4, 33, 22, 37, 32, 11, 24, 1, 7, 22, 34, 35, 21, 25, 7, 4, 25, 17, 21, 10, 21, 28, 29, 22, 27, 2, 23, 9, 20, 10, 16, 18, 36, 12, 9, 13, 25, 35, 26, 22, 25, 39, 16, 19, 26, 12, 14, 39, 16, 20, 2, 31, 12, 14, 25, 1, 18, 37, 13, 8, 15, 17, 13, 29, 33, 4, 39, 8, 2, 26, 26, 21, 15, 34, 15, 27, 14, 28, 4, 21, 25, 16, 30, 30, 1, 13, 31, 33, 34, 22, 24, 23, 27, 31, 14, 31, 33, 30, 23, 9, 15, 34, 21, 30, 32, 13, 1, 24, 17, 16, 4, 6, 21, 22, 37, 11, 34, 1, 19, 22, 20, 29, 16, 16, 9, 30, 30, 6, 25, 25, 27, 4, 17, 32, 28, 7, 30, 23, 26, 12, 5, 14, 32, 13, 31, 26, 37, 19, 30, 18, 32, 3, 16, 25, 9, 28, 28, 27, 24, 36, 32, 7, 19, 13, 36, 36, 21, 17, 32, 5, 10, 29, 29, 4, 12, 27, 31, 36, 18, 14, 28, 38, 22, 16, 38, 26, 34, 17, 20, 13, 25, 20, 22, 5, 31, 8, 26, 9, 8, 31, 22, 37, 35, 38, 13, 7, 28, 4, 7, 35, 5, 10, 20, 5, 3, 21, 33, 20, 33, 5, 11, 1, 19, 1, 37, 16, 39, 13, 14, 5, 29, 24, 13, 23, 19, 32, 17, 11, 13, 32, 37, 24, 7, 27, 15, 25, 22, 35, 35, 27, 6, 36, 17, 7, 21, 20, 5, 23, 5, 33, 19, 19, 8, 37, 14, 36, 34, 36, 9, 28, 39, 35, 21, 39, 22, 15, 16, 5, 37, 27, 5, 32, 38, 3, 10, 1, 20, 7, 30, 5, 11, 36, 34, 6, 4, 17, 20, 18, 15, 2, 1, 39, 21, 18, 11, 2, 24, 21, 36, 29, 28, 23, 33, 29, 39, 27, 35, 11, 11, 38, 12, 35, 38, 16, 31, 16, 34, 4, 37, 6, 35, 38, 24, 34, 24, 24, 17, 7, 9, 4, 7, 30, 37, 5, 36, 19, 21, 4, 28, 25, 22, 2, 18, 9, 16, 12, 27, 31, 31, 36, 26, 3, 9, 26, 18, 1, 28, 35, 19, 39, 3, 6, 38, 9, 10, 18, 2, 21, 2, 5, 19, 39, 15, 26, 34, 34, 25, 39, 11, 24, 25, 28, 35, 21, 19, 36, 7, 30, 35, 15, 22, 22, 5, 19, 14, 6, 17, 3, 22, 23, 26, 30, 35, 24, 4, 29, 5, 24, 34, 4, 7, 39, 36, 3, 30, 31, 27, 37, 6, 8, 20, 8, 14, 6, 32, 26, 6, 17, 3, 16, 17, 21, 4, 35, 33, 8, 5, 1, 34, 8, 8, 12, 29, 16, 38, 25, 9, 34, 17, 4, 23, 23, 34, 7, 16, 17, 1, 25, 22, 23, 34, 15, 36, 38, 36, 3, 4, 9, 7, 5, 18, 26, 23, 8, 18, 30, 14, 17, 1, 12, 14, 38, 36, 32, 26, 11, 13, 2, 18, 34, 32, 28, 25, 28, 17, 25, 14, 2, 4, 19, 17, 29, 1, 10, 6, 15, 24, 14, 32, 18, 7, 33, 14, 20, 31, 35, 16, 32, 15, 17, 25, 15, 3, 26, 12, 9, 10, 6, 30, 32, 9, 6, 4, 8, 30, 11, 4, 24, 22, 35, 36, 33, 25, 36, 4, 29, 22, 39, 28, 17, 36, 33, 14, 30, 20, 8, 18, 39, 6, 38, 30, 35, 2, 28, 6, 30, 34, 24, 28, 20, 2, 6, 26, 21, 14, 7, 34, 23, 13, 37, 28, 6, 37, 24, 21, 3, 32, 13, 16, 29, 23, 33, 9, 15, 13, 29, 24, 29, 23, 15, 9, 26, 15, 3, 27, 19, 2, 7, 26, 9, 21, 17, 15, 3, 10, 22, 34, 33, 34, 9, 18, 19, 10, 19, 19, 17, 23, 23, 1, 29, 6, 12, 35, 35, 13, 37, 14, 5, 12, 2, 15, 26, 24, 27, 8, 33, 29, 18, 22, 21, 25, 37, 23, 6, 12, 28, 32, 33, 38, 16, 5, 24, 10]\n",
      "[1, 1, 3, 1, 3, 1, 1, 1, 1, 3, 2, 2, 1, 1, 2, 3, 2, 2, 1, 2, 3, 2, 3, 3, 1, 2, 3, 3, 2, 2, 1, 3, 3, 1, 3, 3, 2, 2, 1, 3, 2, 3, 2, 2, 3, 1, 3, 3, 1, 3, 3, 2, 2, 3, 1, 2, 2, 3, 1, 1, 1, 1, 2, 3, 1, 1, 1, 1, 1, 1, 3, 3, 3, 2, 2, 3, 1, 1, 3, 2, 1, 1, 1, 3, 2, 3, 1, 3, 1, 2, 2, 1, 1, 1, 2, 1, 1, 2, 1, 3, 1, 1, 1, 2, 1, 2, 1, 3, 3, 3, 1, 2, 2, 2, 2, 1, 2, 1, 2, 2, 3, 2, 2, 1, 2, 1, 3, 2, 2, 2, 1, 1, 1, 3, 3, 2, 2, 3, 1, 3, 2, 3, 1, 2, 3, 1, 1, 2, 1, 3, 3, 2, 3, 2, 3, 2, 1, 1, 3, 2, 3, 2, 2, 3, 3, 2, 1, 2, 2, 3, 2, 1, 3, 1, 2, 1, 2, 3, 1, 1, 3, 1, 1, 1, 3, 3, 2, 2, 2, 3, 1, 3, 1, 3, 3, 2, 3, 2, 1, 2, 2, 3, 2, 1, 1, 3, 3, 1, 1, 2, 1, 2, 1, 3, 1, 3, 1, 3, 3, 1, 1, 2, 1, 3, 3, 2, 1, 3, 2, 3, 3, 1, 2, 1, 1, 1, 3, 1, 3, 1, 1, 2, 2, 1, 1, 3, 3, 2, 3, 2, 3, 2, 3, 1, 1, 1, 2, 2, 3, 1, 1, 1, 1, 3, 3, 3, 1, 1, 1, 2, 1, 1, 3, 2, 1, 2, 1, 3, 1, 1, 3, 2, 1, 3, 2, 2, 1, 2, 1, 3, 3, 3, 1, 3, 2, 3, 3, 1, 1, 2, 3, 1, 1, 1, 2, 3, 3, 2, 3, 1, 1, 3, 3, 1, 1, 1, 3, 1, 1, 2, 1, 3, 1, 2, 1, 1, 1, 1, 3, 3, 2, 1, 1, 1, 1, 1, 3, 2, 2, 2, 2, 2, 2, 3, 2, 1, 2, 2, 1, 3, 2, 3, 1, 3, 2, 1, 3, 3, 1, 1, 1, 1, 3, 1, 2, 1, 1, 1, 3, 2, 1, 1, 3, 1, 1, 2, 1, 2, 2, 3, 2, 1, 1, 2, 1, 1, 2, 3, 2, 1, 2, 1, 2, 2, 3, 2, 1, 2, 1, 3, 3, 1, 1, 1, 3, 2, 1, 3, 1, 1, 2, 3, 1, 3, 2, 2, 1, 3, 3, 3, 1, 2, 1, 3, 3, 2, 2, 1, 1, 3, 3, 2, 3, 2, 1, 1, 1, 1, 2, 3, 1, 3, 3, 2, 1, 1, 2, 1, 1, 1, 3, 3, 3, 1, 1, 1, 1, 2, 3, 2, 2, 1, 3, 1, 1, 3, 2, 1, 1, 1, 1, 3, 2, 3, 1, 1, 1, 3, 3, 1, 1, 2, 2, 1, 3, 1, 3, 3, 1, 2, 2, 3, 3, 1, 1, 2, 1, 3, 3, 3, 1, 2, 1, 1, 2, 2, 3, 1, 1, 2, 1, 2, 2, 1, 2, 2, 3, 1, 3, 1, 1, 1, 1, 1, 1, 2, 1, 3, 3, 2, 3, 1, 1, 2, 1, 1, 1, 1, 3, 1, 1, 3, 3, 1, 1, 1, 2, 1, 2, 2, 2, 2, 2, 1, 3, 2, 3, 2, 3, 2, 2, 3, 2, 3, 1, 2, 2, 2, 2, 2, 2, 2, 3, 2, 2, 1, 2, 3, 1, 3, 3, 1, 2, 1, 1, 2, 1, 2, 3, 2, 1, 2, 3, 3, 1, 1, 1, 3, 3, 3, 2, 1, 2, 1, 1, 1, 3, 3, 1, 1, 1, 1, 2, 1, 3, 1, 2, 1, 2, 3, 1, 1, 1, 2, 2, 3, 3, 2, 2, 2, 2, 2, 3, 2, 3, 3, 2, 1, 2, 1, 2, 3, 1, 1, 3, 3, 1, 1, 2, 1, 1, 2, 3, 3, 2, 1, 1, 3, 2, 1, 2, 3, 3, 1, 1, 1, 3, 1, 3, 1, 2, 3, 1, 1, 3, 3, 2, 1, 1, 3, 3, 3, 2, 1, 1, 1, 1, 3, 1, 2, 3, 1, 2, 1, 3, 1, 3, 2, 2, 3, 2, 2, 1, 1, 1, 3, 1, 2, 1, 1, 3, 1, 2, 2, 1, 3, 1, 1, 3, 1, 3, 1, 2, 1, 2, 3, 3, 2, 1, 3, 1, 1, 3, 3, 1, 1, 2, 1, 1, 3, 2, 1, 2, 1, 1, 1, 3, 2, 1, 1, 3, 2, 2, 1, 2, 1, 1, 3, 3, 3, 3, 2, 1, 3, 1, 1, 3, 2, 1, 1, 1, 3, 3, 3, 2, 1, 1, 1, 1, 1, 2, 1, 2, 3, 1, 2, 1, 1, 1, 2, 3, 2, 3, 3, 3, 3, 3, 2, 2, 3, 3, 3, 2, 1, 1, 1, 1, 2, 2, 2, 3, 1, 2, 3, 1, 1, 2, 2, 1, 2, 2, 2, 1, 2, 1, 1, 2, 2, 1, 1, 3, 2, 2, 3, 1, 3, 1, 1, 2, 3, 2, 3, 2, 2, 2, 2, 1, 3, 1, 3, 1, 1, 1, 1, 3, 3, 3, 3, 2, 3, 1, 3, 1, 1, 3, 3, 1, 2, 2, 1, 1, 3, 3, 1, 3, 3, 1, 1, 2, 1, 2, 3, 2, 2, 2, 2, 2, 1, 1, 2, 2, 1, 1, 3, 1, 3, 3, 2, 3, 3, 1, 2, 2, 1, 1, 3, 3, 2, 1, 2, 1, 2, 2, 1, 3, 3, 1, 2, 1, 1, 2, 3, 1, 1, 1, 2, 3, 2, 2, 1, 3, 1, 1, 3, 2, 2, 2, 1, 2, 3, 1, 1, 2, 1, 1, 2, 3, 2, 1, 1, 1, 2, 3, 3, 1, 2, 2, 1, 3, 3, 1, 1, 1, 1, 3, 3, 1, 2, 1, 2, 3, 3, 1, 2, 3, 2, 1, 3, 3, 2, 3, 2, 2, 2, 3, 1, 1, 3, 2, 3, 3, 1, 3, 1, 1, 1, 3, 1, 2, 2]\n",
      "---------------------------------------\n"
     ]
    }
   ],
   "source": [
    "for i in range(4):\n",
    "    print(\"%s graph community memberships\" % gnames[i])\n",
    "    vs_A = []\n",
    "    for j in range(len(gs[i].vs)):\n",
    "        vs_A.append(int(gs[i].vs[j]['Cluster_ID_A']))\n",
    "    print(vs_A)\n",
    "    vs_B = []\n",
    "    for j in range(len(gs[i].vs)):\n",
    "        vs_B.append(int(gs[i].vs[j]['Cluster_ID_B']))\n",
    "    print(vs_B)\n",
    "    print(sprtr)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "test75\n",
      "Communities:\n",
      "[[3, 4, 5, 6, 8, 12, 13, 17, 20, 26, 27, 29, 30, 31, 35, 36, 39, 40, 48, 49, 58, 62, 69, 72, 73], [1, 10, 11, 15, 16, 19, 23, 37, 42, 43, 44, 45, 46, 47, 50, 52, 55, 56, 57, 59, 61, 66, 70, 71, 75], [2, 7, 9, 14, 18, 21, 22, 24, 25, 28, 32, 33, 34, 38, 41, 51, 53, 54, 60, 63, 64, 65, 67, 68, 74], [9, 10, 14, 23, 26, 29, 30, 38, 48, 58, 61, 69, 73, 74], [6, 18, 34, 41, 42, 59, 67, 68], [2, 5, 19, 39, 53, 56, 65, 66], [11, 27, 37, 44, 46], [24, 28, 31, 36, 40, 45, 49], [3, 8, 13, 15, 16, 17, 20, 43, 47, 51, 52, 57, 60, 62, 63, 64, 70, 75], [4, 7, 12, 22, 25, 32, 33, 50, 71, 72], [1, 21, 35, 54, 55]]\n",
      "---------------------------------------\n",
      "test100\n",
      "Communities:\n",
      "[[3, 4, 5, 8, 10, 12, 13, 18, 24, 26, 29, 32, 33, 34, 38, 41, 48, 70, 73, 75, 76, 83, 87, 88, 89, 97], [1, 2, 6, 15, 17, 25, 27, 28, 39, 43, 44, 46, 50, 52, 54, 62, 63, 67, 72, 78, 80, 84, 86, 92, 99, 100], [7, 11, 14, 16, 19, 23, 30, 31, 37, 42, 45, 57, 58, 59, 61, 65, 66, 68, 77, 79, 81, 90, 91, 93], [9, 20, 21, 22, 35, 36, 40, 47, 49, 51, 53, 55, 56, 60, 64, 69, 71, 74, 82, 85, 94, 95, 96, 98], [8, 19, 22, 34, 41], [4, 15, 17, 18, 23, 33, 46, 54, 59, 65, 66, 67, 73, 79, 82, 87, 88, 89, 95, 96, 99], [1, 25, 27, 39, 44], [32, 36, 51, 53, 68, 69, 71], [3, 5, 7, 11, 12, 16, 20, 30, 31, 35, 37, 38, 42, 47, 48, 49, 55, 57, 58, 61, 62, 63, 64, 72, 74, 76, 77, 78, 80, 83, 84, 85, 86, 90, 91, 92, 93, 94, 97, 98, 100], [6, 10, 13, 24, 45, 56, 70], [2, 14, 21, 28, 50, 52, 60, 75, 81], [9, 26, 29, 40, 43]]\n",
      "---------------------------------------\n",
      "test400\n",
      "Communities:\n",
      "[[51, 100, 131, 149, 209, 212, 221, 222, 236, 266, 274, 278, 293, 294, 295, 296, 297, 315, 317, 319, 324, 330, 331, 332, 334, 343, 356, 364], [25, 31, 34, 64, 82, 83, 98, 114, 117, 134, 135, 202, 225, 232, 233, 234, 242, 249, 256, 258, 264, 272, 273, 292, 299, 304, 310], [11, 33, 61, 72, 86, 87, 96, 102, 115, 118, 119, 136, 164, 167, 170, 171, 178, 181, 193, 194, 197, 198, 203, 220], [3, 49, 84, 106, 109, 168, 196, 205, 215, 241, 252, 255, 262, 263, 283, 311, 318, 320, 328, 329, 336, 338, 339, 340, 341, 353, 354, 366], [14, 26, 39, 40, 53, 66, 89, 125, 144, 148, 175, 184, 186, 189, 191, 192, 206, 207, 224, 226, 228, 247, 269, 270, 284, 309], [20, 56, 116, 124, 143, 146, 155, 158, 182, 204, 210, 227, 230, 235, 238, 239, 240, 259, 279, 280, 285, 287, 288, 291, 306, 314, 316], [15, 18, 59, 71, 73, 91, 112, 126, 129, 138, 151, 153, 157, 161, 169, 172, 176, 177, 179, 183, 188, 211, 218, 219], [2, 8, 32, 62, 92, 121, 122, 127, 139, 140, 152, 214, 216, 243, 245, 248, 261, 267, 281, 289, 290, 298, 300, 303, 308, 312, 327], [17, 60, 120, 147, 159, 213, 223, 229, 246, 253, 254, 257, 268, 276, 277, 282, 286, 305, 321, 322, 325, 337, 348, 350, 358, 359, 360, 370], [346, 347, 351, 352, 355, 357, 361, 362, 363, 365, 368, 369, 371, 372, 374, 375, 376, 377, 378, 379, 380, 381, 382, 383, 384, 385, 386, 387, 388, 389, 390, 391, 392, 393, 394, 395, 396, 397, 398, 399, 400], [5, 9, 27, 30, 37, 45, 50, 54, 58, 65, 69, 74, 76, 77, 80, 81, 90, 97, 99, 103, 133, 162], [1, 4, 6, 21, 22, 24, 28, 35, 38, 42, 43, 44, 68, 78, 88, 93, 94, 95, 105, 108, 113, 145], [10, 16, 19, 36, 41, 46, 55, 57, 63, 67, 70, 79, 101, 128, 130, 141, 142, 154, 156, 163, 165, 185, 195], [7, 12, 13, 29, 47, 48, 52, 75, 104, 107, 110, 111, 132, 160, 166, 173, 174, 180, 190, 201, 208, 217, 231, 271, 275], [23, 85, 123, 137, 150, 187, 199, 200, 237, 244, 250, 251, 260, 265, 301, 302, 307, 313, 323, 326, 333, 335, 342, 344, 345, 349, 367, 373], [17, 32, 45, 56, 81, 92, 148, 246, 275, 356], [5, 24, 78, 144, 152, 188, 265, 326, 328, 366], [58, 96, 136, 178, 182, 264, 270, 271, 400], [15, 162, 215, 261, 284, 311, 352, 359], [14, 35, 53, 154, 291, 305, 332, 380], [98, 128, 134, 166, 186, 200, 249, 262, 273, 304, 377], [89, 137, 143, 258, 289, 312, 315], [11, 36, 106, 161, 224, 244, 277, 282, 329, 354, 370, 378], [151, 220, 221, 223, 226, 254, 286, 317, 324, 334, 375, 398], [31, 109, 153, 222, 292], [49, 133, 140, 268, 287], [13, 100, 189, 209, 214, 231, 272, 307, 358, 369, 385], [19, 40, 55, 111, 126, 247, 314, 355, 383], [50, 164, 170, 228, 309], [22, 79, 88, 120, 165, 256, 260, 263, 298, 338, 341, 347], [8, 25, 42, 60, 68, 167, 210, 248, 290, 297, 301], [73, 95, 147, 180, 245], [4, 107, 115, 176, 197, 227, 280, 302, 384, 399], [9, 28, 132, 158, 160, 181, 202, 212, 266, 368, 392], [20, 27, 61, 80, 86, 112, 123, 146, 195, 199, 219, 395], [101, 108, 125, 206, 320, 323, 372, 373, 374], [6, 44, 76, 130, 233, 237, 296, 346, 349, 379], [7, 34, 69, 124, 207, 274, 342], [12, 99, 129, 150, 238, 267, 331, 367], [39, 51, 83, 183, 313, 321], [10, 43, 114, 205, 217, 259, 288, 303, 327, 393], [91, 138, 141, 232, 336, 382, 387, 389, 390], [52, 62, 84, 192, 211, 236, 308, 360, 361], [110, 173, 185, 196, 208, 229], [21, 30, 37, 46, 269], [29, 47, 90, 93, 213], [72, 169, 193, 218, 276, 351], [57, 66, 104, 255, 325, 345], [59, 77, 102, 117, 171, 204, 253, 293, 295, 318, 353], [54, 82, 163, 242, 252, 279, 316, 335, 343, 388], [38, 113, 122, 175, 194, 234, 322], [16, 174, 230, 235, 319, 330, 357, 362], [1, 26, 156, 294, 300, 339, 363, 364], [41, 65, 105, 127, 149, 159, 184, 201, 239, 257, 333, 340], [2, 241, 243, 283, 310], [118, 135, 145, 172, 285, 344], [23, 64, 119, 142, 177, 198], [74, 75, 121, 179, 281, 348, 376], [63, 87, 157, 168, 191, 306, 386, 391, 397], [67, 94, 131, 139, 203, 240, 350, 394, 396], [48, 70, 71, 190, 225, 250, 251, 299, 365, 371], [18, 33, 85, 116, 216, 278, 337, 381], [3, 97, 103, 155, 187]]\n",
      "---------------------------------------\n",
      "test1000\n",
      "Communities:\n",
      "[[25, 30, 53, 74, 128, 148, 176, 191, 273, 285, 292, 335, 383, 412, 434, 445, 549, 551, 613, 628, 693, 775, 794, 816, 840, 966], [11, 63, 123, 154, 190, 245, 260, 307, 353, 378, 396, 627, 633, 679, 704, 706, 825, 835, 900, 908, 944, 977], [79, 88, 156, 162, 201, 227, 234, 278, 479, 542, 611, 689, 698, 735, 751, 766, 803, 860, 923, 941, 951], [81, 158, 165, 166, 261, 277, 291, 326, 328, 343, 393, 406, 438, 459, 501, 535, 622, 655, 667, 675, 742, 747, 770, 787, 804, 836, 870, 874, 882], [37, 49, 57, 86, 105, 120, 198, 281, 317, 468, 497, 521, 538, 541, 547, 557, 584, 586, 605, 608, 617, 671, 707, 730, 744, 774, 807, 975, 998], [1, 117, 151, 183, 217, 233, 280, 282, 308, 439, 455, 578, 621, 657, 699, 733, 756, 761, 764, 842, 865, 869, 896, 902, 909, 919, 968, 991], [55, 58, 92, 210, 336, 342, 463, 489, 533, 536, 570, 581, 615, 665, 668, 724, 748, 791, 806, 848, 913, 945], [2, 24, 26, 64, 168, 209, 263, 387, 395, 523, 526, 590, 757, 759, 773, 777, 778, 811, 871, 893, 982], [39, 56, 70, 77, 80, 150, 184, 248, 267, 303, 355, 362, 427, 452, 482, 525, 596, 666, 681, 690, 701, 784, 805, 863, 868, 930, 938, 947, 957], [22, 60, 118, 144, 159, 178, 240, 257, 305, 322, 347, 357, 498, 539, 612, 702, 841, 864, 952, 960, 1000], [32, 72, 94, 100, 147, 149, 155, 157, 169, 177, 223, 225, 242, 243, 262, 264, 333, 443, 548, 565, 618, 632, 645, 646, 716, 823, 873], [5, 27, 69, 93, 112, 133, 224, 270, 309, 319, 361, 373, 380, 467, 502, 648, 683, 779, 817, 862, 969, 976, 992], [43, 47, 103, 129, 164, 189, 236, 247, 301, 315, 363, 386, 390, 413, 433, 471, 491, 517, 532, 555, 560, 566, 824, 916, 925, 932, 972], [28, 107, 116, 181, 231, 235, 241, 374, 381, 404, 422, 469, 507, 556, 592, 732, 760, 814, 818, 834, 845, 850, 890, 912, 974], [46, 52, 76, 83, 108, 171, 306, 321, 388, 400, 402, 428, 572, 603, 626, 710, 727, 799, 843, 856, 859, 931, 937, 940, 950, 978], [6, 54, 134, 194, 289, 358, 370, 376, 409, 437, 450, 451, 480, 511, 553, 604, 651, 653, 682, 767, 781, 792, 854, 926, 997], [66, 127, 131, 230, 252, 268, 314, 345, 389, 436, 460, 495, 515, 564, 580, 623, 664, 734, 765, 768, 786, 793, 815, 832, 838, 857, 887, 949, 963], [61, 71, 91, 97, 119, 122, 125, 143, 229, 359, 384, 477, 506, 625, 631, 680, 692, 703, 808, 812, 826, 847, 894, 958, 985], [16, 101, 137, 185, 188, 192, 211, 221, 222, 286, 296, 318, 371, 446, 475, 490, 550, 562, 588, 589, 673, 696, 708, 722, 731, 837, 943, 959, 961, 962], [15, 20, 31, 96, 106, 167, 205, 214, 246, 356, 377, 448, 516, 519, 540, 545, 583, 614, 624, 758, 851, 892, 907], [67, 85, 195, 206, 302, 310, 340, 346, 348, 399, 407, 430, 440, 494, 543, 582, 600, 630, 635, 674, 705, 721, 769, 911, 922, 948, 987], [23, 45, 62, 110, 200, 254, 256, 276, 297, 330, 337, 351, 367, 417, 441, 447, 510, 520, 528, 574, 602, 678, 728, 729, 736, 796, 876, 884, 953, 986], [50, 212, 283, 354, 419, 426, 465, 561, 585, 639, 737, 788, 789, 797, 810, 915, 928, 936, 964, 965, 990], [73, 95, 99, 115, 132, 152, 204, 215, 304, 327, 334, 418, 435, 486, 559, 569, 634, 660, 662, 663, 717, 741, 745, 844, 875, 905, 921, 934, 980, 999], [82, 87, 90, 109, 113, 124, 130, 145, 172, 232, 288, 295, 341, 344, 364, 368, 382, 408, 456, 457, 481, 518, 573, 677, 714, 718, 783, 795, 830, 833, 858, 880, 988], [7, 19, 180, 226, 266, 366, 372, 397, 398, 466, 473, 513, 524, 688, 691, 711, 738, 763, 809, 822, 861, 910, 939, 946, 979], [35, 121, 186, 251, 316, 325, 352, 403, 420, 458, 485, 503, 571, 577, 607, 643, 684, 754, 942, 981], [36, 42, 104, 138, 146, 160, 249, 323, 349, 405, 462, 483, 484, 508, 534, 597, 638, 676, 694, 719, 829, 831, 886, 901, 906, 918, 993], [8, 12, 13, 89, 98, 175, 271, 284, 290, 350, 391, 449, 499, 500, 558, 637, 641, 743, 780, 839, 883, 927, 933, 935, 967, 984], [41, 44, 182, 199, 311, 312, 410, 411, 425, 431, 453, 454, 464, 476, 616, 669, 725, 739, 752, 813, 866, 872, 891, 898, 903], [21, 29, 228, 253, 279, 287, 324, 379, 414, 421, 423, 472, 504, 522, 527, 652, 685, 686, 753, 852], [9, 78, 102, 135, 170, 237, 239, 265, 274, 293, 298, 332, 432, 461, 470, 478, 488, 496, 563, 567, 609, 762, 821, 828, 846, 855, 867, 924, 994], [10, 38, 59, 111, 142, 173, 197, 207, 208, 219, 238, 294, 329, 392, 415, 424, 544, 546, 587, 640, 772, 849, 879, 889, 929, 955, 983, 995], [3, 4, 14, 161, 174, 244, 250, 300, 338, 401, 416, 429, 444, 514, 594, 620, 654, 661, 712, 713, 746, 776, 785, 790, 798, 827, 904, 914, 954, 956], [34, 51, 65, 75, 114, 153, 187, 196, 213, 269, 339, 365, 530, 537, 575, 576, 599, 644, 649, 658, 695, 720, 726, 740, 771, 853, 877, 899, 970, 971], [68, 139, 179, 218, 259, 272, 320, 360, 487, 492, 493, 505, 579, 593, 595, 619, 636, 672, 687, 723, 750, 800, 802, 820, 878, 881, 888], [17, 18, 40, 84, 202, 203, 299, 313, 331, 385, 442, 474, 529, 552, 568, 591, 606, 656, 670, 755, 917, 920, 973, 989], [33, 126, 163, 193, 220, 258, 275, 509, 512, 531, 610, 647, 650, 659, 700, 782, 801, 819, 897, 996], [48, 136, 140, 141, 216, 255, 369, 375, 394, 554, 598, 601, 629, 642, 697, 709, 715, 749, 885, 895], [1, 2, 4, 6, 7, 8, 9, 13, 14, 19, 25, 31, 34, 39, 46, 49, 55, 59, 60, 61, 62, 65, 66, 67, 68, 69, 70, 77, 78, 81, 82, 83, 87, 89, 92, 93, 94, 96, 97, 99, 101, 102, 103, 105, 107, 111, 116, 118, 124, 126, 131, 132, 133, 139, 143, 146, 147, 149, 157, 158, 167, 172, 174, 176, 179, 180, 182, 183, 184, 191, 193, 199, 204, 205, 208, 209, 211, 213, 215, 217, 220, 221, 223, 227, 232, 234, 235, 236, 238, 240, 241, 244, 245, 254, 255, 256, 260, 261, 262, 263, 267, 268, 269, 271, 272, 275, 277, 279, 280, 283, 287, 289, 293, 298, 299, 302, 303, 304, 310, 311, 314, 315, 316, 318, 319, 321, 323, 325, 326, 327, 328, 332, 333, 334, 335, 336, 346, 349, 353, 356, 359, 360, 361, 362, 364, 366, 367, 368, 371, 372, 374, 375, 377, 382, 383, 385, 386, 390, 392, 397, 399, 402, 403, 404, 407, 409, 410, 413, 417, 421, 423, 428, 429, 435, 436, 437, 438, 441, 445, 446, 448, 449, 450, 454, 455, 456, 457, 462, 464, 465, 468, 469, 470, 471, 475, 476, 477, 480, 481, 484, 486, 489, 494, 495, 497, 501, 503, 504, 508, 509, 511, 514, 518, 520, 521, 522, 523, 524, 525, 527, 532, 533, 535, 536, 537, 538, 540, 541, 544, 545, 546, 548, 554, 565, 576, 579, 582, 584, 585, 587, 591, 595, 596, 597, 602, 604, 605, 606, 609, 610, 611, 612, 614, 616, 618, 621, 622, 623, 638, 640, 643, 644, 647, 648, 650, 651, 656, 657, 660, 664, 665, 666, 668, 670, 673, 674, 678, 679, 684, 685, 686, 687, 689, 692, 694, 696, 703, 704, 705, 707, 709, 710, 712, 715, 717, 718, 720, 722, 724, 729, 731, 732, 735, 736, 738, 739, 742, 744, 745, 746, 749, 750, 754, 756, 757, 763, 765, 766, 769, 770, 771, 776, 777, 778, 779, 780, 782, 785, 787, 788, 789, 804, 805, 806, 807, 812, 815, 816, 819, 823, 825, 826, 829, 830, 835, 837, 838, 847, 849, 851, 852, 853, 854, 861, 863, 864, 867, 870, 871, 874, 877, 878, 880, 888, 889, 892, 893, 895, 901, 904, 905, 909, 911, 914, 917, 919, 920, 923, 924, 925, 930, 932, 933, 938, 941, 942, 944, 945, 949, 950, 951, 955, 958, 961, 962, 963, 964, 967, 969, 973, 977, 986, 987, 992, 994, 995, 996, 998], [11, 12, 15, 17, 18, 20, 22, 26, 29, 30, 37, 38, 41, 43, 44, 52, 53, 56, 57, 63, 74, 75, 80, 85, 90, 91, 95, 98, 104, 106, 112, 113, 114, 115, 117, 119, 120, 122, 123, 125, 128, 129, 130, 136, 137, 141, 144, 148, 152, 154, 156, 160, 162, 163, 166, 168, 169, 171, 175, 177, 187, 188, 189, 196, 198, 200, 201, 203, 210, 212, 222, 226, 229, 233, 242, 243, 248, 250, 252, 257, 258, 270, 274, 276, 282, 285, 286, 288, 295, 300, 305, 308, 320, 324, 331, 338, 339, 340, 341, 342, 343, 345, 347, 348, 351, 355, 365, 370, 376, 378, 379, 381, 384, 387, 389, 391, 393, 394, 396, 398, 406, 411, 415, 416, 422, 426, 427, 432, 434, 439, 444, 447, 458, 460, 461, 467, 473, 482, 483, 490, 491, 496, 502, 505, 506, 510, 512, 513, 515, 516, 526, 530, 534, 547, 549, 550, 551, 552, 553, 556, 558, 560, 561, 563, 566, 567, 568, 569, 570, 571, 572, 574, 575, 577, 583, 586, 588, 590, 592, 601, 603, 613, 617, 619, 624, 625, 628, 629, 630, 631, 632, 634, 637, 639, 641, 649, 652, 655, 659, 661, 671, 677, 683, 690, 693, 698, 699, 701, 702, 708, 713, 714, 723, 725, 728, 737, 741, 743, 748, 752, 753, 755, 762, 768, 775, 781, 783, 786, 790, 792, 798, 799, 803, 808, 809, 810, 813, 817, 818, 820, 821, 822, 824, 827, 828, 832, 833, 839, 841, 843, 844, 845, 846, 859, 868, 869, 879, 881, 883, 884, 885, 886, 887, 890, 891, 898, 902, 903, 908, 910, 912, 913, 918, 921, 926, 928, 929, 935, 936, 937, 939, 943, 946, 948, 952, 956, 957, 968, 970, 974, 976, 980, 982, 983, 984, 989, 999, 1000], [3, 5, 10, 16, 21, 23, 24, 27, 28, 32, 33, 35, 36, 40, 42, 45, 47, 48, 50, 51, 54, 58, 64, 71, 72, 73, 76, 79, 84, 86, 88, 100, 108, 109, 110, 121, 127, 134, 135, 138, 140, 142, 145, 150, 151, 153, 155, 159, 161, 164, 165, 170, 173, 178, 181, 185, 186, 190, 192, 194, 195, 197, 202, 206, 207, 214, 216, 218, 219, 224, 225, 228, 230, 231, 237, 239, 246, 247, 249, 251, 253, 259, 264, 265, 266, 273, 278, 281, 284, 290, 291, 292, 294, 296, 297, 301, 306, 307, 309, 312, 313, 317, 322, 329, 330, 337, 344, 350, 352, 354, 357, 358, 363, 369, 373, 380, 388, 395, 400, 401, 405, 408, 412, 414, 418, 419, 420, 424, 425, 430, 431, 433, 440, 442, 443, 451, 452, 453, 459, 463, 466, 472, 474, 478, 479, 485, 487, 488, 492, 493, 498, 499, 500, 507, 517, 519, 528, 529, 531, 539, 542, 543, 555, 557, 559, 562, 564, 573, 578, 580, 581, 589, 593, 594, 598, 599, 600, 607, 608, 615, 620, 626, 627, 633, 635, 636, 642, 645, 646, 653, 654, 658, 662, 663, 667, 669, 672, 675, 676, 680, 681, 682, 688, 691, 695, 697, 700, 706, 711, 716, 719, 721, 726, 727, 730, 733, 734, 740, 747, 751, 758, 759, 760, 761, 764, 767, 772, 773, 774, 784, 791, 793, 794, 795, 796, 797, 800, 801, 802, 811, 814, 831, 834, 836, 840, 842, 848, 850, 855, 856, 857, 858, 860, 862, 865, 866, 872, 873, 875, 876, 882, 894, 896, 897, 899, 900, 906, 907, 915, 916, 922, 927, 931, 934, 940, 947, 953, 954, 959, 960, 965, 966, 971, 972, 975, 978, 979, 981, 985, 988, 990, 991, 993, 997]]\n",
      "---------------------------------------\n"
     ]
    }
   ],
   "source": [
    "#Merging the ground truth communities in variable com_A\n",
    "com_A = []\n",
    "for i in range(len(gs)):\n",
    "    print(gnames[i])\n",
    "    c_A, c_B = get_comms(gs[i], \"Cluster_ID_A\"), get_comms(gs[i], \"Cluster_ID_B\")\n",
    "    c_A = c_A + c_B\n",
    "    print(\"Communities:\")\n",
    "    print(c_A)\n",
    "    com_A.append(c_A)\n",
    "    print(sprtr)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "test75 graph communities\n",
      "Nodes in community membership 1:\n",
      "[3, 4, 5, 6, 8, 12, 13, 17, 20, 26, 27, 29, 30, 31, 35, 36, 39, 40, 48, 49, 58, 62, 69, 72, 73]\n",
      "Nodes in community membership 2:\n",
      "[1, 10, 11, 15, 16, 19, 23, 37, 42, 43, 44, 45, 46, 47, 50, 52, 55, 56, 57, 59, 61, 66, 70, 71, 75]\n",
      "Nodes in community membership 3:\n",
      "[2, 7, 9, 14, 18, 21, 22, 24, 25, 28, 32, 33, 34, 38, 41, 51, 53, 54, 60, 63, 64, 65, 67, 68, 74]\n",
      "Nodes in community membership 4:\n",
      "[9, 10, 14, 23, 26, 29, 30, 38, 48, 58, 61, 69, 73, 74]\n",
      "Nodes in community membership 5:\n",
      "[6, 18, 34, 41, 42, 59, 67, 68]\n",
      "Nodes in community membership 6:\n",
      "[2, 5, 19, 39, 53, 56, 65, 66]\n",
      "Nodes in community membership 7:\n",
      "[11, 27, 37, 44, 46]\n",
      "Nodes in community membership 8:\n",
      "[24, 28, 31, 36, 40, 45, 49]\n",
      "Nodes in community membership 9:\n",
      "[3, 8, 13, 15, 16, 17, 20, 43, 47, 51, 52, 57, 60, 62, 63, 64, 70, 75]\n",
      "Nodes in community membership 10:\n",
      "[4, 7, 12, 22, 25, 32, 33, 50, 71, 72]\n",
      "Nodes in community membership 11:\n",
      "[1, 21, 35, 54, 55]\n",
      "---------------------------------------\n",
      "test100 graph communities\n",
      "Nodes in community membership 1:\n",
      "[3, 4, 5, 8, 10, 12, 13, 18, 24, 26, 29, 32, 33, 34, 38, 41, 48, 70, 73, 75, 76, 83, 87, 88, 89, 97]\n",
      "Nodes in community membership 2:\n",
      "[1, 2, 6, 15, 17, 25, 27, 28, 39, 43, 44, 46, 50, 52, 54, 62, 63, 67, 72, 78, 80, 84, 86, 92, 99, 100]\n",
      "Nodes in community membership 3:\n",
      "[7, 11, 14, 16, 19, 23, 30, 31, 37, 42, 45, 57, 58, 59, 61, 65, 66, 68, 77, 79, 81, 90, 91, 93]\n",
      "Nodes in community membership 4:\n",
      "[9, 20, 21, 22, 35, 36, 40, 47, 49, 51, 53, 55, 56, 60, 64, 69, 71, 74, 82, 85, 94, 95, 96, 98]\n",
      "Nodes in community membership 5:\n",
      "[8, 19, 22, 34, 41]\n",
      "Nodes in community membership 6:\n",
      "[4, 15, 17, 18, 23, 33, 46, 54, 59, 65, 66, 67, 73, 79, 82, 87, 88, 89, 95, 96, 99]\n",
      "Nodes in community membership 7:\n",
      "[1, 25, 27, 39, 44]\n",
      "Nodes in community membership 8:\n",
      "[32, 36, 51, 53, 68, 69, 71]\n",
      "Nodes in community membership 9:\n",
      "[3, 5, 7, 11, 12, 16, 20, 30, 31, 35, 37, 38, 42, 47, 48, 49, 55, 57, 58, 61, 62, 63, 64, 72, 74, 76, 77, 78, 80, 83, 84, 85, 86, 90, 91, 92, 93, 94, 97, 98, 100]\n",
      "Nodes in community membership 10:\n",
      "[6, 10, 13, 24, 45, 56, 70]\n",
      "Nodes in community membership 11:\n",
      "[2, 14, 21, 28, 50, 52, 60, 75, 81]\n",
      "Nodes in community membership 12:\n",
      "[9, 26, 29, 40, 43]\n",
      "---------------------------------------\n",
      "test400 graph communities\n",
      "Nodes in community membership 1:\n",
      "[51, 100, 131, 149, 209, 212, 221, 222, 236, 266, 274, 278, 293, 294, 295, 296, 297, 315, 317, 319, 324, 330, 331, 332, 334, 343, 356, 364]\n",
      "Nodes in community membership 2:\n",
      "[25, 31, 34, 64, 82, 83, 98, 114, 117, 134, 135, 202, 225, 232, 233, 234, 242, 249, 256, 258, 264, 272, 273, 292, 299, 304, 310]\n",
      "Nodes in community membership 3:\n",
      "[11, 33, 61, 72, 86, 87, 96, 102, 115, 118, 119, 136, 164, 167, 170, 171, 178, 181, 193, 194, 197, 198, 203, 220]\n",
      "Nodes in community membership 4:\n",
      "[3, 49, 84, 106, 109, 168, 196, 205, 215, 241, 252, 255, 262, 263, 283, 311, 318, 320, 328, 329, 336, 338, 339, 340, 341, 353, 354, 366]\n",
      "Nodes in community membership 5:\n",
      "[14, 26, 39, 40, 53, 66, 89, 125, 144, 148, 175, 184, 186, 189, 191, 192, 206, 207, 224, 226, 228, 247, 269, 270, 284, 309]\n",
      "Nodes in community membership 6:\n",
      "[20, 56, 116, 124, 143, 146, 155, 158, 182, 204, 210, 227, 230, 235, 238, 239, 240, 259, 279, 280, 285, 287, 288, 291, 306, 314, 316]\n",
      "Nodes in community membership 7:\n",
      "[15, 18, 59, 71, 73, 91, 112, 126, 129, 138, 151, 153, 157, 161, 169, 172, 176, 177, 179, 183, 188, 211, 218, 219]\n",
      "Nodes in community membership 8:\n",
      "[2, 8, 32, 62, 92, 121, 122, 127, 139, 140, 152, 214, 216, 243, 245, 248, 261, 267, 281, 289, 290, 298, 300, 303, 308, 312, 327]\n",
      "Nodes in community membership 9:\n",
      "[17, 60, 120, 147, 159, 213, 223, 229, 246, 253, 254, 257, 268, 276, 277, 282, 286, 305, 321, 322, 325, 337, 348, 350, 358, 359, 360, 370]\n",
      "Nodes in community membership 10:\n",
      "[346, 347, 351, 352, 355, 357, 361, 362, 363, 365, 368, 369, 371, 372, 374, 375, 376, 377, 378, 379, 380, 381, 382, 383, 384, 385, 386, 387, 388, 389, 390, 391, 392, 393, 394, 395, 396, 397, 398, 399, 400]\n",
      "Nodes in community membership 11:\n",
      "[5, 9, 27, 30, 37, 45, 50, 54, 58, 65, 69, 74, 76, 77, 80, 81, 90, 97, 99, 103, 133, 162]\n",
      "Nodes in community membership 12:\n",
      "[1, 4, 6, 21, 22, 24, 28, 35, 38, 42, 43, 44, 68, 78, 88, 93, 94, 95, 105, 108, 113, 145]\n",
      "Nodes in community membership 13:\n",
      "[10, 16, 19, 36, 41, 46, 55, 57, 63, 67, 70, 79, 101, 128, 130, 141, 142, 154, 156, 163, 165, 185, 195]\n",
      "Nodes in community membership 14:\n",
      "[7, 12, 13, 29, 47, 48, 52, 75, 104, 107, 110, 111, 132, 160, 166, 173, 174, 180, 190, 201, 208, 217, 231, 271, 275]\n",
      "Nodes in community membership 15:\n",
      "[23, 85, 123, 137, 150, 187, 199, 200, 237, 244, 250, 251, 260, 265, 301, 302, 307, 313, 323, 326, 333, 335, 342, 344, 345, 349, 367, 373]\n",
      "Nodes in community membership 16:\n",
      "[17, 32, 45, 56, 81, 92, 148, 246, 275, 356]\n",
      "Nodes in community membership 17:\n",
      "[5, 24, 78, 144, 152, 188, 265, 326, 328, 366]\n",
      "Nodes in community membership 18:\n",
      "[58, 96, 136, 178, 182, 264, 270, 271, 400]\n",
      "Nodes in community membership 19:\n",
      "[15, 162, 215, 261, 284, 311, 352, 359]\n",
      "Nodes in community membership 20:\n",
      "[14, 35, 53, 154, 291, 305, 332, 380]\n",
      "Nodes in community membership 21:\n",
      "[98, 128, 134, 166, 186, 200, 249, 262, 273, 304, 377]\n",
      "Nodes in community membership 22:\n",
      "[89, 137, 143, 258, 289, 312, 315]\n",
      "Nodes in community membership 23:\n",
      "[11, 36, 106, 161, 224, 244, 277, 282, 329, 354, 370, 378]\n",
      "Nodes in community membership 24:\n",
      "[151, 220, 221, 223, 226, 254, 286, 317, 324, 334, 375, 398]\n",
      "Nodes in community membership 25:\n",
      "[31, 109, 153, 222, 292]\n",
      "Nodes in community membership 26:\n",
      "[49, 133, 140, 268, 287]\n",
      "Nodes in community membership 27:\n",
      "[13, 100, 189, 209, 214, 231, 272, 307, 358, 369, 385]\n",
      "Nodes in community membership 28:\n",
      "[19, 40, 55, 111, 126, 247, 314, 355, 383]\n",
      "Nodes in community membership 29:\n",
      "[50, 164, 170, 228, 309]\n",
      "Nodes in community membership 30:\n",
      "[22, 79, 88, 120, 165, 256, 260, 263, 298, 338, 341, 347]\n",
      "Nodes in community membership 31:\n",
      "[8, 25, 42, 60, 68, 167, 210, 248, 290, 297, 301]\n",
      "Nodes in community membership 32:\n",
      "[73, 95, 147, 180, 245]\n",
      "Nodes in community membership 33:\n",
      "[4, 107, 115, 176, 197, 227, 280, 302, 384, 399]\n",
      "Nodes in community membership 34:\n",
      "[9, 28, 132, 158, 160, 181, 202, 212, 266, 368, 392]\n",
      "Nodes in community membership 35:\n",
      "[20, 27, 61, 80, 86, 112, 123, 146, 195, 199, 219, 395]\n",
      "Nodes in community membership 36:\n",
      "[101, 108, 125, 206, 320, 323, 372, 373, 374]\n",
      "Nodes in community membership 37:\n",
      "[6, 44, 76, 130, 233, 237, 296, 346, 349, 379]\n",
      "Nodes in community membership 38:\n",
      "[7, 34, 69, 124, 207, 274, 342]\n",
      "Nodes in community membership 39:\n",
      "[12, 99, 129, 150, 238, 267, 331, 367]\n",
      "Nodes in community membership 40:\n",
      "[39, 51, 83, 183, 313, 321]\n",
      "Nodes in community membership 41:\n",
      "[10, 43, 114, 205, 217, 259, 288, 303, 327, 393]\n",
      "Nodes in community membership 42:\n",
      "[91, 138, 141, 232, 336, 382, 387, 389, 390]\n",
      "Nodes in community membership 43:\n",
      "[52, 62, 84, 192, 211, 236, 308, 360, 361]\n",
      "Nodes in community membership 44:\n",
      "[110, 173, 185, 196, 208, 229]\n",
      "Nodes in community membership 45:\n",
      "[21, 30, 37, 46, 269]\n",
      "Nodes in community membership 46:\n",
      "[29, 47, 90, 93, 213]\n",
      "Nodes in community membership 47:\n",
      "[72, 169, 193, 218, 276, 351]\n",
      "Nodes in community membership 48:\n",
      "[57, 66, 104, 255, 325, 345]\n",
      "Nodes in community membership 49:\n",
      "[59, 77, 102, 117, 171, 204, 253, 293, 295, 318, 353]\n",
      "Nodes in community membership 50:\n",
      "[54, 82, 163, 242, 252, 279, 316, 335, 343, 388]\n",
      "Nodes in community membership 51:\n",
      "[38, 113, 122, 175, 194, 234, 322]\n",
      "Nodes in community membership 52:\n",
      "[16, 174, 230, 235, 319, 330, 357, 362]\n",
      "Nodes in community membership 53:\n",
      "[1, 26, 156, 294, 300, 339, 363, 364]\n",
      "Nodes in community membership 54:\n",
      "[41, 65, 105, 127, 149, 159, 184, 201, 239, 257, 333, 340]\n",
      "Nodes in community membership 55:\n",
      "[2, 241, 243, 283, 310]\n",
      "Nodes in community membership 56:\n",
      "[118, 135, 145, 172, 285, 344]\n",
      "Nodes in community membership 57:\n",
      "[23, 64, 119, 142, 177, 198]\n",
      "Nodes in community membership 58:\n",
      "[74, 75, 121, 179, 281, 348, 376]\n",
      "Nodes in community membership 59:\n",
      "[63, 87, 157, 168, 191, 306, 386, 391, 397]\n",
      "Nodes in community membership 60:\n",
      "[67, 94, 131, 139, 203, 240, 350, 394, 396]\n",
      "Nodes in community membership 61:\n",
      "[48, 70, 71, 190, 225, 250, 251, 299, 365, 371]\n",
      "Nodes in community membership 62:\n",
      "[18, 33, 85, 116, 216, 278, 337, 381]\n",
      "Nodes in community membership 63:\n",
      "[3, 97, 103, 155, 187]\n",
      "---------------------------------------\n",
      "test1000 graph communities\n",
      "Nodes in community membership 1:\n",
      "[25, 30, 53, 74, 128, 148, 176, 191, 273, 285, 292, 335, 383, 412, 434, 445, 549, 551, 613, 628, 693, 775, 794, 816, 840, 966]\n",
      "Nodes in community membership 2:\n",
      "[11, 63, 123, 154, 190, 245, 260, 307, 353, 378, 396, 627, 633, 679, 704, 706, 825, 835, 900, 908, 944, 977]\n",
      "Nodes in community membership 3:\n",
      "[79, 88, 156, 162, 201, 227, 234, 278, 479, 542, 611, 689, 698, 735, 751, 766, 803, 860, 923, 941, 951]\n",
      "Nodes in community membership 4:\n",
      "[81, 158, 165, 166, 261, 277, 291, 326, 328, 343, 393, 406, 438, 459, 501, 535, 622, 655, 667, 675, 742, 747, 770, 787, 804, 836, 870, 874, 882]\n",
      "Nodes in community membership 5:\n",
      "[37, 49, 57, 86, 105, 120, 198, 281, 317, 468, 497, 521, 538, 541, 547, 557, 584, 586, 605, 608, 617, 671, 707, 730, 744, 774, 807, 975, 998]\n",
      "Nodes in community membership 6:\n",
      "[1, 117, 151, 183, 217, 233, 280, 282, 308, 439, 455, 578, 621, 657, 699, 733, 756, 761, 764, 842, 865, 869, 896, 902, 909, 919, 968, 991]\n",
      "Nodes in community membership 7:\n",
      "[55, 58, 92, 210, 336, 342, 463, 489, 533, 536, 570, 581, 615, 665, 668, 724, 748, 791, 806, 848, 913, 945]\n",
      "Nodes in community membership 8:\n",
      "[2, 24, 26, 64, 168, 209, 263, 387, 395, 523, 526, 590, 757, 759, 773, 777, 778, 811, 871, 893, 982]\n",
      "Nodes in community membership 9:\n",
      "[39, 56, 70, 77, 80, 150, 184, 248, 267, 303, 355, 362, 427, 452, 482, 525, 596, 666, 681, 690, 701, 784, 805, 863, 868, 930, 938, 947, 957]\n",
      "Nodes in community membership 10:\n",
      "[22, 60, 118, 144, 159, 178, 240, 257, 305, 322, 347, 357, 498, 539, 612, 702, 841, 864, 952, 960, 1000]\n",
      "Nodes in community membership 11:\n",
      "[32, 72, 94, 100, 147, 149, 155, 157, 169, 177, 223, 225, 242, 243, 262, 264, 333, 443, 548, 565, 618, 632, 645, 646, 716, 823, 873]\n",
      "Nodes in community membership 12:\n",
      "[5, 27, 69, 93, 112, 133, 224, 270, 309, 319, 361, 373, 380, 467, 502, 648, 683, 779, 817, 862, 969, 976, 992]\n",
      "Nodes in community membership 13:\n",
      "[43, 47, 103, 129, 164, 189, 236, 247, 301, 315, 363, 386, 390, 413, 433, 471, 491, 517, 532, 555, 560, 566, 824, 916, 925, 932, 972]\n",
      "Nodes in community membership 14:\n",
      "[28, 107, 116, 181, 231, 235, 241, 374, 381, 404, 422, 469, 507, 556, 592, 732, 760, 814, 818, 834, 845, 850, 890, 912, 974]\n",
      "Nodes in community membership 15:\n",
      "[46, 52, 76, 83, 108, 171, 306, 321, 388, 400, 402, 428, 572, 603, 626, 710, 727, 799, 843, 856, 859, 931, 937, 940, 950, 978]\n",
      "Nodes in community membership 16:\n",
      "[6, 54, 134, 194, 289, 358, 370, 376, 409, 437, 450, 451, 480, 511, 553, 604, 651, 653, 682, 767, 781, 792, 854, 926, 997]\n",
      "Nodes in community membership 17:\n",
      "[66, 127, 131, 230, 252, 268, 314, 345, 389, 436, 460, 495, 515, 564, 580, 623, 664, 734, 765, 768, 786, 793, 815, 832, 838, 857, 887, 949, 963]\n",
      "Nodes in community membership 18:\n",
      "[61, 71, 91, 97, 119, 122, 125, 143, 229, 359, 384, 477, 506, 625, 631, 680, 692, 703, 808, 812, 826, 847, 894, 958, 985]\n",
      "Nodes in community membership 19:\n",
      "[16, 101, 137, 185, 188, 192, 211, 221, 222, 286, 296, 318, 371, 446, 475, 490, 550, 562, 588, 589, 673, 696, 708, 722, 731, 837, 943, 959, 961, 962]\n",
      "Nodes in community membership 20:\n",
      "[15, 20, 31, 96, 106, 167, 205, 214, 246, 356, 377, 448, 516, 519, 540, 545, 583, 614, 624, 758, 851, 892, 907]\n",
      "Nodes in community membership 21:\n",
      "[67, 85, 195, 206, 302, 310, 340, 346, 348, 399, 407, 430, 440, 494, 543, 582, 600, 630, 635, 674, 705, 721, 769, 911, 922, 948, 987]\n",
      "Nodes in community membership 22:\n",
      "[23, 45, 62, 110, 200, 254, 256, 276, 297, 330, 337, 351, 367, 417, 441, 447, 510, 520, 528, 574, 602, 678, 728, 729, 736, 796, 876, 884, 953, 986]\n",
      "Nodes in community membership 23:\n",
      "[50, 212, 283, 354, 419, 426, 465, 561, 585, 639, 737, 788, 789, 797, 810, 915, 928, 936, 964, 965, 990]\n",
      "Nodes in community membership 24:\n",
      "[73, 95, 99, 115, 132, 152, 204, 215, 304, 327, 334, 418, 435, 486, 559, 569, 634, 660, 662, 663, 717, 741, 745, 844, 875, 905, 921, 934, 980, 999]\n",
      "Nodes in community membership 25:\n",
      "[82, 87, 90, 109, 113, 124, 130, 145, 172, 232, 288, 295, 341, 344, 364, 368, 382, 408, 456, 457, 481, 518, 573, 677, 714, 718, 783, 795, 830, 833, 858, 880, 988]\n",
      "Nodes in community membership 26:\n",
      "[7, 19, 180, 226, 266, 366, 372, 397, 398, 466, 473, 513, 524, 688, 691, 711, 738, 763, 809, 822, 861, 910, 939, 946, 979]\n",
      "Nodes in community membership 27:\n",
      "[35, 121, 186, 251, 316, 325, 352, 403, 420, 458, 485, 503, 571, 577, 607, 643, 684, 754, 942, 981]\n",
      "Nodes in community membership 28:\n",
      "[36, 42, 104, 138, 146, 160, 249, 323, 349, 405, 462, 483, 484, 508, 534, 597, 638, 676, 694, 719, 829, 831, 886, 901, 906, 918, 993]\n",
      "Nodes in community membership 29:\n",
      "[8, 12, 13, 89, 98, 175, 271, 284, 290, 350, 391, 449, 499, 500, 558, 637, 641, 743, 780, 839, 883, 927, 933, 935, 967, 984]\n",
      "Nodes in community membership 30:\n",
      "[41, 44, 182, 199, 311, 312, 410, 411, 425, 431, 453, 454, 464, 476, 616, 669, 725, 739, 752, 813, 866, 872, 891, 898, 903]\n",
      "Nodes in community membership 31:\n",
      "[21, 29, 228, 253, 279, 287, 324, 379, 414, 421, 423, 472, 504, 522, 527, 652, 685, 686, 753, 852]\n",
      "Nodes in community membership 32:\n",
      "[9, 78, 102, 135, 170, 237, 239, 265, 274, 293, 298, 332, 432, 461, 470, 478, 488, 496, 563, 567, 609, 762, 821, 828, 846, 855, 867, 924, 994]\n",
      "Nodes in community membership 33:\n",
      "[10, 38, 59, 111, 142, 173, 197, 207, 208, 219, 238, 294, 329, 392, 415, 424, 544, 546, 587, 640, 772, 849, 879, 889, 929, 955, 983, 995]\n",
      "Nodes in community membership 34:\n",
      "[3, 4, 14, 161, 174, 244, 250, 300, 338, 401, 416, 429, 444, 514, 594, 620, 654, 661, 712, 713, 746, 776, 785, 790, 798, 827, 904, 914, 954, 956]\n",
      "Nodes in community membership 35:\n",
      "[34, 51, 65, 75, 114, 153, 187, 196, 213, 269, 339, 365, 530, 537, 575, 576, 599, 644, 649, 658, 695, 720, 726, 740, 771, 853, 877, 899, 970, 971]\n",
      "Nodes in community membership 36:\n",
      "[68, 139, 179, 218, 259, 272, 320, 360, 487, 492, 493, 505, 579, 593, 595, 619, 636, 672, 687, 723, 750, 800, 802, 820, 878, 881, 888]\n",
      "Nodes in community membership 37:\n",
      "[17, 18, 40, 84, 202, 203, 299, 313, 331, 385, 442, 474, 529, 552, 568, 591, 606, 656, 670, 755, 917, 920, 973, 989]\n",
      "Nodes in community membership 38:\n",
      "[33, 126, 163, 193, 220, 258, 275, 509, 512, 531, 610, 647, 650, 659, 700, 782, 801, 819, 897, 996]\n",
      "Nodes in community membership 39:\n",
      "[48, 136, 140, 141, 216, 255, 369, 375, 394, 554, 598, 601, 629, 642, 697, 709, 715, 749, 885, 895]\n",
      "Nodes in community membership 40:\n",
      "[1, 2, 4, 6, 7, 8, 9, 13, 14, 19, 25, 31, 34, 39, 46, 49, 55, 59, 60, 61, 62, 65, 66, 67, 68, 69, 70, 77, 78, 81, 82, 83, 87, 89, 92, 93, 94, 96, 97, 99, 101, 102, 103, 105, 107, 111, 116, 118, 124, 126, 131, 132, 133, 139, 143, 146, 147, 149, 157, 158, 167, 172, 174, 176, 179, 180, 182, 183, 184, 191, 193, 199, 204, 205, 208, 209, 211, 213, 215, 217, 220, 221, 223, 227, 232, 234, 235, 236, 238, 240, 241, 244, 245, 254, 255, 256, 260, 261, 262, 263, 267, 268, 269, 271, 272, 275, 277, 279, 280, 283, 287, 289, 293, 298, 299, 302, 303, 304, 310, 311, 314, 315, 316, 318, 319, 321, 323, 325, 326, 327, 328, 332, 333, 334, 335, 336, 346, 349, 353, 356, 359, 360, 361, 362, 364, 366, 367, 368, 371, 372, 374, 375, 377, 382, 383, 385, 386, 390, 392, 397, 399, 402, 403, 404, 407, 409, 410, 413, 417, 421, 423, 428, 429, 435, 436, 437, 438, 441, 445, 446, 448, 449, 450, 454, 455, 456, 457, 462, 464, 465, 468, 469, 470, 471, 475, 476, 477, 480, 481, 484, 486, 489, 494, 495, 497, 501, 503, 504, 508, 509, 511, 514, 518, 520, 521, 522, 523, 524, 525, 527, 532, 533, 535, 536, 537, 538, 540, 541, 544, 545, 546, 548, 554, 565, 576, 579, 582, 584, 585, 587, 591, 595, 596, 597, 602, 604, 605, 606, 609, 610, 611, 612, 614, 616, 618, 621, 622, 623, 638, 640, 643, 644, 647, 648, 650, 651, 656, 657, 660, 664, 665, 666, 668, 670, 673, 674, 678, 679, 684, 685, 686, 687, 689, 692, 694, 696, 703, 704, 705, 707, 709, 710, 712, 715, 717, 718, 720, 722, 724, 729, 731, 732, 735, 736, 738, 739, 742, 744, 745, 746, 749, 750, 754, 756, 757, 763, 765, 766, 769, 770, 771, 776, 777, 778, 779, 780, 782, 785, 787, 788, 789, 804, 805, 806, 807, 812, 815, 816, 819, 823, 825, 826, 829, 830, 835, 837, 838, 847, 849, 851, 852, 853, 854, 861, 863, 864, 867, 870, 871, 874, 877, 878, 880, 888, 889, 892, 893, 895, 901, 904, 905, 909, 911, 914, 917, 919, 920, 923, 924, 925, 930, 932, 933, 938, 941, 942, 944, 945, 949, 950, 951, 955, 958, 961, 962, 963, 964, 967, 969, 973, 977, 986, 987, 992, 994, 995, 996, 998]\n",
      "Nodes in community membership 41:\n",
      "[11, 12, 15, 17, 18, 20, 22, 26, 29, 30, 37, 38, 41, 43, 44, 52, 53, 56, 57, 63, 74, 75, 80, 85, 90, 91, 95, 98, 104, 106, 112, 113, 114, 115, 117, 119, 120, 122, 123, 125, 128, 129, 130, 136, 137, 141, 144, 148, 152, 154, 156, 160, 162, 163, 166, 168, 169, 171, 175, 177, 187, 188, 189, 196, 198, 200, 201, 203, 210, 212, 222, 226, 229, 233, 242, 243, 248, 250, 252, 257, 258, 270, 274, 276, 282, 285, 286, 288, 295, 300, 305, 308, 320, 324, 331, 338, 339, 340, 341, 342, 343, 345, 347, 348, 351, 355, 365, 370, 376, 378, 379, 381, 384, 387, 389, 391, 393, 394, 396, 398, 406, 411, 415, 416, 422, 426, 427, 432, 434, 439, 444, 447, 458, 460, 461, 467, 473, 482, 483, 490, 491, 496, 502, 505, 506, 510, 512, 513, 515, 516, 526, 530, 534, 547, 549, 550, 551, 552, 553, 556, 558, 560, 561, 563, 566, 567, 568, 569, 570, 571, 572, 574, 575, 577, 583, 586, 588, 590, 592, 601, 603, 613, 617, 619, 624, 625, 628, 629, 630, 631, 632, 634, 637, 639, 641, 649, 652, 655, 659, 661, 671, 677, 683, 690, 693, 698, 699, 701, 702, 708, 713, 714, 723, 725, 728, 737, 741, 743, 748, 752, 753, 755, 762, 768, 775, 781, 783, 786, 790, 792, 798, 799, 803, 808, 809, 810, 813, 817, 818, 820, 821, 822, 824, 827, 828, 832, 833, 839, 841, 843, 844, 845, 846, 859, 868, 869, 879, 881, 883, 884, 885, 886, 887, 890, 891, 898, 902, 903, 908, 910, 912, 913, 918, 921, 926, 928, 929, 935, 936, 937, 939, 943, 946, 948, 952, 956, 957, 968, 970, 974, 976, 980, 982, 983, 984, 989, 999, 1000]\n",
      "Nodes in community membership 42:\n",
      "[3, 5, 10, 16, 21, 23, 24, 27, 28, 32, 33, 35, 36, 40, 42, 45, 47, 48, 50, 51, 54, 58, 64, 71, 72, 73, 76, 79, 84, 86, 88, 100, 108, 109, 110, 121, 127, 134, 135, 138, 140, 142, 145, 150, 151, 153, 155, 159, 161, 164, 165, 170, 173, 178, 181, 185, 186, 190, 192, 194, 195, 197, 202, 206, 207, 214, 216, 218, 219, 224, 225, 228, 230, 231, 237, 239, 246, 247, 249, 251, 253, 259, 264, 265, 266, 273, 278, 281, 284, 290, 291, 292, 294, 296, 297, 301, 306, 307, 309, 312, 313, 317, 322, 329, 330, 337, 344, 350, 352, 354, 357, 358, 363, 369, 373, 380, 388, 395, 400, 401, 405, 408, 412, 414, 418, 419, 420, 424, 425, 430, 431, 433, 440, 442, 443, 451, 452, 453, 459, 463, 466, 472, 474, 478, 479, 485, 487, 488, 492, 493, 498, 499, 500, 507, 517, 519, 528, 529, 531, 539, 542, 543, 555, 557, 559, 562, 564, 573, 578, 580, 581, 589, 593, 594, 598, 599, 600, 607, 608, 615, 620, 626, 627, 633, 635, 636, 642, 645, 646, 653, 654, 658, 662, 663, 667, 669, 672, 675, 676, 680, 681, 682, 688, 691, 695, 697, 700, 706, 711, 716, 719, 721, 726, 727, 730, 733, 734, 740, 747, 751, 758, 759, 760, 761, 764, 767, 772, 773, 774, 784, 791, 793, 794, 795, 796, 797, 800, 801, 802, 811, 814, 831, 834, 836, 840, 842, 848, 850, 855, 856, 857, 858, 860, 862, 865, 866, 872, 873, 875, 876, 882, 894, 896, 897, 899, 900, 906, 907, 915, 916, 922, 927, 931, 934, 940, 947, 953, 954, 959, 960, 965, 966, 971, 972, 975, 978, 979, 981, 985, 988, 990, 991, 993, 997]\n",
      "---------------------------------------\n"
     ]
    }
   ],
   "source": [
    "for i in range(len(gs)):\n",
    "    print(\"%s graph communities\" % gnames[i])\n",
    "    for j in range(len(com_A[i])):\n",
    "        print(\"Nodes in community membership %d:\" % (j + 1))\n",
    "        print(com_A[i][j])\n",
    "    print(sprtr)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
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      "---------------------------------------\n",
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      "---------------------------------------\n"
     ]
    }
   ],
   "source": [
    "ratio_A_A = []\n",
    "for i in range(len(gs)):\n",
    "    r_A_A = seq_match(com_A[i], com_A[i])\n",
    "    print(r_A_A)\n",
    "    print(sprtr)\n",
    "    ratio_A_A.append(r_A_A)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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Jbq2q01X120n+JMnPV9XXkvz89scA8JS18UR3GGO8ccH/Otq8BQBmy3dKAoAGggoADQQVABoIKgA0EFQAaCCoANBAUAGggaACQANBBYAGggoADQQVABoIKgA0EFQAaCCoANBAUAGgQY0x9u5gVWeS3N/4kJtJzjY+3lOJc7c85255zt3ynLvldZ+7540xrr/0xj0NareqOjHGODL1jjly7pbn3C3PuVuec7e8vTp3nvIFgAaCCgAN5h7Uu6YeMGPO3fKcu+U5d8tz7pa3J+du1q+hAsC6mPsVKgCshVkGtapeV1X/XFVfr6o7p94zF1V1c1X9XVWdrKr7quotU2+am6raV1X3VtUnpt4yJ1V1bVXdXVX/tP377xVTb5qLqnrb9p/Xr1TVh6vqyqk3rbOqek9VPVRVX3nMbT9RVZ+pqq9tv73uchx7dkGtqn1J/jLJLyS5Lckbq+q2aVfNxoUkfzjGeHGSlyf5Xedu196S5OTUI2boL5J8aozxk0l+Os7hk1JVh5P8QZIjY4yfSrIvyRumXbX23pfkdZfcdmeSY2OMW5Ic2/643eyCmuRnk3x9jPGNMca5JB9JcvvEm2ZhjPHgGOOe7fe/k4t/qR2edtV8VNVNSX4pybum3jInVXUoyauTvDtJxhjnxhj/Ne2qWdlI8vSq2khyMMkDE+9Za2OMf0jyH5fcfHuS92+///4kr78cx55jUA8nOfWYj09HFHatqp6f5CVJjk+7ZFb+PMkfJfnR1ENm5oVJziR57/bT5e+qqqumHjUHY4xvJXlnkm8meTDJw2OMT0+7apZuGGM8mFy8sEjyrMtxkDkGtR7nNp+qvAtV9YwkH03y1jHGI1PvmYOq+uUkD40xvjj1lhnaSPLSJH81xnhJku/mMj3l9uNm+7W+25O8IMmNSa6qqjdNu4pF5hjU00lufszHN8VTIE9aVe3PxZh+aIzxsan3zMirkvxKVf1rLr7M8Jqq+uC0k2bjdJLTY4z/fTbk7lwMLE/stUn+ZYxxZoxxPsnHkrxy4k1z9O2qek6SbL996HIcZI5B/UKSW6rqBVV1IBdfoP/4xJtmoaoqF1/HOjnG+NOp98zJGOPtY4ybxhjPz8Xfc58dY7hSeBLGGP+W5FRV3bp909EkX51w0px8M8nLq+rg9p/fo/EJXcv4eJI3b7//5iR/czkOsnE5HvRyGmNcqKrfS/K3ufgZb+8ZY9w38ay5eFWSX0/y5ar60vZtfzzG+OSEm3hq+P0kH9r+R/A3kvzWxHtmYYxxvKruTnJPLn6W/r3xHZN2VFUfTvJzSTar6nSSdyT5kyR/XVW/nYv/SPm1y3Js3ykJAFY3x6d8AWDtCCoANBBUAGggqADQQFABoIGgAkADQQWABoIKAA3+B0AW94OdkitNAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<Figure size 576x576 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Similarity between two clusters by Sequence for test75 graph\n",
      "Non-zero values average: 0.539962\n",
      "---------------------------------------\n"
     ]
    },
    {
     "data": {
      "image/png": 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5cYUKAA0EFQAaCCoANBBUAGggqADQQFABoIGgAkADQQWABoIKAA0EFQAaCCoANBBUAGggqADQQFABoIGgAkADQQWABoIKAA0EFQAaCCoANBBUAGggqADQQFABoIGgAkADQQWABoIKAA0EFQAaCCoANBBUAGggqADQQFABoIGgAkADQQWABoIKAA0EFQAaCCoANKgxxs4drOp4kh83fKr9SU40fJ6nK+fn3Jyjs3N+zs05Orun8/m5ZoxxxZk37mhQu1TV4THG6tQ7FpXzc27O0dk5P+fmHJ3dhXh+POQLAA0EFQAaLGtQb5p6wIJzfs7NOTo75+fcnKOzu+DOz1J+DxUAFs2yXqECwEJZqqBW1euq6rtV9f2qunHqPYumqq6uqn+vqiNVdWdVvW/qTYuoqnZV1e1V9S9Tb1lEVXV5Vd1cVXdvfi29cupNi6SqPrD5++uOqvpCVV089aapVdVnquq+qrrjMbftq6qvVdX3Nt8+e8qNO2FpglpVu5J8MsmfJnlxkrdW1YunXbVwTib54Bjj95K8IslfOUeP631Jjkw9YoF9Ism/jjF+N8nvx7n6f1V1IMl7k6yOMV6SZFeSt0y7aiH8Y5LXnXHbjUnWxxgvSrK++fHT2tIENckfJvn+GOMHY4xHk3wxyfUTb1ooY4xjY4zbNt9/KKf/R3hg2lWLpaquSvKGJJ+eessiqqrLkrw6yd8nyRjj0THGA9OuWji7k1xSVbuT7E1yz8R7JjfG+EaS+8+4+fokn918/7NJ3ryjoyawTEE9kOSnj/n4aMTiCVXVtUlenuTWaZcsnL9L8qEkp6YesqBemOR4kn/YfFj801X1jKlHLYoxxs+SfDzJT5IcS/KLMcZXp121sH5njHEsOf2H/STPmXjPU26ZglqPc5unKD+Oqro0yZeSvH+M8eDUexZFVb0xyX1jjG9NvWWB7U5yMMmnxhgvT/LLXAAP1Z2vze8DXp/kBUmel+QZVfW2aVexKJYpqEeTXP2Yj6+Kh1q2qKqVnI7p58cYX556z4J5VZI3VdWPcvpbBq+pqs9NO2nhHE1ydIzxf49s3JzTgeW01yb54Rjj+BhjI8mXk/zRxJsW1b1VdWWSbL69b+I9T7llCuo3k7yoql5QVRfl9BMBvjLxpoVSVZXT3/s6Msb426n3LJoxxofHGFeNMa7N6a+fr48xXF08xhjj50l+WlXXbd50KMldE05aND9J8oqq2rv5++1QPGnriXwlyTs2339Hkn+ecMuO2D31gPM1xjhZVe9O8m85/cy6z4wx7px41qJ5VZK3J/lOVX1787a/HmPcMuEmls97knx+8w+uP0jyzon3LIwxxq1VdXOS23L6WfW35wL8iUBnqqovJPnjJPur6miSjyb5WJJ/qqp35fQfRP58uoU7w09KAoAGy/SQLwAsLEEFgAaCCgANBBUAGggqADQQVABoIKgA0EBQAaDB/wKhwA+wr0LfcQAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<Figure size 576x576 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Similarity between two clusters by Sequence for test100 graph\n",
      "Non-zero values average: 0.576846\n",
      "---------------------------------------\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 576x576 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Similarity between two clusters by Sequence for test400 graph\n",
      "Non-zero values average: 0.408561\n",
      "---------------------------------------\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 576x576 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Similarity between two clusters by Sequence for test1000 graph\n",
      "Non-zero values average: 0.817712\n",
      "---------------------------------------\n"
     ]
    }
   ],
   "source": [
    "avg_A_A = []\n",
    "for i in range(len(gs)):\n",
    "    plt.figure(figsize=(8,8))\n",
    "    plt.imshow(ratio_A_A[i], cmap=plt.cm.Purples, interpolation='nearest')\n",
    "    plt.show()\n",
    "    a_A_A = nonzeroavg(ratio_A_A[i])\n",
    "    print(\"Similarity between two clusters by Sequence for %s graph\" % gnames[i])\n",
    "    print(\"Non-zero values average: %f\" % a_A_A)\n",
    "    print(sprtr)\n",
    "    avg_A_A.append(a_A_A)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Number of communities in test75 graph: 5\n",
      "Labelprop Communities:\n",
      "[[1, 6, 8, 15, 16, 17, 20, 21, 24, 28, 37, 43, 45, 46, 47, 50, 51, 52, 55, 57, 59, 60, 62, 63, 64, 70, 75], [2, 19, 39, 53, 56, 65, 66], [3, 4, 7, 11, 12, 13, 25, 31, 32, 33, 40, 44, 49, 71, 72], [5, 9, 10, 14, 23, 26, 27, 29, 30, 35, 36, 38, 48, 54, 58, 61, 69, 73, 74], [18, 22, 34, 41, 42, 67, 68]]\n",
      "[[0.192, 0.062, 0.4, 0.5, 0.0], [0.577, 0.188, 0.15, 0.136, 0.062], [0.269, 0.188, 0.2, 0.227, 0.375], [0.0, 0.0, 0.0, 0.848, 0.0], [0.114, 0.0, 0.0, 0.0, 0.8], [0.0, 0.933, 0.0, 0.074, 0.0], [0.125, 0.0, 0.2, 0.083, 0.0], [0.176, 0.0, 0.273, 0.077, 0.0], [0.711, 0.0, 0.121, 0.0, 0.0], [0.054, 0.0, 0.64, 0.0, 0.118], [0.188, 0.0, 0.0, 0.167, 0.0]]\n"
     ]
    },
    {
     "data": {
      "image/png": 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6TbPv9Z/r/flI16PmeJekx23/h2bfCe+uqvP+LYtU/IQQEGrZXTmBYUGcQCjiBEIRJxCKOIFQxAmEIk4gFHECof4PrGiOnGGNUCgAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<Figure size 576x576 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Non-zero values average: 0.409722\n",
      "---------------------------------------\n",
      "Number of communities in test100 graph: 5\n",
      "Labelprop Communities:\n",
      "[[1, 12, 25, 27, 39, 42, 44, 46, 62, 63, 78, 80, 84, 86, 92, 99, 100], [2, 3, 4, 5, 7, 11, 14, 15, 16, 17, 18, 20, 21, 23, 28, 30, 31, 33, 35, 37, 38, 47, 48, 49, 50, 52, 54, 55, 57, 58, 59, 60, 61, 64, 65, 66, 67, 72, 73, 74, 75, 76, 77, 79, 81, 82, 83, 85, 87, 88, 89, 90, 91, 93, 94, 95, 96, 97, 98], [6, 8, 10, 13, 19, 22, 24, 34, 41, 45, 56, 70], [9, 26, 29, 40, 43], [32, 36, 51, 53, 68, 69, 71]]\n",
      "[[0.047, 0.353, 0.368, 0.129, 0.061], [0.698, 0.212, 0.053, 0.065, 0.0], [0.049, 0.482, 0.111, 0.0, 0.065], [0.0, 0.361, 0.111, 0.138, 0.323], [0.0, 0.0, 0.588, 0.0, 0.0], [0.105, 0.475, 0.0, 0.0, 0.0], [0.455, 0.0, 0.0, 0.0, 0.0], [0.0, 0.0, 0.0, 0.0, 1.0], [0.345, 0.62, 0.0, 0.0, 0.0], [0.0, 0.0, 0.737, 0.0, 0.0], [0.0, 0.265, 0.0, 0.0, 0.0], [0.0, 0.0, 0.0, 1.0, 0.0]]\n"
     ]
    },
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 576x576 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Non-zero values average: 0.467529\n",
      "---------------------------------------\n",
      "Number of communities in test400 graph: 14\n",
      "Labelprop Communities:\n",
      "[[1, 4, 6, 21, 22, 24, 28, 35, 38, 42, 43, 44, 68, 78, 88, 93, 94, 95, 105, 108, 113, 145], [2, 8, 32, 62, 92, 121, 122, 127, 139, 140, 152, 214, 216, 243, 245, 248, 261, 267, 281, 289, 290, 298, 300, 303, 308, 312, 327], [3, 49, 84, 106, 109, 168, 196, 205, 215, 241, 252, 255, 262, 263, 283, 311, 318, 320, 328, 329, 336, 338, 339, 340, 341, 353, 354, 366], [5, 9, 27, 30, 37, 45, 50, 54, 58, 65, 69, 74, 76, 77, 80, 81, 90, 97, 99, 103, 133, 162], [7, 12, 13, 29, 47, 48, 51, 52, 75, 100, 104, 107, 110, 111, 131, 132, 149, 160, 166, 173, 174, 180, 190, 201, 208, 209, 212, 217, 221, 222, 231, 236, 266, 271, 274, 275, 278, 293, 294, 295, 296, 297, 315, 317, 319, 324, 330, 331, 332, 334, 343, 356, 364], [10, 16, 19, 36, 41, 46, 55, 57, 63, 67, 70, 79, 101, 128, 130, 141, 142, 154, 156, 163, 165, 185, 195], [11, 33, 61, 72, 86, 87, 96, 102, 115, 118, 119, 136, 164, 167, 170, 171, 178, 181, 193, 194, 197, 198, 203, 220], [14, 26, 39, 40, 53, 66, 89, 125, 144, 148, 175, 184, 186, 189, 191, 192, 206, 207, 224, 226, 228, 247, 269, 270, 284, 309], [15, 18, 59, 71, 73, 91, 112, 126, 129, 138, 151, 153, 157, 161, 169, 172, 176, 177, 179, 183, 188, 211, 218, 219], [17, 60, 120, 147, 159, 213, 223, 229, 246, 253, 254, 257, 268, 276, 277, 282, 286, 305, 321, 322, 325, 337, 348, 350, 358, 359, 360, 370], [20, 56, 116, 124, 143, 146, 155, 158, 182, 204, 210, 227, 230, 235, 238, 239, 240, 259, 279, 280, 285, 287, 288, 291, 306, 314, 316], [23, 85, 123, 137, 150, 187, 199, 200, 237, 244, 250, 251, 260, 265, 301, 302, 307, 313, 323, 326, 333, 335, 342, 344, 345, 349, 367, 373], [25, 31, 34, 64, 82, 83, 98, 114, 117, 134, 135, 202, 225, 232, 233, 234, 242, 249, 256, 258, 264, 272, 273, 292, 299, 304, 310], [346, 347, 351, 352, 355, 357, 361, 362, 363, 365, 368, 369, 371, 372, 374, 375, 376, 377, 378, 379, 380, 381, 382, 383, 384, 385, 386, 387, 388, 389, 390, 391, 392, 393, 394, 395, 396, 397, 398, 399, 400]]\n",
      "[[0.0, 0.0, 0.0, 0.0, 0.691, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 1.0, 0.0], [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], [0.0, 0.0, 1.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0], [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, 0.0, 0.0], [0.0, 1.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, 0.0], [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 1.0], [0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], [1.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], [0.0, 0.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], [0.0, 0.0, 0.0, 0.0, 0.641, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0], [0.0, 0.108, 0.0, 0.125, 0.063, 0.0, 0.0, 0.056, 0.0, 0.105, 0.054, 0.0, 0.0, 0.0], [0.125, 0.054, 0.105, 0.062, 0.0, 0.0, 0.0, 0.056, 0.059, 0.0, 0.0, 0.105, 0.0, 0.0], [0.0, 0.0, 0.0, 0.065, 0.032, 0.0, 0.182, 0.057, 0.0, 0.0, 0.056, 0.0, 0.056, 0.04], [0.0, 0.057, 0.111, 0.067, 0.0, 0.0, 0.0, 0.059, 0.062, 0.056, 0.0, 0.0, 0.0, 0.041], [0.067, 0.0, 0.0, 0.0, 0.033, 0.065, 0.0, 0.118, 0.0, 0.056, 0.057, 0.0, 0.0, 0.041], [0.0, 0.0, 0.051, 0.0, 0.031, 0.059, 0.0, 0.054, 0.0, 0.0, 0.0, 0.051, 0.263, 0.038], [0.0, 0.118, 0.0, 0.0, 0.033, 0.0, 0.0, 0.061, 0.0, 0.0, 0.059, 0.057, 0.059, 0.0], [0.0, 0.0, 0.15, 0.0, 0.0, 0.057, 0.056, 0.053, 0.056, 0.15, 0.0, 0.05, 0.0, 0.038], [0.0, 0.0, 0.0, 0.0, 0.123, 0.0, 0.056, 0.053, 0.056, 0.15, 0.0, 0.0, 0.0, 0.075], [0.0, 0.0, 0.061, 0.0, 0.034, 0.0, 0.0, 0.0, 0.069, 0.0, 0.0, 0.0, 0.125, 0.0], [0.0, 0.062, 0.061, 0.074, 0.0, 0.0, 0.0, 0.0, 0.0, 0.061, 0.062, 0.0, 0.0, 0.0], [0.0, 0.053, 0.0, 0.0, 0.125, 0.0, 0.0, 0.054, 0.0, 0.051, 0.0, 0.051, 0.053, 0.077], [0.0, 0.0, 0.0, 0.0, 0.032, 0.125, 0.0, 0.114, 0.061, 0.0, 0.056, 0.0, 0.0, 0.08], [0.0, 0.0, 0.0, 0.074, 0.0, 0.0, 0.138, 0.129, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], [0.118, 0.051, 0.15, 0.0, 0.0, 0.114, 0.0, 0.0, 0.0, 0.05, 0.0, 0.05, 0.051, 0.038], [0.121, 0.158, 0.0, 0.0, 0.031, 0.0, 0.057, 0.0, 0.0, 0.051, 0.053, 0.051, 0.053, 0.0], [0.074, 0.062, 0.0, 0.0, 0.034, 0.0, 0.0, 0.0, 0.069, 0.061, 0.0, 0.0, 0.0, 0.0], [0.062, 0.0, 0.0, 0.0, 0.032, 0.0, 0.118, 0.0, 0.059, 0.0, 0.108, 0.053, 0.0, 0.078], [0.061, 0.0, 0.0, 0.061, 0.125, 0.0, 0.057, 0.0, 0.0, 0.0, 0.053, 0.0, 0.053, 0.077], [0.0, 0.0, 0.0, 0.118, 0.0, 0.057, 0.111, 0.0, 0.111, 0.0, 0.103, 0.1, 0.0, 0.038], [0.065, 0.0, 0.054, 0.0, 0.0, 0.062, 0.0, 0.114, 0.0, 0.0, 0.0, 0.108, 0.0, 0.08], [0.125, 0.0, 0.0, 0.062, 0.032, 0.061, 0.0, 0.0, 0.0, 0.0, 0.0, 0.105, 0.054, 0.078], [0.0, 0.0, 0.0, 0.069, 0.067, 0.0, 0.0, 0.061, 0.0, 0.0, 0.059, 0.057, 0.059, 0.0], [0.0, 0.057, 0.0, 0.067, 0.066, 0.0, 0.0, 0.0, 0.062, 0.0, 0.057, 0.111, 0.0, 0.0], [0.0, 0.0, 0.0, 0.0, 0.034, 0.0, 0.0, 0.062, 0.067, 0.059, 0.0, 0.059, 0.061, 0.0], [0.062, 0.108, 0.053, 0.0, 0.032, 0.061, 0.0, 0.0, 0.0, 0.0, 0.108, 0.0, 0.054, 0.039], [0.0, 0.0, 0.054, 0.0, 0.0, 0.062, 0.0, 0.0, 0.121, 0.0, 0.0, 0.0, 0.056, 0.16], [0.0, 0.111, 0.054, 0.0, 0.065, 0.0, 0.0, 0.057, 0.061, 0.054, 0.0, 0.0, 0.0, 0.04], [0.0, 0.0, 0.059, 0.0, 0.102, 0.069, 0.0, 0.0, 0.0, 0.059, 0.0, 0.0, 0.0, 0.0], [0.074, 0.0, 0.0, 0.148, 0.0, 0.071, 0.0, 0.065, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], [0.074, 0.0, 0.0, 0.074, 0.069, 0.0, 0.0, 0.0, 0.0, 0.061, 0.0, 0.0, 0.0, 0.0], [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.133, 0.0, 0.133, 0.059, 0.0, 0.0, 0.0, 0.043], [0.0, 0.0, 0.059, 0.0, 0.034, 0.069, 0.0, 0.062, 0.0, 0.059, 0.0, 0.059, 0.0, 0.0], [0.0, 0.0, 0.103, 0.061, 0.062, 0.0, 0.114, 0.0, 0.057, 0.051, 0.053, 0.0, 0.053, 0.0], [0.0, 0.0, 0.053, 0.062, 0.032, 0.061, 0.0, 0.0, 0.0, 0.0, 0.108, 0.053, 0.108, 0.039], [0.138, 0.059, 0.0, 0.0, 0.0, 0.0, 0.065, 0.061, 0.0, 0.057, 0.0, 0.0, 0.059, 0.0], [0.0, 0.0, 0.0, 0.0, 0.098, 0.065, 0.0, 0.0, 0.0, 0.0, 0.114, 0.0, 0.0, 0.082], [0.067, 0.057, 0.056, 0.0, 0.066, 0.065, 0.0, 0.059, 0.0, 0.0, 0.0, 0.0, 0.0, 0.041], [0.059, 0.051, 0.05, 0.059, 0.062, 0.057, 0.0, 0.053, 0.0, 0.1, 0.051, 0.05, 0.0, 0.0], [0.0, 0.125, 0.121, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.062, 0.0], [0.071, 0.0, 0.0, 0.0, 0.0, 0.0, 0.067, 0.0, 0.067, 0.0, 0.061, 0.059, 0.061, 0.0], [0.0, 0.0, 0.0, 0.0, 0.0, 0.069, 0.133, 0.0, 0.067, 0.0, 0.0, 0.059, 0.061, 0.0], [0.0, 0.118, 0.0, 0.069, 0.033, 0.0, 0.0, 0.0, 0.065, 0.057, 0.0, 0.0, 0.0, 0.042], [0.0, 0.0, 0.054, 0.0, 0.0, 0.062, 0.061, 0.057, 0.061, 0.0, 0.056, 0.0, 0.0, 0.12], [0.065, 0.056, 0.0, 0.0, 0.032, 0.062, 0.061, 0.0, 0.0, 0.054, 0.056, 0.0, 0.0, 0.08], [0.0, 0.0, 0.0, 0.0, 0.063, 0.061, 0.0, 0.0, 0.059, 0.0, 0.0, 0.105, 0.108, 0.078], [0.0, 0.057, 0.0, 0.0, 0.033, 0.0, 0.062, 0.0, 0.062, 0.056, 0.057, 0.056, 0.0, 0.041], [0.0, 0.0, 0.061, 0.148, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.062, 0.061, 0.0, 0.0]]\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 576x576 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Non-zero values average: 0.216915\n",
      "---------------------------------------\n",
      "Number of communities in test1000 graph: 53\n",
      "Labelprop Communities:\n",
      "[[1, 117, 146, 151, 183, 217, 233, 280, 282, 308, 439, 455, 578, 621, 657, 699, 733, 756, 761, 764, 842, 865, 869, 896, 902, 909, 919, 968, 991], [2, 24, 26, 55, 58, 64, 79, 88, 92, 156, 162, 168, 201, 209, 210, 227, 234, 263, 278, 336, 342, 387, 395, 463, 479, 489, 523, 526, 533, 536, 542, 570, 581, 590, 611, 615, 665, 668, 689, 698, 724, 735, 748, 751, 757, 759, 766, 773, 777, 778, 791, 803, 806, 811, 848, 860, 871, 893, 913, 923, 941, 945, 951, 982], [3, 4, 14, 161, 174, 244, 250, 300, 338, 401, 416, 429, 444, 514, 594, 620, 654, 661, 712, 713, 746, 776, 785, 790, 798, 827, 904, 914, 954, 956], [5, 112, 319, 361, 373, 380, 502, 779, 817, 969, 976], [6, 376, 409, 553, 653, 682, 781, 792, 854], [7, 19, 180, 226, 266, 366, 372, 397, 398, 466, 473, 513, 524, 688, 691, 711, 738, 763, 809, 822, 861, 910, 939, 946, 979], [8, 12, 13, 16, 89, 98, 101, 137, 175, 185, 211, 222, 271, 272, 284, 290, 318, 350, 371, 391, 446, 449, 475, 490, 499, 500, 550, 558, 637, 641, 673, 722, 731, 743, 780, 837, 839, 883, 927, 933, 935, 943, 961, 967, 984], [9, 78, 102, 135, 170, 237, 239, 265, 274, 293, 298, 332, 432, 461, 470, 478, 488, 496, 563, 567, 609, 762, 821, 828, 846, 855, 867, 924, 994], [10, 33, 38, 59, 111, 126, 142, 163, 173, 193, 197, 207, 208, 219, 220, 238, 258, 275, 294, 329, 392, 415, 424, 509, 512, 531, 544, 546, 587, 610, 640, 647, 650, 659, 700, 772, 782, 801, 819, 849, 879, 889, 897, 929, 955, 983, 995, 996], [11, 190, 245, 370, 378, 396, 706, 900, 908, 944], [15, 31, 106, 167, 356, 448, 516, 540, 545, 892], [17, 18, 40, 84, 202, 203, 299, 313, 331, 385, 442, 474, 529, 552, 568, 591, 606, 656, 670, 755, 917, 920, 973, 989], [20, 35, 96, 121, 186, 205, 214, 246, 251, 325, 377, 420, 503, 519, 577, 583, 607, 614, 624, 684, 758, 851, 907, 981], [21, 324, 379, 527, 685, 852], [22, 60, 118, 144, 159, 178, 240, 257, 305, 322, 347, 357, 498, 539, 612, 702, 841, 864, 952, 960, 1000], [23, 45, 62, 110, 200, 254, 256, 276, 297, 330, 337, 351, 367, 417, 441, 447, 510, 520, 528, 574, 602, 678, 728, 729, 736, 796, 876, 884, 953, 986], [25, 30, 50, 53, 74, 128, 148, 176, 191, 212, 273, 283, 285, 292, 335, 354, 383, 412, 419, 426, 434, 445, 465, 549, 551, 561, 585, 613, 628, 639, 693, 737, 775, 788, 789, 794, 797, 810, 816, 840, 915, 928, 936, 964, 965, 966, 990], [27, 69, 93, 133, 224, 270, 309, 467, 648, 683, 862, 992], [28, 107, 181, 231, 235, 422, 469, 556, 592, 732, 845, 890, 912, 974], [29, 228, 253, 279, 287, 414, 421, 423, 472, 504, 522, 652, 686, 753], [32, 72, 94, 100, 147, 149, 155, 157, 169, 177, 223, 225, 242, 243, 262, 264, 333, 341, 443, 548, 565, 618, 632, 645, 646, 716, 823, 873], [34, 75, 530, 644, 649, 853], [36, 42, 104, 138, 160, 323, 508, 534, 901, 906, 918], [37, 49, 57, 105, 120, 198, 281, 468, 497, 538, 541, 586, 617, 671, 730, 744, 774, 998], [39, 56, 70, 77, 80, 150, 184, 248, 267, 303, 355, 358, 362, 427, 452, 482, 525, 596, 666, 681, 690, 701, 784, 805, 863, 868, 930, 938, 947, 957], [41, 44, 182, 311, 312, 410, 411, 425, 454, 464, 476, 616, 669, 725, 739, 752, 813, 866, 872, 891, 898, 903], [43, 47, 103, 129, 164, 189, 236, 247, 301, 315, 363, 386, 390, 413, 433, 471, 487, 491, 517, 532, 555, 560, 566, 800, 824, 916, 925, 932, 972], [46, 52, 76, 83, 108, 171, 306, 321, 388, 400, 402, 428, 572, 603, 626, 710, 727, 799, 843, 856, 859, 931, 937, 940, 950, 978], [48, 136, 140, 141, 216, 255, 369, 375, 394, 554, 598, 601, 629, 642, 697, 709, 715, 749, 885, 895], [51, 65, 114, 153, 187, 196, 213, 269, 339, 365, 505, 537, 575, 576, 599, 658, 695, 720, 726, 740, 771, 877, 899, 970, 971], [54, 194, 289, 480, 604, 651, 997], [61, 71, 91, 97, 119, 122, 125, 143, 229, 320, 359, 384, 477, 506, 625, 631, 680, 692, 703, 808, 812, 826, 847, 894, 958, 985], [63, 123, 154, 307, 627, 633, 704, 825, 977], [66, 127, 131, 230, 252, 268, 314, 345, 389, 436, 460, 495, 515, 564, 580, 623, 664, 734, 765, 768, 786, 793, 815, 832, 838, 857, 887, 949, 963], [67, 68, 85, 195, 206, 302, 310, 340, 346, 348, 399, 407, 430, 440, 494, 543, 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\n",
      "text/plain": [
       "<Figure size 576x576 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Non-zero values average: 0.596390\n",
      "---------------------------------------\n"
     ]
    }
   ],
   "source": [
    "ratio_A_labelprop, avg_A_labelprop = [], []\n",
    "for i in range(len(gs)):\n",
    "    com_labelprop = get_comms(gs[i], \"comm_labelprop\")\n",
    "    print(\"Number of communities in %s graph: %s\" % (gnames[i], len(com_labelprop)))\n",
    "    print(\"Labelprop Communities:\")\n",
    "    print(sorted(com_labelprop))\n",
    "    r_A_labelprop = seq_match(com_A[i], com_labelprop)\n",
    "    print(r_A_labelprop)\n",
    "    ratio_A_labelprop.append(r_A_labelprop)\n",
    "    plt.figure(figsize=(8,8))\n",
    "    plt.imshow(r_A_labelprop, cmap=plt.cm.Purples, interpolation='nearest')\n",
    "    plt.show()\n",
    "    a_A_labelprop = nonzeroavg(r_A_labelprop)\n",
    "    print(\"Non-zero values average: %f\" % a_A_labelprop)\n",
    "    avg_A_labelprop.append(a_A_labelprop)\n",
    "    print(sprtr)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "graph: test75\n",
      "Sequental matching ratio: 0.933333\n",
      "Index: 5 - 1\n",
      "[2, 19, 39, 53, 56, 65, 66]\n",
      "[2, 5, 19, 39, 53, 56, 65, 66]\n",
      "----------------------\n",
      "Sequental matching ratio: 0.848485\n",
      "Index: 3 - 3\n",
      "[5, 9, 10, 14, 23, 26, 27, 29, 30, 35, 36, 38, 48, 54, 58, 61, 69, 73, 74]\n",
      "[9, 10, 14, 23, 26, 29, 30, 38, 48, 58, 61, 69, 73, 74]\n",
      "----------------------\n",
      "Sequental matching ratio: 0.800000\n",
      "Index: 4 - 4\n",
      "[18, 22, 34, 41, 42, 67, 68]\n",
      "[6, 18, 34, 41, 42, 59, 67, 68]\n",
      "----------------------\n",
      "Sequental matching ratio: 0.711111\n",
      "Index: 8 - 0\n",
      "[1, 6, 8, 15, 16, 17, 20, 21, 24, 28, 37, 43, 45, 46, 47, 50, 51, 52, 55, 57, 59, 60, 62, 63, 64, 70, 75]\n",
      "[3, 8, 13, 15, 16, 17, 20, 43, 47, 51, 52, 57, 60, 62, 63, 64, 70, 75]\n",
      "----------------------\n",
      "Sequental matching ratio: 0.640000\n",
      "Index: 9 - 2\n",
      "[3, 4, 7, 11, 12, 13, 25, 31, 32, 33, 40, 44, 49, 71, 72]\n",
      "[4, 7, 12, 22, 25, 32, 33, 50, 71, 72]\n",
      "----------------------\n",
      "Sequental matching ratio: 0.576923\n",
      "Index: 1 - 0\n",
      "[1, 6, 8, 15, 16, 17, 20, 21, 24, 28, 37, 43, 45, 46, 47, 50, 51, 52, 55, 57, 59, 60, 62, 63, 64, 70, 75]\n",
      "[1, 10, 11, 15, 16, 19, 23, 37, 42, 43, 44, 45, 46, 47, 50, 52, 55, 56, 57, 59, 61, 66, 70, 71, 75]\n",
      "----------------------\n",
      "Sequental matching ratio: 0.500000\n",
      "Index: 0 - 3\n",
      "[5, 9, 10, 14, 23, 26, 27, 29, 30, 35, 36, 38, 48, 54, 58, 61, 69, 73, 74]\n",
      "[3, 4, 5, 6, 8, 12, 13, 17, 20, 26, 27, 29, 30, 31, 35, 36, 39, 40, 48, 49, 58, 62, 69, 72, 73]\n",
      "----------------------\n",
      "graph: test100\n",
      "Sequental matching ratio: 1.000000\n",
      "Index: 7 - 4\n",
      "[32, 36, 51, 53, 68, 69, 71]\n",
      "[32, 36, 51, 53, 68, 69, 71]\n",
      "----------------------\n",
      "Sequental matching ratio: 1.000000\n",
      "Index: 11 - 3\n",
      "[9, 26, 29, 40, 43]\n",
      "[9, 26, 29, 40, 43]\n",
      "----------------------\n",
      "Sequental matching ratio: 0.736842\n",
      "Index: 9 - 2\n",
      "[6, 8, 10, 13, 19, 22, 24, 34, 41, 45, 56, 70]\n",
      "[6, 10, 13, 24, 45, 56, 70]\n",
      "----------------------\n",
      "Sequental matching ratio: 0.697674\n",
      "Index: 1 - 0\n",
      "[1, 12, 25, 27, 39, 42, 44, 46, 62, 63, 78, 80, 84, 86, 92, 99, 100]\n",
      "[1, 2, 6, 15, 17, 25, 27, 28, 39, 43, 44, 46, 50, 52, 54, 62, 63, 67, 72, 78, 80, 84, 86, 92, 99, 100]\n",
      "----------------------\n",
      "Sequental matching ratio: 0.620000\n",
      "Index: 8 - 1\n",
      "[2, 3, 4, 5, 7, 11, 14, 15, 16, 17, 18, 20, 21, 23, 28, 30, 31, 33, 35, 37, 38, 47, 48, 49, 50, 52, 54, 55, 57, 58, 59, 60, 61, 64, 65, 66, 67, 72, 73, 74, 75, 76, 77, 79, 81, 82, 83, 85, 87, 88, 89, 90, 91, 93, 94, 95, 96, 97, 98]\n",
      "[3, 5, 7, 11, 12, 16, 20, 30, 31, 35, 37, 38, 42, 47, 48, 49, 55, 57, 58, 61, 62, 63, 64, 72, 74, 76, 77, 78, 80, 83, 84, 85, 86, 90, 91, 92, 93, 94, 97, 98, 100]\n",
      "----------------------\n",
      "Sequental matching ratio: 0.588235\n",
      "Index: 4 - 2\n",
      "[6, 8, 10, 13, 19, 22, 24, 34, 41, 45, 56, 70]\n",
      "[8, 19, 22, 34, 41]\n",
      "----------------------\n",
      "Sequental matching ratio: 0.481928\n",
      "Index: 2 - 1\n",
      "[2, 3, 4, 5, 7, 11, 14, 15, 16, 17, 18, 20, 21, 23, 28, 30, 31, 33, 35, 37, 38, 47, 48, 49, 50, 52, 54, 55, 57, 58, 59, 60, 61, 64, 65, 66, 67, 72, 73, 74, 75, 76, 77, 79, 81, 82, 83, 85, 87, 88, 89, 90, 91, 93, 94, 95, 96, 97, 98]\n",
      "[7, 11, 14, 16, 19, 23, 30, 31, 37, 42, 45, 57, 58, 59, 61, 65, 66, 68, 77, 79, 81, 90, 91, 93]\n",
      "----------------------\n",
      "Sequental matching ratio: 0.475000\n",
      "Index: 5 - 1\n",
      "[2, 3, 4, 5, 7, 11, 14, 15, 16, 17, 18, 20, 21, 23, 28, 30, 31, 33, 35, 37, 38, 47, 48, 49, 50, 52, 54, 55, 57, 58, 59, 60, 61, 64, 65, 66, 67, 72, 73, 74, 75, 76, 77, 79, 81, 82, 83, 85, 87, 88, 89, 90, 91, 93, 94, 95, 96, 97, 98]\n",
      "[4, 15, 17, 18, 23, 33, 46, 54, 59, 65, 66, 67, 73, 79, 82, 87, 88, 89, 95, 96, 99]\n",
      "----------------------\n",
      "Sequental matching ratio: 0.454545\n",
      "Index: 6 - 0\n",
      "[1, 12, 25, 27, 39, 42, 44, 46, 62, 63, 78, 80, 84, 86, 92, 99, 100]\n",
      "[1, 25, 27, 39, 44]\n",
      "----------------------\n",
      "graph: test400\n",
      "Sequental matching ratio: 1.000000\n",
      "Index: 1 - 12\n",
      "[25, 31, 34, 64, 82, 83, 98, 114, 117, 134, 135, 202, 225, 232, 233, 234, 242, 249, 256, 258, 264, 272, 273, 292, 299, 304, 310]\n",
      "[25, 31, 34, 64, 82, 83, 98, 114, 117, 134, 135, 202, 225, 232, 233, 234, 242, 249, 256, 258, 264, 272, 273, 292, 299, 304, 310]\n",
      "----------------------\n",
      "Sequental matching ratio: 1.000000\n",
      "Index: 2 - 6\n",
      "[11, 33, 61, 72, 86, 87, 96, 102, 115, 118, 119, 136, 164, 167, 170, 171, 178, 181, 193, 194, 197, 198, 203, 220]\n",
      "[11, 33, 61, 72, 86, 87, 96, 102, 115, 118, 119, 136, 164, 167, 170, 171, 178, 181, 193, 194, 197, 198, 203, 220]\n",
      "----------------------\n",
      "Sequental matching ratio: 1.000000\n",
      "Index: 3 - 2\n",
      "[3, 49, 84, 106, 109, 168, 196, 205, 215, 241, 252, 255, 262, 263, 283, 311, 318, 320, 328, 329, 336, 338, 339, 340, 341, 353, 354, 366]\n",
      "[3, 49, 84, 106, 109, 168, 196, 205, 215, 241, 252, 255, 262, 263, 283, 311, 318, 320, 328, 329, 336, 338, 339, 340, 341, 353, 354, 366]\n",
      "----------------------\n",
      "Sequental matching ratio: 1.000000\n",
      "Index: 4 - 7\n",
      "[14, 26, 39, 40, 53, 66, 89, 125, 144, 148, 175, 184, 186, 189, 191, 192, 206, 207, 224, 226, 228, 247, 269, 270, 284, 309]\n",
      "[14, 26, 39, 40, 53, 66, 89, 125, 144, 148, 175, 184, 186, 189, 191, 192, 206, 207, 224, 226, 228, 247, 269, 270, 284, 309]\n",
      "----------------------\n",
      "Sequental matching ratio: 1.000000\n",
      "Index: 5 - 10\n",
      "[20, 56, 116, 124, 143, 146, 155, 158, 182, 204, 210, 227, 230, 235, 238, 239, 240, 259, 279, 280, 285, 287, 288, 291, 306, 314, 316]\n",
      "[20, 56, 116, 124, 143, 146, 155, 158, 182, 204, 210, 227, 230, 235, 238, 239, 240, 259, 279, 280, 285, 287, 288, 291, 306, 314, 316]\n",
      "----------------------\n",
      "Sequental matching ratio: 1.000000\n",
      "Index: 6 - 8\n",
      "[15, 18, 59, 71, 73, 91, 112, 126, 129, 138, 151, 153, 157, 161, 169, 172, 176, 177, 179, 183, 188, 211, 218, 219]\n",
      "[15, 18, 59, 71, 73, 91, 112, 126, 129, 138, 151, 153, 157, 161, 169, 172, 176, 177, 179, 183, 188, 211, 218, 219]\n",
      "----------------------\n",
      "Sequental matching ratio: 1.000000\n",
      "Index: 7 - 1\n",
      "[2, 8, 32, 62, 92, 121, 122, 127, 139, 140, 152, 214, 216, 243, 245, 248, 261, 267, 281, 289, 290, 298, 300, 303, 308, 312, 327]\n",
      "[2, 8, 32, 62, 92, 121, 122, 127, 139, 140, 152, 214, 216, 243, 245, 248, 261, 267, 281, 289, 290, 298, 300, 303, 308, 312, 327]\n",
      "----------------------\n",
      "Sequental matching ratio: 1.000000\n",
      "Index: 8 - 9\n",
      "[17, 60, 120, 147, 159, 213, 223, 229, 246, 253, 254, 257, 268, 276, 277, 282, 286, 305, 321, 322, 325, 337, 348, 350, 358, 359, 360, 370]\n",
      "[17, 60, 120, 147, 159, 213, 223, 229, 246, 253, 254, 257, 268, 276, 277, 282, 286, 305, 321, 322, 325, 337, 348, 350, 358, 359, 360, 370]\n",
      "----------------------\n",
      "Sequental matching ratio: 1.000000\n",
      "Index: 9 - 13\n",
      "[346, 347, 351, 352, 355, 357, 361, 362, 363, 365, 368, 369, 371, 372, 374, 375, 376, 377, 378, 379, 380, 381, 382, 383, 384, 385, 386, 387, 388, 389, 390, 391, 392, 393, 394, 395, 396, 397, 398, 399, 400]\n",
      "[346, 347, 351, 352, 355, 357, 361, 362, 363, 365, 368, 369, 371, 372, 374, 375, 376, 377, 378, 379, 380, 381, 382, 383, 384, 385, 386, 387, 388, 389, 390, 391, 392, 393, 394, 395, 396, 397, 398, 399, 400]\n",
      "----------------------\n",
      "Sequental matching ratio: 1.000000\n",
      "Index: 10 - 3\n",
      "[5, 9, 27, 30, 37, 45, 50, 54, 58, 65, 69, 74, 76, 77, 80, 81, 90, 97, 99, 103, 133, 162]\n",
      "[5, 9, 27, 30, 37, 45, 50, 54, 58, 65, 69, 74, 76, 77, 80, 81, 90, 97, 99, 103, 133, 162]\n",
      "----------------------\n",
      "Sequental matching ratio: 1.000000\n",
      "Index: 11 - 0\n",
      "[1, 4, 6, 21, 22, 24, 28, 35, 38, 42, 43, 44, 68, 78, 88, 93, 94, 95, 105, 108, 113, 145]\n",
      "[1, 4, 6, 21, 22, 24, 28, 35, 38, 42, 43, 44, 68, 78, 88, 93, 94, 95, 105, 108, 113, 145]\n",
      "----------------------\n",
      "Sequental matching ratio: 1.000000\n",
      "Index: 12 - 5\n",
      "[10, 16, 19, 36, 41, 46, 55, 57, 63, 67, 70, 79, 101, 128, 130, 141, 142, 154, 156, 163, 165, 185, 195]\n",
      "[10, 16, 19, 36, 41, 46, 55, 57, 63, 67, 70, 79, 101, 128, 130, 141, 142, 154, 156, 163, 165, 185, 195]\n",
      "----------------------\n",
      "Sequental matching ratio: 1.000000\n",
      "Index: 14 - 11\n",
      "[23, 85, 123, 137, 150, 187, 199, 200, 237, 244, 250, 251, 260, 265, 301, 302, 307, 313, 323, 326, 333, 335, 342, 344, 345, 349, 367, 373]\n",
      "[23, 85, 123, 137, 150, 187, 199, 200, 237, 244, 250, 251, 260, 265, 301, 302, 307, 313, 323, 326, 333, 335, 342, 344, 345, 349, 367, 373]\n",
      "----------------------\n",
      "Sequental matching ratio: 0.691358\n",
      "Index: 0 - 4\n",
      "[7, 12, 13, 29, 47, 48, 51, 52, 75, 100, 104, 107, 110, 111, 131, 132, 149, 160, 166, 173, 174, 180, 190, 201, 208, 209, 212, 217, 221, 222, 231, 236, 266, 271, 274, 275, 278, 293, 294, 295, 296, 297, 315, 317, 319, 324, 330, 331, 332, 334, 343, 356, 364]\n",
      "[51, 100, 131, 149, 209, 212, 221, 222, 236, 266, 274, 278, 293, 294, 295, 296, 297, 315, 317, 319, 324, 330, 331, 332, 334, 343, 356, 364]\n",
      "----------------------\n",
      "Sequental matching ratio: 0.641026\n",
      "Index: 13 - 4\n",
      "[7, 12, 13, 29, 47, 48, 51, 52, 75, 100, 104, 107, 110, 111, 131, 132, 149, 160, 166, 173, 174, 180, 190, 201, 208, 209, 212, 217, 221, 222, 231, 236, 266, 271, 274, 275, 278, 293, 294, 295, 296, 297, 315, 317, 319, 324, 330, 331, 332, 334, 343, 356, 364]\n",
      "[7, 12, 13, 29, 47, 48, 52, 75, 104, 107, 110, 111, 132, 160, 166, 173, 174, 180, 190, 201, 208, 217, 231, 271, 275]\n",
      "----------------------\n",
      "graph: test1000\n",
      "Sequental matching ratio: 1.000000\n",
      "Index: 9 - 14\n",
      "[22, 60, 118, 144, 159, 178, 240, 257, 305, 322, 347, 357, 498, 539, 612, 702, 841, 864, 952, 960, 1000]\n",
      "[22, 60, 118, 144, 159, 178, 240, 257, 305, 322, 347, 357, 498, 539, 612, 702, 841, 864, 952, 960, 1000]\n",
      "----------------------\n",
      "Sequental matching ratio: 1.000000\n",
      "Index: 14 - 27\n",
      "[46, 52, 76, 83, 108, 171, 306, 321, 388, 400, 402, 428, 572, 603, 626, 710, 727, 799, 843, 856, 859, 931, 937, 940, 950, 978]\n",
      "[46, 52, 76, 83, 108, 171, 306, 321, 388, 400, 402, 428, 572, 603, 626, 710, 727, 799, 843, 856, 859, 931, 937, 940, 950, 978]\n",
      "----------------------\n",
      "Sequental matching ratio: 1.000000\n",
      "Index: 16 - 33\n",
      "[66, 127, 131, 230, 252, 268, 314, 345, 389, 436, 460, 495, 515, 564, 580, 623, 664, 734, 765, 768, 786, 793, 815, 832, 838, 857, 887, 949, 963]\n",
      "[66, 127, 131, 230, 252, 268, 314, 345, 389, 436, 460, 495, 515, 564, 580, 623, 664, 734, 765, 768, 786, 793, 815, 832, 838, 857, 887, 949, 963]\n",
      "----------------------\n",
      "Sequental matching ratio: 1.000000\n",
      "Index: 21 - 15\n",
      "[23, 45, 62, 110, 200, 254, 256, 276, 297, 330, 337, 351, 367, 417, 441, 447, 510, 520, 528, 574, 602, 678, 728, 729, 736, 796, 876, 884, 953, 986]\n",
      "[23, 45, 62, 110, 200, 254, 256, 276, 297, 330, 337, 351, 367, 417, 441, 447, 510, 520, 528, 574, 602, 678, 728, 729, 736, 796, 876, 884, 953, 986]\n",
      "----------------------\n",
      "Sequental matching ratio: 1.000000\n",
      "Index: 23 - 35\n",
      "[73, 95, 99, 115, 132, 152, 204, 215, 304, 327, 334, 418, 435, 486, 559, 569, 634, 660, 662, 663, 717, 741, 745, 844, 875, 905, 921, 934, 980, 999]\n",
      "[73, 95, 99, 115, 132, 152, 204, 215, 304, 327, 334, 418, 435, 486, 559, 569, 634, 660, 662, 663, 717, 741, 745, 844, 875, 905, 921, 934, 980, 999]\n",
      "----------------------\n",
      "Sequental matching ratio: 1.000000\n",
      "Index: 25 - 5\n",
      "[7, 19, 180, 226, 266, 366, 372, 397, 398, 466, 473, 513, 524, 688, 691, 711, 738, 763, 809, 822, 861, 910, 939, 946, 979]\n",
      "[7, 19, 180, 226, 266, 366, 372, 397, 398, 466, 473, 513, 524, 688, 691, 711, 738, 763, 809, 822, 861, 910, 939, 946, 979]\n",
      "----------------------\n",
      "Sequental matching ratio: 1.000000\n",
      "Index: 31 - 7\n",
      "[9, 78, 102, 135, 170, 237, 239, 265, 274, 293, 298, 332, 432, 461, 470, 478, 488, 496, 563, 567, 609, 762, 821, 828, 846, 855, 867, 924, 994]\n",
      "[9, 78, 102, 135, 170, 237, 239, 265, 274, 293, 298, 332, 432, 461, 470, 478, 488, 496, 563, 567, 609, 762, 821, 828, 846, 855, 867, 924, 994]\n",
      "----------------------\n",
      "Sequental matching ratio: 1.000000\n",
      "Index: 33 - 2\n",
      "[3, 4, 14, 161, 174, 244, 250, 300, 338, 401, 416, 429, 444, 514, 594, 620, 654, 661, 712, 713, 746, 776, 785, 790, 798, 827, 904, 914, 954, 956]\n",
      "[3, 4, 14, 161, 174, 244, 250, 300, 338, 401, 416, 429, 444, 514, 594, 620, 654, 661, 712, 713, 746, 776, 785, 790, 798, 827, 904, 914, 954, 956]\n",
      "----------------------\n",
      "Sequental matching ratio: 1.000000\n",
      "Index: 36 - 11\n",
      "[17, 18, 40, 84, 202, 203, 299, 313, 331, 385, 442, 474, 529, 552, 568, 591, 606, 656, 670, 755, 917, 920, 973, 989]\n",
      "[17, 18, 40, 84, 202, 203, 299, 313, 331, 385, 442, 474, 529, 552, 568, 591, 606, 656, 670, 755, 917, 920, 973, 989]\n",
      "----------------------\n",
      "Sequental matching ratio: 1.000000\n",
      "Index: 38 - 28\n",
      "[48, 136, 140, 141, 216, 255, 369, 375, 394, 554, 598, 601, 629, 642, 697, 709, 715, 749, 885, 895]\n",
      "[48, 136, 140, 141, 216, 255, 369, 375, 394, 554, 598, 601, 629, 642, 697, 709, 715, 749, 885, 895]\n",
      "----------------------\n",
      "Sequental matching ratio: 0.983051\n",
      "Index: 8 - 24\n",
      "[39, 56, 70, 77, 80, 150, 184, 248, 267, 303, 355, 358, 362, 427, 452, 482, 525, 596, 666, 681, 690, 701, 784, 805, 863, 868, 930, 938, 947, 957]\n",
      "[39, 56, 70, 77, 80, 150, 184, 248, 267, 303, 355, 362, 427, 452, 482, 525, 596, 666, 681, 690, 701, 784, 805, 863, 868, 930, 938, 947, 957]\n",
      "----------------------\n",
      "Sequental matching ratio: 0.982456\n",
      "Index: 5 - 0\n",
      "[1, 117, 146, 151, 183, 217, 233, 280, 282, 308, 439, 455, 578, 621, 657, 699, 733, 756, 761, 764, 842, 865, 869, 896, 902, 909, 919, 968, 991]\n",
      "[1, 117, 151, 183, 217, 233, 280, 282, 308, 439, 455, 578, 621, 657, 699, 733, 756, 761, 764, 842, 865, 869, 896, 902, 909, 919, 968, 991]\n",
      "----------------------\n",
      "Sequental matching ratio: 0.981818\n",
      "Index: 10 - 20\n",
      "[32, 72, 94, 100, 147, 149, 155, 157, 169, 177, 223, 225, 242, 243, 262, 264, 333, 341, 443, 548, 565, 618, 632, 645, 646, 716, 823, 873]\n",
      "[32, 72, 94, 100, 147, 149, 155, 157, 169, 177, 223, 225, 242, 243, 262, 264, 333, 443, 548, 565, 618, 632, 645, 646, 716, 823, 873]\n",
      "----------------------\n",
      "Sequental matching ratio: 0.981818\n",
      "Index: 20 - 34\n",
      "[67, 68, 85, 195, 206, 302, 310, 340, 346, 348, 399, 407, 430, 440, 494, 543, 582, 600, 630, 635, 674, 705, 721, 769, 911, 922, 948, 987]\n",
      "[67, 85, 195, 206, 302, 310, 340, 346, 348, 399, 407, 430, 440, 494, 543, 582, 600, 630, 635, 674, 705, 721, 769, 911, 922, 948, 987]\n",
      "----------------------\n",
      "Sequental matching ratio: 0.980392\n",
      "Index: 17 - 31\n",
      "[61, 71, 91, 97, 119, 122, 125, 143, 229, 320, 359, 384, 477, 506, 625, 631, 680, 692, 703, 808, 812, 826, 847, 894, 958, 985]\n",
      "[61, 71, 91, 97, 119, 122, 125, 143, 229, 359, 384, 477, 506, 625, 631, 680, 692, 703, 808, 812, 826, 847, 894, 958, 985]\n",
      "----------------------\n",
      "Sequental matching ratio: 0.964286\n",
      "Index: 12 - 26\n",
      "[43, 47, 103, 129, 164, 189, 236, 247, 301, 315, 363, 386, 390, 413, 433, 471, 487, 491, 517, 532, 555, 560, 566, 800, 824, 916, 925, 932, 972]\n",
      "[43, 47, 103, 129, 164, 189, 236, 247, 301, 315, 363, 386, 390, 413, 433, 471, 491, 517, 532, 555, 560, 566, 824, 916, 925, 932, 972]\n",
      "----------------------\n",
      "Sequental matching ratio: 0.936170\n",
      "Index: 29 - 25\n",
      "[41, 44, 182, 311, 312, 410, 411, 425, 454, 464, 476, 616, 669, 725, 739, 752, 813, 866, 872, 891, 898, 903]\n",
      "[41, 44, 182, 199, 311, 312, 410, 411, 425, 431, 453, 454, 464, 476, 616, 669, 725, 739, 752, 813, 866, 872, 891, 898, 903]\n",
      "----------------------\n",
      "Sequental matching ratio: 0.872727\n",
      "Index: 34 - 29\n",
      "[51, 65, 114, 153, 187, 196, 213, 269, 339, 365, 505, 537, 575, 576, 599, 658, 695, 720, 726, 740, 771, 877, 899, 970, 971]\n",
      "[34, 51, 65, 75, 114, 153, 187, 196, 213, 269, 339, 365, 530, 537, 575, 576, 599, 644, 649, 658, 695, 720, 726, 740, 771, 853, 877, 899, 970, 971]\n",
      "----------------------\n",
      "Sequental matching ratio: 0.840580\n",
      "Index: 3 - 36\n",
      "[81, 124, 130, 158, 165, 166, 172, 261, 277, 288, 291, 326, 328, 343, 344, 382, 393, 406, 438, 456, 459, 501, 518, 535, 622, 655, 667, 675, 677, 742, 747, 770, 787, 795, 804, 830, 836, 870, 874, 882]\n",
      "[81, 158, 165, 166, 261, 277, 291, 326, 328, 343, 393, 406, 438, 459, 501, 535, 622, 655, 667, 675, 742, 747, 770, 787, 804, 836, 870, 874, 882]\n",
      "----------------------\n",
      "Sequental matching ratio: 0.823529\n",
      "Index: 30 - 19\n",
      "[29, 228, 253, 279, 287, 414, 421, 423, 472, 504, 522, 652, 686, 753]\n",
      "[21, 29, 228, 253, 279, 287, 324, 379, 414, 421, 423, 472, 504, 522, 527, 652, 685, 686, 753, 852]\n",
      "----------------------\n",
      "Sequental matching ratio: 0.765957\n",
      "Index: 4 - 23\n",
      "[37, 49, 57, 105, 120, 198, 281, 468, 497, 538, 541, 586, 617, 671, 730, 744, 774, 998]\n",
      "[37, 49, 57, 86, 105, 120, 198, 281, 317, 468, 497, 521, 538, 541, 547, 557, 584, 586, 605, 608, 617, 671, 707, 730, 744, 774, 807, 975, 998]\n",
      "----------------------\n",
      "Sequental matching ratio: 0.736842\n",
      "Index: 32 - 8\n",
      "[10, 33, 38, 59, 111, 126, 142, 163, 173, 193, 197, 207, 208, 219, 220, 238, 258, 275, 294, 329, 392, 415, 424, 509, 512, 531, 544, 546, 587, 610, 640, 647, 650, 659, 700, 772, 782, 801, 819, 849, 879, 889, 897, 929, 955, 983, 995, 996]\n",
      "[10, 38, 59, 111, 142, 173, 197, 207, 208, 219, 238, 294, 329, 392, 415, 424, 544, 546, 587, 640, 772, 849, 879, 889, 929, 955, 983, 995]\n",
      "----------------------\n",
      "Sequental matching ratio: 0.732394\n",
      "Index: 28 - 6\n",
      "[8, 12, 13, 16, 89, 98, 101, 137, 175, 185, 211, 222, 271, 272, 284, 290, 318, 350, 371, 391, 446, 449, 475, 490, 499, 500, 550, 558, 637, 641, 673, 722, 731, 743, 780, 837, 839, 883, 927, 933, 935, 943, 961, 967, 984]\n",
      "[8, 12, 13, 89, 98, 175, 271, 284, 290, 350, 391, 449, 499, 500, 558, 637, 641, 743, 780, 839, 883, 927, 933, 935, 967, 984]\n",
      "----------------------\n",
      "Sequental matching ratio: 0.717949\n",
      "Index: 13 - 18\n",
      "[28, 107, 181, 231, 235, 422, 469, 556, 592, 732, 845, 890, 912, 974]\n",
      "[28, 107, 116, 181, 231, 235, 241, 374, 381, 404, 422, 469, 507, 556, 592, 732, 760, 814, 818, 834, 845, 850, 890, 912, 974]\n",
      "----------------------\n",
      "Sequental matching ratio: 0.712329\n",
      "Index: 0 - 16\n",
      "[25, 30, 50, 53, 74, 128, 148, 176, 191, 212, 273, 283, 285, 292, 335, 354, 383, 412, 419, 426, 434, 445, 465, 549, 551, 561, 585, 613, 628, 639, 693, 737, 775, 788, 789, 794, 797, 810, 816, 840, 915, 928, 936, 964, 965, 966, 990]\n",
      "[25, 30, 53, 74, 128, 148, 176, 191, 273, 285, 292, 335, 383, 412, 434, 445, 549, 551, 613, 628, 693, 775, 794, 816, 840, 966]\n",
      "----------------------\n",
      "Sequental matching ratio: 0.685714\n",
      "Index: 11 - 17\n",
      "[27, 69, 93, 133, 224, 270, 309, 467, 648, 683, 862, 992]\n",
      "[5, 27, 69, 93, 112, 133, 224, 270, 309, 319, 361, 373, 380, 467, 502, 648, 683, 779, 817, 862, 969, 976, 992]\n",
      "----------------------\n",
      "Sequental matching ratio: 0.647059\n",
      "Index: 11 - 3\n",
      "[5, 112, 319, 361, 373, 380, 502, 779, 817, 969, 976]\n",
      "[5, 27, 69, 93, 112, 133, 224, 270, 309, 319, 361, 373, 380, 467, 502, 648, 683, 779, 817, 862, 969, 976, 992]\n",
      "----------------------\n",
      "Sequental matching ratio: 0.620690\n",
      "Index: 26 - 49\n",
      "[316, 352, 403, 458, 485, 571, 643, 754, 942]\n",
      "[35, 121, 186, 251, 316, 325, 352, 403, 420, 458, 485, 503, 571, 577, 607, 643, 684, 754, 942, 981]\n",
      "----------------------\n",
      "Sequental matching ratio: 0.617647\n",
      "Index: 22 - 16\n",
      "[25, 30, 50, 53, 74, 128, 148, 176, 191, 212, 273, 283, 285, 292, 335, 354, 383, 412, 419, 426, 434, 445, 465, 549, 551, 561, 585, 613, 628, 639, 693, 737, 775, 788, 789, 794, 797, 810, 816, 840, 915, 928, 936, 964, 965, 966, 990]\n",
      "[50, 212, 283, 354, 419, 426, 465, 561, 585, 639, 737, 788, 789, 797, 810, 915, 928, 936, 964, 965, 990]\n",
      "----------------------\n",
      "Sequental matching ratio: 0.606061\n",
      "Index: 19 - 10\n",
      "[15, 31, 106, 167, 356, 448, 516, 540, 545, 892]\n",
      "[15, 20, 31, 96, 106, 167, 205, 214, 246, 356, 377, 448, 516, 519, 540, 545, 583, 614, 624, 758, 851, 892, 907]\n",
      "----------------------\n",
      "Sequental matching ratio: 0.588235\n",
      "Index: 37 - 8\n",
      "[10, 33, 38, 59, 111, 126, 142, 163, 173, 193, 197, 207, 208, 219, 220, 238, 258, 275, 294, 329, 392, 415, 424, 509, 512, 531, 544, 546, 587, 610, 640, 647, 650, 659, 700, 772, 782, 801, 819, 849, 879, 889, 897, 929, 955, 983, 995, 996]\n",
      "[33, 126, 163, 193, 220, 258, 275, 509, 512, 531, 610, 647, 650, 659, 700, 782, 801, 819, 897, 996]\n",
      "----------------------\n",
      "Sequental matching ratio: 0.580645\n",
      "Index: 1 - 32\n",
      "[63, 123, 154, 307, 627, 633, 704, 825, 977]\n",
      "[11, 63, 123, 154, 190, 245, 260, 307, 353, 378, 396, 627, 633, 679, 704, 706, 825, 835, 900, 908, 944, 977]\n",
      "----------------------\n",
      "Sequental matching ratio: 0.578947\n",
      "Index: 13 - 41\n",
      "[116, 241, 374, 381, 404, 507, 619, 636, 760, 814, 818, 834, 850]\n",
      "[28, 107, 116, 181, 231, 235, 241, 374, 381, 404, 422, 469, 507, 556, 592, 732, 760, 814, 818, 834, 845, 850, 890, 912, 974]\n",
      "----------------------\n",
      "Sequental matching ratio: 0.578947\n",
      "Index: 27 - 22\n",
      "[36, 42, 104, 138, 160, 323, 508, 534, 901, 906, 918]\n",
      "[36, 42, 104, 138, 146, 160, 249, 323, 349, 405, 462, 483, 484, 508, 534, 597, 638, 676, 694, 719, 829, 831, 886, 901, 906, 918, 993]\n",
      "----------------------\n",
      "Sequental matching ratio: 0.571429\n",
      "Index: 18 - 45\n",
      "[188, 192, 221, 286, 296, 562, 588, 589, 696, 708, 959, 962]\n",
      "[16, 101, 137, 185, 188, 192, 211, 221, 222, 286, 296, 318, 371, 446, 475, 490, 550, 562, 588, 589, 673, 696, 708, 722, 731, 837, 943, 959, 961, 962]\n",
      "----------------------\n",
      "Sequental matching ratio: 0.562500\n",
      "Index: 1 - 9\n",
      "[11, 190, 245, 370, 378, 396, 706, 900, 908, 944]\n",
      "[11, 63, 123, 154, 190, 245, 260, 307, 353, 378, 396, 627, 633, 679, 704, 706, 825, 835, 900, 908, 944, 977]\n",
      "----------------------\n",
      "Sequental matching ratio: 0.553191\n",
      "Index: 19 - 12\n",
      "[20, 35, 96, 121, 186, 205, 214, 246, 251, 325, 377, 420, 503, 519, 577, 583, 607, 614, 624, 684, 758, 851, 907, 981]\n",
      "[15, 20, 31, 96, 106, 167, 205, 214, 246, 356, 377, 448, 516, 519, 540, 545, 583, 614, 624, 758, 851, 892, 907]\n",
      "----------------------\n",
      "Sequental matching ratio: 0.540541\n",
      "Index: 27 - 47\n",
      "[249, 405, 462, 483, 484, 597, 638, 719, 886, 993]\n",
      "[36, 42, 104, 138, 146, 160, 249, 323, 349, 405, 462, 483, 484, 508, 534, 597, 638, 676, 694, 719, 829, 831, 886, 901, 906, 918, 993]\n",
      "----------------------\n",
      "Sequental matching ratio: 0.529412\n",
      "Index: 15 - 4\n",
      "[6, 376, 409, 553, 653, 682, 781, 792, 854]\n",
      "[6, 54, 134, 194, 289, 358, 370, 376, 409, 437, 450, 451, 480, 511, 553, 604, 651, 653, 682, 767, 781, 792, 854, 926, 997]\n",
      "----------------------\n",
      "Sequental matching ratio: 0.511628\n",
      "Index: 6 - 1\n",
      "[2, 24, 26, 55, 58, 64, 79, 88, 92, 156, 162, 168, 201, 209, 210, 227, 234, 263, 278, 336, 342, 387, 395, 463, 479, 489, 523, 526, 533, 536, 542, 570, 581, 590, 611, 615, 665, 668, 689, 698, 724, 735, 748, 751, 757, 759, 766, 773, 777, 778, 791, 803, 806, 811, 848, 860, 871, 893, 913, 923, 941, 945, 951, 982]\n",
      "[55, 58, 92, 210, 336, 342, 463, 489, 533, 536, 570, 581, 615, 665, 668, 724, 748, 791, 806, 848, 913, 945]\n",
      "----------------------\n",
      "Sequental matching ratio: 0.500000\n",
      "Index: 26 - 12\n",
      "[20, 35, 96, 121, 186, 205, 214, 246, 251, 325, 377, 420, 503, 519, 577, 583, 607, 614, 624, 684, 758, 851, 907, 981]\n",
      "[35, 121, 186, 251, 316, 325, 352, 403, 420, 458, 485, 503, 571, 577, 607, 643, 684, 754, 942, 981]\n",
      "----------------------\n",
      "Sequental matching ratio: 0.494118\n",
      "Index: 2 - 1\n",
      "[2, 24, 26, 55, 58, 64, 79, 88, 92, 156, 162, 168, 201, 209, 210, 227, 234, 263, 278, 336, 342, 387, 395, 463, 479, 489, 523, 526, 533, 536, 542, 570, 581, 590, 611, 615, 665, 668, 689, 698, 724, 735, 748, 751, 757, 759, 766, 773, 777, 778, 791, 803, 806, 811, 848, 860, 871, 893, 913, 923, 941, 945, 951, 982]\n",
      "[79, 88, 156, 162, 201, 227, 234, 278, 479, 542, 611, 689, 698, 735, 751, 766, 803, 860, 923, 941, 951]\n",
      "----------------------\n",
      "Sequental matching ratio: 0.494118\n",
      "Index: 7 - 1\n",
      "[2, 24, 26, 55, 58, 64, 79, 88, 92, 156, 162, 168, 201, 209, 210, 227, 234, 263, 278, 336, 342, 387, 395, 463, 479, 489, 523, 526, 533, 536, 542, 570, 581, 590, 611, 615, 665, 668, 689, 698, 724, 735, 748, 751, 757, 759, 766, 773, 777, 778, 791, 803, 806, 811, 848, 860, 871, 893, 913, 923, 941, 945, 951, 982]\n",
      "[2, 24, 26, 64, 168, 209, 263, 387, 395, 523, 526, 590, 757, 759, 773, 777, 778, 811, 871, 893, 982]\n",
      "----------------------\n",
      "Sequental matching ratio: 0.480000\n",
      "Index: 18 - 6\n",
      "[8, 12, 13, 16, 89, 98, 101, 137, 175, 185, 211, 222, 271, 272, 284, 290, 318, 350, 371, 391, 446, 449, 475, 490, 499, 500, 550, 558, 637, 641, 673, 722, 731, 743, 780, 837, 839, 883, 927, 933, 935, 943, 961, 967, 984]\n",
      "[16, 101, 137, 185, 188, 192, 211, 221, 222, 286, 296, 318, 371, 446, 475, 490, 550, 562, 588, 589, 673, 696, 708, 722, 731, 837, 943, 959, 961, 962]\n",
      "----------------------\n",
      "Sequental matching ratio: 0.461538\n",
      "Index: 30 - 13\n",
      "[21, 324, 379, 527, 685, 852]\n",
      "[21, 29, 228, 253, 279, 287, 324, 379, 414, 421, 423, 472, 504, 522, 527, 652, 685, 686, 753, 852]\n",
      "----------------------\n",
      "Sequental matching ratio: 0.437500\n",
      "Index: 15 - 30\n",
      "[54, 194, 289, 480, 604, 651, 997]\n",
      "[6, 54, 134, 194, 289, 358, 370, 376, 409, 437, 450, 451, 480, 511, 553, 604, 651, 653, 682, 767, 781, 792, 854, 926, 997]\n",
      "----------------------\n",
      "Sequental matching ratio: 0.437500\n",
      "Index: 24 - 37\n",
      "[82, 109, 145, 232, 295, 408, 457, 718, 880]\n",
      "[82, 87, 90, 109, 113, 124, 130, 145, 172, 232, 288, 295, 341, 344, 364, 368, 382, 408, 456, 457, 481, 518, 573, 677, 714, 718, 783, 795, 830, 833, 858, 880, 988]\n",
      "----------------------\n",
      "Sequental matching ratio: 0.428571\n",
      "Index: 35 - 43\n",
      "[139, 259, 360, 493, 687, 878, 888]\n",
      "[68, 139, 179, 218, 259, 272, 320, 360, 487, 492, 493, 505, 579, 593, 595, 619, 636, 672, 687, 723, 750, 800, 802, 820, 878, 881, 888]\n",
      "----------------------\n",
      "Sequental matching ratio: 0.411765\n",
      "Index: 4 - 50\n",
      "[317, 521, 547, 557, 584, 605, 975]\n",
      "[37, 49, 57, 86, 105, 120, 198, 281, 317, 468, 497, 521, 538, 541, 547, 557, 584, 586, 605, 608, 617, 671, 707, 730, 744, 774, 807, 975, 998]\n",
      "----------------------\n",
      "Sequental matching ratio: 0.411765\n",
      "Index: 24 - 52\n",
      "[364, 368, 481, 573, 783, 833, 858]\n",
      "[82, 87, 90, 109, 113, 124, 130, 145, 172, 232, 288, 295, 341, 344, 364, 368, 382, 408, 456, 457, 481, 518, 573, 677, 714, 718, 783, 795, 830, 833, 858, 880, 988]\n",
      "----------------------\n"
     ]
    }
   ],
   "source": [
    "#Limiter variable can be used to threshold the low end of ratios.\n",
    "limiter = 0.4\n",
    "for i in range(len(gs)):\n",
    "    print(\"graph: %s\" % gnames[i])\n",
    "    getHighestRatios(ratio_A_labelprop[i], 250, com_A[i], get_comms(gs[i], \"comm_labelprop\"), limiter)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Number of communities in test75 graph: 7\n",
      "Spinglass Communities:\n",
      "[[1, 21, 24, 35, 43, 54, 55, 59], [2, 6, 9, 18, 28, 34, 41, 42, 60, 63, 64, 67, 68], [3, 4, 7, 12, 13, 22, 25, 31, 32, 33, 40, 49, 71, 72], [5, 19, 39, 53, 56, 65, 66], [8, 15, 16, 17, 20, 37, 45, 46, 47, 50, 51, 52, 57, 62, 70, 75], [10, 14, 23, 26, 27, 29, 30, 36, 38, 48, 58, 61, 69, 73, 74], [11, 44]]\n",
      "[[0.45, 0.0, 0.05263157894736842, 0.06060606060606061, 0.41025641025641024, 0.1951219512195122, 0.125], [0.15, 0.14814814814814814, 0.05263157894736842, 0.24242424242424243, 0.05128205128205128, 0.5365853658536586, 0.1875], [0.15, 0.0, 0.5789473684210527, 0.18181818181818182, 0.2564102564102564, 0.04878048780487805, 0.125], [0.896551724137931, 0.0, 0.07407407407407407, 0.0, 0.0, 0.0, 0.0], [0.0, 0.0, 0.6666666666666666, 0.125, 0.0, 0.0, 0.0], [0.0, 0.0, 0.09523809523809523, 0.0, 0.0, 0.0, 0.9333333333333333], [0.1, 0.5714285714285714, 0.0, 0.0, 0.0, 0.19047619047619047, 0.0], [0.09090909090909091, 0.0, 0.1, 0.13333333333333333, 0.2857142857142857, 0.08695652173913043, 0.0], [0.0, 0.0, 0.1935483870967742, 0.07692307692307693, 0.125, 0.7058823529411765, 0.0], [0.0, 0.0, 0.0, 0.0, 0.75, 0.07692307692307693, 0.0], [0.0, 0.0, 0.0, 0.7692307692307693, 0.0, 0.0, 0.0]]\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 576x576 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Non-zero values average: 0.419990\n",
      "---------------------------------------\n",
      "Number of communities in test100 graph: 7\n",
      "Spinglass Communities:\n",
      "[[1, 25, 27, 30, 31, 39, 44, 46, 54, 62, 63, 72, 78, 80, 84, 86, 92, 99, 100], [2, 14, 21, 28, 50, 52, 60, 75, 81], [3, 4, 6, 8, 10, 12, 13, 18, 19, 22, 24, 34, 41, 45, 48, 49, 56, 70, 76, 83, 97], [5, 15, 17, 23, 33, 59, 65, 66, 67, 73, 79, 82, 87, 88, 89], [7, 11, 16, 42, 57, 58, 61, 74, 77, 90, 91, 93], [9, 26, 29, 40, 43], [20, 32, 35, 36, 37, 38, 47, 51, 53, 55, 64, 68, 69, 71, 85, 94, 95, 96, 98]]\n",
      "[[0.12903225806451613, 0.08888888888888889, 0.0, 0.6382978723404256, 0.2926829268292683, 0.05714285714285714, 0.0], [0.06451612903225806, 0.0, 0.7555555555555555, 0.0425531914893617, 0.14634146341463414, 0.22857142857142856, 0.0], [0.0, 0.09302325581395349, 0.09302325581395349, 0.08888888888888889, 0.2564102564102564, 0.12121212121212122, 0.6111111111111112], [0.13793103448275862, 0.6976744186046512, 0.0, 0.13333333333333333, 0.05128205128205128, 0.12121212121212122, 0.05555555555555555], [0.0, 0.0, 0.0, 0.38461538461538464, 0.0, 0.0, 0.0], [0.0, 0.1, 0.15, 0.09523809523809523, 0.7777777777777778, 0.0, 0.0], [0.0, 0.0, 0.4166666666666667, 0.0, 0.0, 0.0, 0.0], [0.0, 0.5384615384615384, 0.0, 0.0, 0.0, 0.0, 0.0], [0.0, 0.3333333333333333, 0.36666666666666664, 0.22580645161290322, 0.03571428571428571, 0.0, 0.4528301886792453], [0.0, 0.0, 0.0, 0.5, 0.0, 0.0, 0.0], [0.0, 0.0, 0.0, 0.0, 0.0, 1.0, 0.0], [1.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0]]\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 576x576 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Non-zero values average: 0.447805\n",
      "---------------------------------------\n",
      "Number of communities in test400 graph: 16\n",
      "Spinglass Communities:\n",
      "[[1, 4, 6, 21, 22, 24, 28, 35, 38, 42, 43, 44, 68, 78, 88, 93, 94, 95, 105, 108, 113, 145], [2, 32, 62, 92, 121, 122, 127, 139, 140, 152, 214, 216, 243, 245, 248, 261, 267, 281, 289, 290, 298, 300, 303, 308, 312, 327], [3, 49, 84, 106, 109, 168, 196, 205, 215, 241, 252, 255, 262, 263, 283, 311, 318, 320, 328, 329, 336, 338, 339, 340, 341, 353, 354, 366], [5, 9, 27, 30, 37, 45, 50, 54, 58, 65, 69, 74, 76, 77, 80, 81, 90, 97, 99, 103, 133, 162], [7, 12, 13, 29, 47, 48, 52, 75, 104, 107, 110, 111, 132, 160, 166, 173, 174, 180, 190, 201, 208, 217, 231, 271, 275], [8], [10, 16, 19, 36, 41, 46, 55, 57, 63, 67, 70, 79, 101, 128, 130, 141, 142, 154, 156, 163, 165, 185, 195], [11, 33, 61, 72, 86, 87, 96, 102, 115, 118, 119, 136, 164, 167, 170, 171, 178, 181, 193, 194, 197, 198, 203, 220], [14, 26, 39, 40, 53, 66, 89, 125, 144, 148, 175, 184, 186, 189, 191, 192, 206, 207, 224, 226, 228, 247, 269, 270, 284, 309], [15, 18, 59, 71, 73, 91, 112, 126, 129, 138, 151, 153, 157, 161, 169, 172, 176, 177, 179, 183, 188, 211, 218, 219], [17, 60, 120, 147, 159, 213, 223, 229, 246, 253, 254, 257, 268, 276, 277, 282, 286, 305, 321, 322, 325, 337, 348, 350, 358, 359, 360, 370], [20, 56, 116, 124, 143, 146, 155, 158, 182, 204, 210, 227, 230, 235, 238, 239, 240, 259, 279, 280, 285, 287, 288, 291, 306, 314, 316], [23, 85, 123, 137, 150, 187, 199, 200, 237, 244, 250, 251, 260, 265, 301, 302, 307, 313, 323, 326, 333, 335, 342, 344, 345, 349, 367, 373], [25, 31, 34, 64, 82, 83, 98, 114, 117, 134, 135, 202, 225, 232, 233, 234, 242, 249, 256, 258, 264, 272, 273, 292, 299, 304, 310], [51, 100, 131, 149, 209, 212, 221, 222, 236, 266, 274, 278, 293, 294, 295, 296, 297, 315, 317, 319, 324, 330, 331, 332, 334, 343, 356, 364], [346, 347, 351, 352, 355, 357, 361, 362, 363, 365, 368, 369, 371, 372, 374, 375, 376, 377, 378, 379, 380, 381, 382, 383, 384, 385, 386, 387, 388, 389, 390, 391, 392, 393, 394, 395, 396, 397, 398, 399, 400]]\n",
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\n",
      "text/plain": [
       "<Figure size 576x576 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Non-zero values average: 0.194087\n",
      "---------------------------------------\n",
      "Number of communities in test1000 graph: 24\n",
      "Spinglass Communities:\n",
      "[[1, 117, 151, 183, 217, 233, 280, 282, 308, 439, 455, 578, 621, 657, 699, 733, 756, 761, 764, 842, 865, 869, 896, 902, 909, 919, 968, 991], [2, 24, 26, 64, 168, 209, 263, 387, 395, 523, 526, 590, 757, 759, 773, 777, 778, 811, 871, 893, 982], [3, 4, 14, 36, 42, 104, 138, 146, 160, 161, 244, 249, 250, 300, 323, 338, 349, 401, 405, 416, 429, 444, 462, 483, 484, 508, 514, 534, 594, 597, 620, 638, 654, 661, 676, 694, 712, 713, 719, 746, 776, 785, 790, 798, 827, 829, 831, 886, 901, 904, 906, 914, 918, 954, 956, 993], [5, 27, 69, 93, 112, 133, 224, 270, 309, 319, 361, 373, 380, 467, 502, 648, 683, 779, 817, 862, 969, 976, 992], [6, 50, 54, 134, 194, 212, 283, 289, 354, 358, 370, 376, 409, 419, 426, 437, 450, 451, 465, 480, 511, 553, 561, 585, 604, 639, 651, 653, 682, 737, 767, 781, 788, 789, 792, 797, 810, 854, 915, 926, 928, 936, 964, 965, 990, 997], [7, 19, 180, 226, 266, 366, 372, 397, 398, 466, 473, 513, 524, 688, 691, 711, 738, 763, 809, 822, 861, 910, 939, 946, 979], [8, 9, 12, 13, 78, 89, 98, 102, 135, 170, 175, 237, 239, 265, 271, 274, 284, 290, 293, 298, 332, 350, 391, 432, 449, 461, 470, 478, 488, 496, 499, 500, 558, 563, 567, 609, 637, 641, 743, 762, 780, 821, 828, 839, 846, 855, 867, 883, 924, 927, 933, 935, 967, 984, 994], [10, 32, 38, 59, 72, 94, 100, 111, 142, 147, 149, 155, 157, 169, 173, 177, 197, 207, 208, 219, 223, 225, 238, 242, 243, 262, 264, 294, 329, 333, 392, 415, 424, 443, 544, 546, 548, 565, 587, 618, 632, 640, 645, 646, 716, 772, 823, 849, 873, 879, 889, 929, 955, 983, 995], [11, 63, 81, 123, 154, 158, 165, 166, 190, 245, 260, 261, 277, 291, 307, 326, 328, 343, 353, 378, 393, 396, 406, 438, 459, 501, 535, 622, 627, 633, 655, 667, 675, 679, 704, 706, 742, 747, 770, 787, 804, 825, 835, 836, 870, 874, 882, 900, 908, 944, 977], [15, 20, 31, 35, 96, 106, 121, 167, 186, 205, 214, 246, 251, 316, 325, 352, 356, 377, 403, 420, 448, 458, 485, 503, 516, 519, 540, 545, 571, 577, 583, 607, 614, 624, 643, 684, 754, 758, 851, 892, 907, 942, 981], [16, 101, 137, 185, 188, 192, 211, 221, 222, 286, 296, 318, 371, 446, 475, 490, 550, 562, 588, 589, 673, 696, 708, 722, 731, 837, 943, 959, 961, 962], [17, 18, 40, 84, 202, 203, 299, 313, 331, 385, 442, 474, 529, 552, 568, 591, 606, 656, 670, 755, 917, 920, 973, 989], [21, 29, 33, 126, 163, 193, 220, 228, 253, 258, 275, 279, 287, 324, 379, 414, 421, 423, 472, 504, 509, 512, 522, 527, 531, 610, 647, 650, 652, 659, 685, 686, 700, 753, 782, 801, 819, 852, 897, 996], [22, 46, 52, 60, 76, 83, 108, 118, 144, 159, 171, 178, 240, 257, 305, 306, 321, 322, 347, 357, 388, 400, 402, 428, 498, 539, 572, 603, 612, 626, 702, 710, 727, 799, 841, 843, 856, 859, 864, 931, 937, 940, 950, 952, 960, 978, 1000], [23, 45, 61, 62, 71, 91, 97, 110, 119, 122, 125, 143, 200, 229, 254, 256, 276, 297, 330, 337, 351, 359, 367, 384, 417, 441, 447, 477, 506, 510, 520, 528, 574, 602, 625, 631, 678, 680, 692, 703, 728, 729, 736, 796, 808, 812, 826, 847, 876, 884, 894, 953, 958, 985, 986], [25, 30, 53, 74, 128, 148, 176, 191, 273, 285, 292, 335, 383, 412, 434, 445, 549, 551, 613, 628, 693, 775, 794, 816, 840, 966], [28, 34, 51, 65, 75, 107, 114, 116, 153, 181, 187, 196, 213, 231, 235, 241, 269, 339, 365, 374, 381, 404, 422, 469, 507, 530, 537, 556, 575, 576, 592, 599, 644, 649, 658, 695, 720, 726, 732, 740, 760, 771, 814, 818, 834, 845, 850, 853, 877, 890, 899, 912, 970, 971, 974], [37, 49, 55, 57, 58, 79, 86, 88, 92, 105, 120, 156, 162, 198, 201, 210, 227, 234, 278, 281, 317, 336, 342, 463, 468, 479, 489, 497, 521, 533, 536, 538, 541, 542, 547, 557, 570, 581, 584, 586, 605, 608, 611, 615, 617, 665, 668, 671, 689, 698, 707, 724, 730, 735, 744, 748, 751, 766, 774, 791, 803, 806, 807, 848, 860, 913, 923, 941, 945, 951, 975, 998], [39, 56, 70, 77, 80, 150, 184, 248, 267, 303, 355, 362, 427, 452, 482, 525, 596, 666, 681, 690, 701, 784, 805, 863, 868, 930, 938, 947, 957], [41, 44, 82, 87, 90, 109, 113, 124, 130, 145, 172, 182, 199, 232, 288, 295, 311, 312, 341, 344, 364, 368, 382, 408, 410, 411, 425, 431, 453, 454, 456, 457, 464, 476, 481, 518, 573, 616, 669, 677, 714, 718, 725, 739, 752, 783, 795, 813, 830, 833, 858, 866, 872, 880, 891, 898, 903, 988], [43, 47, 67, 85, 103, 129, 164, 189, 195, 206, 236, 247, 301, 302, 310, 315, 340, 346, 348, 363, 386, 390, 399, 407, 413, 430, 433, 440, 471, 491, 494, 517, 532, 543, 555, 560, 566, 582, 600, 630, 635, 674, 705, 721, 769, 824, 911, 916, 922, 925, 932, 948, 972, 987], [48, 136, 140, 141, 174, 216, 255, 369, 375, 394, 554, 598, 601, 629, 642, 697, 709, 715, 749, 885, 895], [66, 127, 131, 230, 252, 268, 314, 345, 389, 436, 460, 495, 515, 564, 580, 623, 664, 734, 765, 768, 786, 793, 815, 832, 838, 857, 887, 949, 963], [68, 73, 95, 99, 115, 132, 139, 152, 179, 204, 215, 218, 259, 272, 304, 320, 327, 334, 360, 418, 435, 486, 487, 492, 493, 505, 559, 569, 579, 593, 595, 619, 634, 636, 660, 662, 663, 672, 687, 717, 723, 741, 745, 750, 800, 802, 820, 844, 875, 878, 881, 888, 905, 921, 934, 980, 999]]\n",
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     "data": {
      "image/png": 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/Vzbu1g8kVzI1MKMBkK5h0Ng+1vaPbP/U9jO2V1bb77X9X7a3VF8L8ssFUEclb532SzovIl613SvpCdv/Wj12TUTcn1cegG7QMGgiIiS9Wt3trb4isygA3aXoHI3tHttbJO2RtCEiNlcP3Wp7q+07bR8zznOX2h60PTi0d6hFZQOok6KgiYjhiFggaZ6khbb/RNJnJf2xpD+TdKKka8d57uqIGIiIgf6+/haVDaBOJnTVKSL2SXpM0uKI2BUj9kv6mqSFCfUB6AIlV536bZ9Q3X6TpPMl/cz2nGqbJV0kaVtmoQDqq+Sq0xxJa233aCSY1kXEd2z/0Ha/JEvaIulTiXUCqLGSq05bJZ05xvbzUioC0HVYglBTi3pXFI3beLBsHFpruiwtKMUSBADpCBoA6QgaAOkIGgDpCBoA6QgaAOkIGgDpCBoA6QgaAOnoDK4pOn7RTjcse7ThmBd2/nrcx5jRAEhH0ABIR9AASEfQAEhH0ABIR9AASEfQAEhH0ABIR9AASEfQAEjHEgSgg95/3M1F477/6o3JlbyxW1Zd2HDMhidWjvsYMxoA6QgaAOkIGgDpCBoA6QgaAOkIGgDpCBoA6QgaAOkIGgDp2toZfGj4sPbt+9+G42bOLM+/GS4b1zur9Yd66OBw0bgZPRPI84jW/8ziXZft2y77Rz9w4FDxvmcWHs/hw2U1TmRsT+Hv20R+L/f/X9mxr993XdG4/3l1f/G+Vfh/Ykbh6yiV/Vq+0b83MxoA6QgaAOkIGgDpCBoA6QgaAOkIGgDpCBoA6QgaAOkIGgDp2toZPMPSrN7G2dYzga7X4eHDReOisEvUpa3GKu8oVXkzq1TarVnYxVs4TJJ08FBZp/MxxxT+2iQc9/Dhstd7Iko7og8WdoJL5d3TpXp7e4rHlh7PgQPlx3PMsQWv+RscMjMaAOmKg8Z2j+2f2P5Odf8025ttP2v727Zn5ZUJoM4mMqO5StL2Ufdvl3RnRJwu6WVJl7eyMADdoyhobM+TdKGkr1b3Lek8SfdXQ9ZKuiijQAD1Vzqj+bKkz0g6ciburZL2RcSRtfA7Jc0d64m2l9oetD2497/3NlUsgHpqGDS2/0LSnoh4cvTmMYaOeao7IlZHxEBEDPS9tW+SZQKos5LrlGdL+ivbF0g6VtIfaGSGc4LtmdWsZp6kF/PKBFBnDWc0EfHZiJgXEfMlfVTSDyPibyRtknRJNewySQ+nVQmg1prpo7lW0qdtP6eRczb3tKYkAN1mQp3BEfGYpMeq289LWtj6kgB0m7YuQQiV/cFoz5hI73qZGT1lLeETadkfPlTWDj9zAu3jLTeBA5rIsZco/TeXyv84+XDhMgmpfBlA6fKUWaVLLyQd2F/2x8lL/833F/48qXwZzcyC5UBHNPu7wRIEAOkIGgDpCBoA6QgaAOkIGgDpCBoA6QgaAOkIGgDpCBoA6Vz6h4xbsjN7SNIvjtrcJ6mb/lANxzN1ddOxSFPveN4WEf1jPdDWoBmzAHswIgY6WkQLcTxTVzcdi1Sv4+GtE4B0BA2AdFMhaFZ3uoAW43imrm46FqlGx9PxczQAut9UmNEA6HIdDRrbi23/3PZztpd3spZWsL3D9tO2t9ge7HQ9E2F7je09treN2nai7Q3Vp5FusD27kzVOxDjHs8L2C9Xrs6X6g/u1YPsU25tsb7f9jO2rqu21eI06FjS2eyTdJemDks6QdKntMzpVTwudGxEL6nLZcZR7JS0+attySRurTyPdWN2vi3v1+uORRj5ddUH1tb7NNTXjkKRlEfFOSWdJuqL6/1KL16iTM5qFkp6LiOcj4oCk+yQt6WA901pEPC7ppaM2L9HIp5BKNfs00nGOp7YiYldEPFXdfkUjH089VzV5jToZNHMl/WrU/XE/7bJGQtL3bT9pe2mni2mBkyNilzTyiy7ppA7X0wpX2t5avbWakm8zGrE9X9KZkjarJq9RJ4Om+NMua+TsiHi3Rt4OXmH7vZ0uCL/nK5LeLmmBpF2SVnW2nImzfZykByRdHRG/6XQ9pToZNDslnTLqfu0/7TIiXqy+75H0kOr/cTS7bc+RpOr7ng7X05SI2B0RwxFxWNLdqtnrY7tXIyHzjYh4sNpci9eok0HzY0mn2z7N9iyNfArmIx2spym232L7+CO3Jb1f0rY3ftaU94hGPoVU6oJPIz3yH7JysWr0+njks2PukbQ9Iu4Y9VAtXqOONuxVlxe/LKlH0pqIuLVjxTTJ9h9pZBYjjXxe1jfrdDy2vyXpHI2sCN4t6SZJ/yxpnaRTJf1S0ocjohYnWMc5nnM08rYpJO2Q9Mkj5zemOtt/LunfJD0t6cgHil2nkfM0U/41ojMYQDo6gwGkI2gApCNoAKQjaACkI2gApCNoAKQjaACkI2gApPt/UL7C8RtcrS8AAAAASUVORK5CYII=\n",
      "text/plain": [
       "<Figure size 576x576 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Non-zero values average: 0.631326\n",
      "---------------------------------------\n"
     ]
    }
   ],
   "source": [
    "ratio_A_spinglass, avg_A_spinglass = [], []\n",
    "for i in range(len(gs)):\n",
    "    com_spinglass = get_comms(gs[i], \"comm_spinglass\")\n",
    "    print(\"Number of communities in %s graph: %s\" % (gnames[i], len(com_spinglass)))\n",
    "    print(\"Spinglass Communities:\")\n",
    "    print(sorted(com_spinglass))\n",
    "    r_A_spinglass = seq_match(com_A[i], com_spinglass)\n",
    "    print(r_A_spinglass)\n",
    "    ratio_A_spinglass.append(r_A_spinglass)\n",
    "    plt.figure(figsize=(8,8))\n",
    "    plt.imshow(r_A_spinglass, cmap=plt.cm.Purples, interpolation='nearest')\n",
    "    plt.show()\n",
    "    a_A_spinglass = nonzeroavg(r_A_spinglass)\n",
    "    print(\"Non-zero values average: %f\" % a_A_spinglass)\n",
    "    avg_A_spinglass.append(a_A_spinglass)\n",
    "    print(sprtr)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "graph: test75\n",
      "Sequental matching ratio: 0.933333\n",
      "Index: 5 - 6\n",
      "[5, 19, 39, 53, 56, 65, 66]\n",
      "[2, 5, 19, 39, 53, 56, 65, 66]\n",
      "----------------------\n",
      "Sequental matching ratio: 0.896552\n",
      "Index: 3 - 0\n",
      "[10, 14, 23, 26, 27, 29, 30, 36, 38, 48, 58, 61, 69, 73, 74]\n",
      "[9, 10, 14, 23, 26, 29, 30, 38, 48, 58, 61, 69, 73, 74]\n",
      "----------------------\n",
      "Sequental matching ratio: 0.769231\n",
      "Index: 10 - 3\n",
      "[1, 21, 24, 35, 43, 54, 55, 59]\n",
      "[1, 21, 35, 54, 55]\n",
      "----------------------\n",
      "Sequental matching ratio: 0.750000\n",
      "Index: 9 - 4\n",
      "[3, 4, 7, 12, 13, 22, 25, 31, 32, 33, 40, 49, 71, 72]\n",
      "[4, 7, 12, 22, 25, 32, 33, 50, 71, 72]\n",
      "----------------------\n",
      "Sequental matching ratio: 0.705882\n",
      "Index: 8 - 5\n",
      "[8, 15, 16, 17, 20, 37, 45, 46, 47, 50, 51, 52, 57, 62, 70, 75]\n",
      "[3, 8, 13, 15, 16, 17, 20, 43, 47, 51, 52, 57, 60, 62, 63, 64, 70, 75]\n",
      "----------------------\n",
      "Sequental matching ratio: 0.666667\n",
      "Index: 4 - 2\n",
      "[2, 6, 9, 18, 28, 34, 41, 42, 60, 63, 64, 67, 68]\n",
      "[6, 18, 34, 41, 42, 59, 67, 68]\n",
      "----------------------\n",
      "Sequental matching ratio: 0.578947\n",
      "Index: 2 - 2\n",
      "[2, 6, 9, 18, 28, 34, 41, 42, 60, 63, 64, 67, 68]\n",
      "[2, 7, 9, 14, 18, 21, 22, 24, 25, 28, 32, 33, 34, 38, 41, 51, 53, 54, 60, 63, 64, 65, 67, 68, 74]\n",
      "----------------------\n",
      "Sequental matching ratio: 0.571429\n",
      "Index: 6 - 1\n",
      "[11, 44]\n",
      "[11, 27, 37, 44, 46]\n",
      "----------------------\n",
      "Sequental matching ratio: 0.536585\n",
      "Index: 1 - 5\n",
      "[8, 15, 16, 17, 20, 37, 45, 46, 47, 50, 51, 52, 57, 62, 70, 75]\n",
      "[1, 10, 11, 15, 16, 19, 23, 37, 42, 43, 44, 45, 46, 47, 50, 52, 55, 56, 57, 59, 61, 66, 70, 71, 75]\n",
      "----------------------\n",
      "Sequental matching ratio: 0.450000\n",
      "Index: 0 - 0\n",
      "[10, 14, 23, 26, 27, 29, 30, 36, 38, 48, 58, 61, 69, 73, 74]\n",
      "[3, 4, 5, 6, 8, 12, 13, 17, 20, 26, 27, 29, 30, 31, 35, 36, 39, 40, 48, 49, 58, 62, 69, 72, 73]\n",
      "----------------------\n",
      "graph: test100\n",
      "Sequental matching ratio: 1.000000\n",
      "Index: 10 - 5\n",
      "[2, 14, 21, 28, 50, 52, 60, 75, 81]\n",
      "[2, 14, 21, 28, 50, 52, 60, 75, 81]\n",
      "----------------------\n",
      "Sequental matching ratio: 1.000000\n",
      "Index: 11 - 0\n",
      "[9, 26, 29, 40, 43]\n",
      "[9, 26, 29, 40, 43]\n",
      "----------------------\n",
      "Sequental matching ratio: 0.777778\n",
      "Index: 5 - 4\n",
      "[5, 15, 17, 23, 33, 59, 65, 66, 67, 73, 79, 82, 87, 88, 89]\n",
      "[4, 15, 17, 18, 23, 33, 46, 54, 59, 65, 66, 67, 73, 79, 82, 87, 88, 89, 95, 96, 99]\n",
      "----------------------\n",
      "Sequental matching ratio: 0.755556\n",
      "Index: 1 - 2\n",
      "[1, 25, 27, 30, 31, 39, 44, 46, 54, 62, 63, 72, 78, 80, 84, 86, 92, 99, 100]\n",
      "[1, 2, 6, 15, 17, 25, 27, 28, 39, 43, 44, 46, 50, 52, 54, 62, 63, 67, 72, 78, 80, 84, 86, 92, 99, 100]\n",
      "----------------------\n",
      "Sequental matching ratio: 0.697674\n",
      "Index: 3 - 1\n",
      "[20, 32, 35, 36, 37, 38, 47, 51, 53, 55, 64, 68, 69, 71, 85, 94, 95, 96, 98]\n",
      "[9, 20, 21, 22, 35, 36, 40, 47, 49, 51, 53, 55, 56, 60, 64, 69, 71, 74, 82, 85, 94, 95, 96, 98]\n",
      "----------------------\n",
      "Sequental matching ratio: 0.638298\n",
      "Index: 0 - 3\n",
      "[3, 4, 6, 8, 10, 12, 13, 18, 19, 22, 24, 34, 41, 45, 48, 49, 56, 70, 76, 83, 97]\n",
      "[3, 4, 5, 8, 10, 12, 13, 18, 24, 26, 29, 32, 33, 34, 38, 41, 48, 70, 73, 75, 76, 83, 87, 88, 89, 97]\n",
      "----------------------\n",
      "Sequental matching ratio: 0.611111\n",
      "Index: 2 - 6\n",
      "[7, 11, 16, 42, 57, 58, 61, 74, 77, 90, 91, 93]\n",
      "[7, 11, 14, 16, 19, 23, 30, 31, 37, 42, 45, 57, 58, 59, 61, 65, 66, 68, 77, 79, 81, 90, 91, 93]\n",
      "----------------------\n",
      "Sequental matching ratio: 0.538462\n",
      "Index: 7 - 1\n",
      "[20, 32, 35, 36, 37, 38, 47, 51, 53, 55, 64, 68, 69, 71, 85, 94, 95, 96, 98]\n",
      "[32, 36, 51, 53, 68, 69, 71]\n",
      "----------------------\n",
      "Sequental matching ratio: 0.500000\n",
      "Index: 9 - 3\n",
      "[3, 4, 6, 8, 10, 12, 13, 18, 19, 22, 24, 34, 41, 45, 48, 49, 56, 70, 76, 83, 97]\n",
      "[6, 10, 13, 24, 45, 56, 70]\n",
      "----------------------\n",
      "Sequental matching ratio: 0.452830\n",
      "Index: 8 - 6\n",
      "[7, 11, 16, 42, 57, 58, 61, 74, 77, 90, 91, 93]\n",
      "[3, 5, 7, 11, 12, 16, 20, 30, 31, 35, 37, 38, 42, 47, 48, 49, 55, 57, 58, 61, 62, 63, 64, 72, 74, 76, 77, 78, 80, 83, 84, 85, 86, 90, 91, 92, 93, 94, 97, 98, 100]\n",
      "----------------------\n",
      "Sequental matching ratio: 0.416667\n",
      "Index: 6 - 2\n",
      "[1, 25, 27, 30, 31, 39, 44, 46, 54, 62, 63, 72, 78, 80, 84, 86, 92, 99, 100]\n",
      "[1, 25, 27, 39, 44]\n",
      "----------------------\n",
      "graph: test400\n",
      "Sequental matching ratio: 1.000000\n",
      "Index: 0 - 10\n",
      "[51, 100, 131, 149, 209, 212, 221, 222, 236, 266, 274, 278, 293, 294, 295, 296, 297, 315, 317, 319, 324, 330, 331, 332, 334, 343, 356, 364]\n",
      "[51, 100, 131, 149, 209, 212, 221, 222, 236, 266, 274, 278, 293, 294, 295, 296, 297, 315, 317, 319, 324, 330, 331, 332, 334, 343, 356, 364]\n",
      "----------------------\n",
      "Sequental matching ratio: 1.000000\n",
      "Index: 1 - 15\n",
      "[25, 31, 34, 64, 82, 83, 98, 114, 117, 134, 135, 202, 225, 232, 233, 234, 242, 249, 256, 258, 264, 272, 273, 292, 299, 304, 310]\n",
      "[25, 31, 34, 64, 82, 83, 98, 114, 117, 134, 135, 202, 225, 232, 233, 234, 242, 249, 256, 258, 264, 272, 273, 292, 299, 304, 310]\n",
      "----------------------\n",
      "Sequental matching ratio: 1.000000\n",
      "Index: 2 - 13\n",
      "[11, 33, 61, 72, 86, 87, 96, 102, 115, 118, 119, 136, 164, 167, 170, 171, 178, 181, 193, 194, 197, 198, 203, 220]\n",
      "[11, 33, 61, 72, 86, 87, 96, 102, 115, 118, 119, 136, 164, 167, 170, 171, 178, 181, 193, 194, 197, 198, 203, 220]\n",
      "----------------------\n",
      "Sequental matching ratio: 1.000000\n",
      "Index: 3 - 0\n",
      "[3, 49, 84, 106, 109, 168, 196, 205, 215, 241, 252, 255, 262, 263, 283, 311, 318, 320, 328, 329, 336, 338, 339, 340, 341, 353, 354, 366]\n",
      "[3, 49, 84, 106, 109, 168, 196, 205, 215, 241, 252, 255, 262, 263, 283, 311, 318, 320, 328, 329, 336, 338, 339, 340, 341, 353, 354, 366]\n",
      "----------------------\n",
      "Sequental matching ratio: 1.000000\n",
      "Index: 4 - 2\n",
      "[14, 26, 39, 40, 53, 66, 89, 125, 144, 148, 175, 184, 186, 189, 191, 192, 206, 207, 224, 226, 228, 247, 269, 270, 284, 309]\n",
      "[14, 26, 39, 40, 53, 66, 89, 125, 144, 148, 175, 184, 186, 189, 191, 192, 206, 207, 224, 226, 228, 247, 269, 270, 284, 309]\n",
      "----------------------\n",
      "Sequental matching ratio: 1.000000\n",
      "Index: 5 - 14\n",
      "[20, 56, 116, 124, 143, 146, 155, 158, 182, 204, 210, 227, 230, 235, 238, 239, 240, 259, 279, 280, 285, 287, 288, 291, 306, 314, 316]\n",
      "[20, 56, 116, 124, 143, 146, 155, 158, 182, 204, 210, 227, 230, 235, 238, 239, 240, 259, 279, 280, 285, 287, 288, 291, 306, 314, 316]\n",
      "----------------------\n",
      "Sequental matching ratio: 1.000000\n",
      "Index: 6 - 9\n",
      "[15, 18, 59, 71, 73, 91, 112, 126, 129, 138, 151, 153, 157, 161, 169, 172, 176, 177, 179, 183, 188, 211, 218, 219]\n",
      "[15, 18, 59, 71, 73, 91, 112, 126, 129, 138, 151, 153, 157, 161, 169, 172, 176, 177, 179, 183, 188, 211, 218, 219]\n",
      "----------------------\n",
      "Sequental matching ratio: 1.000000\n",
      "Index: 8 - 12\n",
      "[17, 60, 120, 147, 159, 213, 223, 229, 246, 253, 254, 257, 268, 276, 277, 282, 286, 305, 321, 322, 325, 337, 348, 350, 358, 359, 360, 370]\n",
      "[17, 60, 120, 147, 159, 213, 223, 229, 246, 253, 254, 257, 268, 276, 277, 282, 286, 305, 321, 322, 325, 337, 348, 350, 358, 359, 360, 370]\n",
      "----------------------\n",
      "Sequental matching ratio: 1.000000\n",
      "Index: 9 - 3\n",
      "[346, 347, 351, 352, 355, 357, 361, 362, 363, 365, 368, 369, 371, 372, 374, 375, 376, 377, 378, 379, 380, 381, 382, 383, 384, 385, 386, 387, 388, 389, 390, 391, 392, 393, 394, 395, 396, 397, 398, 399, 400]\n",
      "[346, 347, 351, 352, 355, 357, 361, 362, 363, 365, 368, 369, 371, 372, 374, 375, 376, 377, 378, 379, 380, 381, 382, 383, 384, 385, 386, 387, 388, 389, 390, 391, 392, 393, 394, 395, 396, 397, 398, 399, 400]\n",
      "----------------------\n",
      "Sequental matching ratio: 1.000000\n",
      "Index: 10 - 8\n",
      "[5, 9, 27, 30, 37, 45, 50, 54, 58, 65, 69, 74, 76, 77, 80, 81, 90, 97, 99, 103, 133, 162]\n",
      "[5, 9, 27, 30, 37, 45, 50, 54, 58, 65, 69, 74, 76, 77, 80, 81, 90, 97, 99, 103, 133, 162]\n",
      "----------------------\n",
      "Sequental matching ratio: 1.000000\n",
      "Index: 11 - 11\n",
      "[1, 4, 6, 21, 22, 24, 28, 35, 38, 42, 43, 44, 68, 78, 88, 93, 94, 95, 105, 108, 113, 145]\n",
      "[1, 4, 6, 21, 22, 24, 28, 35, 38, 42, 43, 44, 68, 78, 88, 93, 94, 95, 105, 108, 113, 145]\n",
      "----------------------\n",
      "Sequental matching ratio: 1.000000\n",
      "Index: 12 - 4\n",
      "[10, 16, 19, 36, 41, 46, 55, 57, 63, 67, 70, 79, 101, 128, 130, 141, 142, 154, 156, 163, 165, 185, 195]\n",
      "[10, 16, 19, 36, 41, 46, 55, 57, 63, 67, 70, 79, 101, 128, 130, 141, 142, 154, 156, 163, 165, 185, 195]\n",
      "----------------------\n",
      "Sequental matching ratio: 1.000000\n",
      "Index: 13 - 5\n",
      "[7, 12, 13, 29, 47, 48, 52, 75, 104, 107, 110, 111, 132, 160, 166, 173, 174, 180, 190, 201, 208, 217, 231, 271, 275]\n",
      "[7, 12, 13, 29, 47, 48, 52, 75, 104, 107, 110, 111, 132, 160, 166, 173, 174, 180, 190, 201, 208, 217, 231, 271, 275]\n",
      "----------------------\n",
      "Sequental matching ratio: 1.000000\n",
      "Index: 14 - 6\n",
      "[23, 85, 123, 137, 150, 187, 199, 200, 237, 244, 250, 251, 260, 265, 301, 302, 307, 313, 323, 326, 333, 335, 342, 344, 345, 349, 367, 373]\n",
      "[23, 85, 123, 137, 150, 187, 199, 200, 237, 244, 250, 251, 260, 265, 301, 302, 307, 313, 323, 326, 333, 335, 342, 344, 345, 349, 367, 373]\n",
      "----------------------\n",
      "Sequental matching ratio: 0.981132\n",
      "Index: 7 - 1\n",
      "[2, 32, 62, 92, 121, 122, 127, 139, 140, 152, 214, 216, 243, 245, 248, 261, 267, 281, 289, 290, 298, 300, 303, 308, 312, 327]\n",
      "[2, 8, 32, 62, 92, 121, 122, 127, 139, 140, 152, 214, 216, 243, 245, 248, 261, 267, 281, 289, 290, 298, 300, 303, 308, 312, 327]\n",
      "----------------------\n",
      "graph: test1000\n",
      "Sequental matching ratio: 1.000000\n",
      "Index: 0 - 17\n",
      "[25, 30, 53, 74, 128, 148, 176, 191, 273, 285, 292, 335, 383, 412, 434, 445, 549, 551, 613, 628, 693, 775, 794, 816, 840, 966]\n",
      "[25, 30, 53, 74, 128, 148, 176, 191, 273, 285, 292, 335, 383, 412, 434, 445, 549, 551, 613, 628, 693, 775, 794, 816, 840, 966]\n",
      "----------------------\n",
      "Sequental matching ratio: 1.000000\n",
      "Index: 5 - 9\n",
      "[1, 117, 151, 183, 217, 233, 280, 282, 308, 439, 455, 578, 621, 657, 699, 733, 756, 761, 764, 842, 865, 869, 896, 902, 909, 919, 968, 991]\n",
      "[1, 117, 151, 183, 217, 233, 280, 282, 308, 439, 455, 578, 621, 657, 699, 733, 756, 761, 764, 842, 865, 869, 896, 902, 909, 919, 968, 991]\n",
      "----------------------\n",
      "Sequental matching ratio: 1.000000\n",
      "Index: 7 - 11\n",
      "[2, 24, 26, 64, 168, 209, 263, 387, 395, 523, 526, 590, 757, 759, 773, 777, 778, 811, 871, 893, 982]\n",
      "[2, 24, 26, 64, 168, 209, 263, 387, 395, 523, 526, 590, 757, 759, 773, 777, 778, 811, 871, 893, 982]\n",
      "----------------------\n",
      "Sequental matching ratio: 1.000000\n",
      "Index: 8 - 13\n",
      "[39, 56, 70, 77, 80, 150, 184, 248, 267, 303, 355, 362, 427, 452, 482, 525, 596, 666, 681, 690, 701, 784, 805, 863, 868, 930, 938, 947, 957]\n",
      "[39, 56, 70, 77, 80, 150, 184, 248, 267, 303, 355, 362, 427, 452, 482, 525, 596, 666, 681, 690, 701, 784, 805, 863, 868, 930, 938, 947, 957]\n",
      "----------------------\n",
      "Sequental matching ratio: 1.000000\n",
      "Index: 11 - 4\n",
      "[5, 27, 69, 93, 112, 133, 224, 270, 309, 319, 361, 373, 380, 467, 502, 648, 683, 779, 817, 862, 969, 976, 992]\n",
      "[5, 27, 69, 93, 112, 133, 224, 270, 309, 319, 361, 373, 380, 467, 502, 648, 683, 779, 817, 862, 969, 976, 992]\n",
      "----------------------\n",
      "Sequental matching ratio: 1.000000\n",
      "Index: 16 - 6\n",
      "[66, 127, 131, 230, 252, 268, 314, 345, 389, 436, 460, 495, 515, 564, 580, 623, 664, 734, 765, 768, 786, 793, 815, 832, 838, 857, 887, 949, 963]\n",
      "[66, 127, 131, 230, 252, 268, 314, 345, 389, 436, 460, 495, 515, 564, 580, 623, 664, 734, 765, 768, 786, 793, 815, 832, 838, 857, 887, 949, 963]\n",
      "----------------------\n",
      "Sequental matching ratio: 1.000000\n",
      "Index: 18 - 7\n",
      "[16, 101, 137, 185, 188, 192, 211, 221, 222, 286, 296, 318, 371, 446, 475, 490, 550, 562, 588, 589, 673, 696, 708, 722, 731, 837, 943, 959, 961, 962]\n",
      "[16, 101, 137, 185, 188, 192, 211, 221, 222, 286, 296, 318, 371, 446, 475, 490, 550, 562, 588, 589, 673, 696, 708, 722, 731, 837, 943, 959, 961, 962]\n",
      "----------------------\n",
      "Sequental matching ratio: 1.000000\n",
      "Index: 25 - 3\n",
      "[7, 19, 180, 226, 266, 366, 372, 397, 398, 466, 473, 513, 524, 688, 691, 711, 738, 763, 809, 822, 861, 910, 939, 946, 979]\n",
      "[7, 19, 180, 226, 266, 366, 372, 397, 398, 466, 473, 513, 524, 688, 691, 711, 738, 763, 809, 822, 861, 910, 939, 946, 979]\n",
      "----------------------\n",
      "Sequental matching ratio: 1.000000\n",
      "Index: 36 - 8\n",
      "[17, 18, 40, 84, 202, 203, 299, 313, 331, 385, 442, 474, 529, 552, 568, 591, 606, 656, 670, 755, 917, 920, 973, 989]\n",
      "[17, 18, 40, 84, 202, 203, 299, 313, 331, 385, 442, 474, 529, 552, 568, 591, 606, 656, 670, 755, 917, 920, 973, 989]\n",
      "----------------------\n",
      "Sequental matching ratio: 0.975610\n",
      "Index: 38 - 19\n",
      "[48, 136, 140, 141, 174, 216, 255, 369, 375, 394, 554, 598, 601, 629, 642, 697, 709, 715, 749, 885, 895]\n",
      "[48, 136, 140, 141, 216, 255, 369, 375, 394, 554, 598, 601, 629, 642, 697, 709, 715, 749, 885, 895]\n",
      "----------------------\n",
      "Sequental matching ratio: 0.725275\n",
      "Index: 24 - 15\n",
      "[41, 44, 82, 87, 90, 109, 113, 124, 130, 145, 172, 182, 199, 232, 288, 295, 311, 312, 341, 344, 364, 368, 382, 408, 410, 411, 425, 431, 453, 454, 456, 457, 464, 476, 481, 518, 573, 616, 669, 677, 714, 718, 725, 739, 752, 783, 795, 813, 830, 833, 858, 866, 872, 880, 891, 898, 903, 988]\n",
      "[82, 87, 90, 109, 113, 124, 130, 145, 172, 232, 288, 295, 341, 344, 364, 368, 382, 408, 456, 457, 481, 518, 573, 677, 714, 718, 783, 795, 830, 833, 858, 880, 988]\n",
      "----------------------\n",
      "Sequental matching ratio: 0.725000\n",
      "Index: 3 - 1\n",
      "[11, 63, 81, 123, 154, 158, 165, 166, 190, 245, 260, 261, 277, 291, 307, 326, 328, 343, 353, 378, 393, 396, 406, 438, 459, 501, 535, 622, 627, 633, 655, 667, 675, 679, 704, 706, 742, 747, 770, 787, 804, 825, 835, 836, 870, 874, 882, 900, 908, 944, 977]\n",
      "[81, 158, 165, 166, 261, 277, 291, 326, 328, 343, 393, 406, 438, 459, 501, 535, 622, 655, 667, 675, 742, 747, 770, 787, 804, 836, 870, 874, 882]\n",
      "----------------------\n",
      "Sequental matching ratio: 0.705882\n",
      "Index: 21 - 12\n",
      "[23, 45, 61, 62, 71, 91, 97, 110, 119, 122, 125, 143, 200, 229, 254, 256, 276, 297, 330, 337, 351, 359, 367, 384, 417, 441, 447, 477, 506, 510, 520, 528, 574, 602, 625, 631, 678, 680, 692, 703, 728, 729, 736, 796, 808, 812, 826, 847, 876, 884, 894, 953, 958, 985, 986]\n",
      "[23, 45, 62, 110, 200, 254, 256, 276, 297, 330, 337, 351, 367, 417, 441, 447, 510, 520, 528, 574, 602, 678, 728, 729, 736, 796, 876, 884, 953, 986]\n",
      "----------------------\n",
      "Sequental matching ratio: 0.689655\n",
      "Index: 34 - 14\n",
      "[28, 34, 51, 65, 75, 107, 114, 116, 153, 181, 187, 196, 213, 231, 235, 241, 269, 339, 365, 374, 381, 404, 422, 469, 507, 530, 537, 556, 575, 576, 592, 599, 644, 649, 658, 695, 720, 726, 732, 740, 760, 771, 814, 818, 834, 845, 850, 853, 877, 890, 899, 912, 970, 971, 974]\n",
      "[34, 51, 65, 75, 114, 153, 187, 196, 213, 269, 339, 365, 530, 537, 575, 576, 599, 644, 649, 658, 695, 720, 726, 740, 771, 853, 877, 899, 970, 971]\n",
      "----------------------\n",
      "Sequental matching ratio: 0.674699\n",
      "Index: 23 - 18\n",
      "[68, 73, 95, 99, 115, 132, 139, 152, 179, 204, 215, 218, 259, 272, 304, 320, 327, 334, 360, 418, 435, 486, 487, 492, 493, 505, 559, 569, 579, 593, 595, 619, 634, 636, 660, 662, 663, 672, 687, 717, 723, 741, 745, 750, 800, 802, 820, 844, 875, 878, 881, 888, 905, 921, 934, 980, 999]\n",
      "[73, 95, 99, 115, 132, 152, 204, 215, 304, 327, 334, 418, 435, 486, 559, 569, 634, 660, 662, 663, 717, 741, 745, 844, 875, 905, 921, 934, 980, 999]\n",
      "----------------------\n",
      "Sequental matching ratio: 0.666667\n",
      "Index: 32 - 20\n",
      "[10, 32, 38, 59, 72, 94, 100, 111, 142, 147, 149, 155, 157, 169, 173, 177, 197, 207, 208, 219, 223, 225, 238, 242, 243, 262, 264, 294, 329, 333, 392, 415, 424, 443, 544, 546, 548, 565, 587, 618, 632, 640, 645, 646, 716, 772, 823, 849, 873, 879, 889, 929, 955, 983, 995]\n",
      "[10, 38, 59, 111, 142, 173, 197, 207, 208, 219, 238, 294, 329, 392, 415, 424, 544, 546, 587, 640, 772, 849, 879, 889, 929, 955, 983, 995]\n",
      "----------------------\n",
      "Sequental matching ratio: 0.625000\n",
      "Index: 12 - 21\n",
      "[43, 47, 67, 85, 103, 129, 164, 189, 195, 206, 236, 247, 301, 302, 310, 315, 340, 346, 348, 363, 386, 390, 399, 407, 413, 430, 433, 440, 471, 491, 494, 517, 532, 543, 555, 560, 566, 582, 600, 630, 635, 674, 705, 721, 769, 824, 911, 916, 922, 925, 932, 948, 972, 987]\n",
      "[43, 47, 103, 129, 164, 189, 236, 247, 301, 315, 363, 386, 390, 413, 433, 471, 491, 517, 532, 555, 560, 566, 824, 916, 925, 932, 972]\n",
      "----------------------\n",
      "Sequental matching ratio: 0.574257\n",
      "Index: 20 - 21\n",
      "[43, 47, 67, 85, 103, 129, 164, 189, 195, 206, 236, 247, 301, 302, 310, 315, 340, 346, 348, 363, 386, 390, 399, 407, 413, 430, 433, 440, 471, 491, 494, 517, 532, 543, 555, 560, 566, 582, 600, 630, 635, 674, 705, 721, 769, 824, 911, 916, 922, 925, 932, 948, 972, 987]\n",
      "[67, 85, 195, 206, 302, 310, 340, 346, 348, 399, 407, 430, 440, 494, 543, 582, 600, 630, 635, 674, 705, 721, 769, 911, 922, 948, 987]\n",
      "----------------------\n",
      "Sequental matching ratio: 0.468085\n",
      "Index: 30 - 23\n",
      "[21, 29, 33, 126, 163, 193, 220, 228, 253, 258, 275, 279, 287, 324, 379, 414, 421, 423, 472, 504, 509, 512, 522, 527, 531, 610, 647, 650, 652, 659, 685, 686, 700, 753, 782, 801, 819, 852, 897, 996]\n",
      "[21, 29, 228, 253, 279, 287, 324, 379, 414, 421, 423, 472, 504, 522, 527, 652, 685, 686, 753, 852]\n",
      "----------------------\n"
     ]
    }
   ],
   "source": [
    "limiter = 0.4\n",
    "for i in range(len(gs)):\n",
    "    print(\"graph: %s\" % gnames[i])\n",
    "    getHighestRatios(ratio_A_spinglass[i], 25, com_A[i], get_comms(gs[i], \"comm_spinglass\"), limiter)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Number of communities in test75 graph: 6\n",
      "Wakltrap Communities:\n",
      "[[1, 10, 21, 24, 35, 54, 55], [2, 5, 8, 15, 16, 33, 37, 39, 43, 45, 46, 47, 50, 51, 52, 53, 56, 57, 59, 60, 61, 62, 63, 64, 65, 66, 70, 71, 75], [3, 31, 40], [4, 7, 9, 12, 13, 14, 20, 23, 25, 26, 27, 28, 29, 30, 32, 36, 38, 48, 49, 58, 69, 72, 73, 74], [6, 17, 18, 22, 34, 41, 42, 67, 68], [11, 19, 44]]\n",
      "[[0.6122448979591837, 0.14814814814814814, 0.11764705882352941, 0.0625, 0.21428571428571427, 0.0], [0.04081632653061224, 0.6296296296296297, 0.058823529411764705, 0.1875, 0.0, 0.21428571428571427], [0.32653061224489793, 0.2962962962962963, 0.35294117647058826, 0.1875, 0.0, 0.0], [0.631578947368421, 0.046511627906976744, 0.0, 0.09523809523809523, 0.0, 0.0], [0.0, 0.05405405405405406, 0.8235294117647058, 0.0, 0.0, 0.0], [0.0, 0.3783783783783784, 0.0, 0.0, 0.0, 0.18181818181818182], [0.06896551724137931, 0.11764705882352941, 0.0, 0.0, 0.0, 0.5], [0.1935483870967742, 0.05555555555555555, 0.0, 0.14285714285714285, 0.4, 0.0], [0.09523809523809523, 0.5957446808510638, 0.07407407407407407, 0.0, 0.09523809523809523, 0.0], [0.35294117647058826, 0.15384615384615385, 0.10526315789473684, 0.0, 0.0, 0.0], [0.0, 0.0, 0.0, 0.8333333333333334, 0.0, 0.0]]\n"
     ]
    },
    {
     "data": {
      "image/png": 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S/Fh3f2rpPafr7s9299cluTbJi6tqI276VdXNSY539z1LbzmHG7r765N8e5L/snsT+rzZxngcS3LdaW9fm+ShhbZsnd37Et6W5C3d/fal9+yluz+R5O4kNy085V/ckOTlu/cr3JnkJVX168tO+kLd/dDuy+NJ/mdO3cQ/b7YxHu9P8vyqek5VXZTk1iTvWHjTVti9Q/KXkhzt7tcvvedMVXW4qp65+/qlSW5M8tfLrjqlu1/b3dd29/U59e/cH3b3Kxee9XlVddnuneCpqsuS/Ock5/UnflsXj+5+MskPJ/mDnLrD7ze6+/5lV/2rqrojyZ8meUFVHauqH1x602luSPK9OfVd877dP9+x9KjTXJ3kPVX1lzn1TeJd3b1xPxLdUM9O8t6q+oskf57kd7v798/ngVv3o1pgM2zdlQewGcQDGBEPYEQ8gBHxAEbEAxgRD2BEPICR/wf3IcHexD0kEgAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<Figure size 576x576 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Non-zero values average: 0.389285\n",
      "---------------------------------------\n",
      "Number of communities in test100 graph: 10\n",
      "Wakltrap Communities:\n",
      "[[1, 25, 27, 39, 44], [2, 14, 21, 28, 50, 52, 60, 75, 81], [3, 20, 35, 37, 38, 47, 49, 55, 64, 74, 76, 83, 85, 94, 95, 96, 98], [4, 15, 17, 18, 23, 33, 54, 59, 65, 66, 67, 73, 79, 82, 87, 88, 89], [5, 12, 30, 31, 42, 46, 48, 62, 63, 72, 78, 80, 84, 86, 92, 97, 99, 100], [6, 10, 13, 24, 45, 56, 70], [7, 11, 16, 57, 58, 61, 77, 90, 91, 93], [8, 19, 22, 34, 41], [9, 26, 29, 40, 43], [32, 36, 51, 53, 68, 69, 71]]\n",
      "[[0.32558139534883723, 0.18181818181818182, 0.18604651162790697, 0.06060606060606061, 0.0, 0.0, 0.05714285714285714, 0.24242424242424243, 0.1935483870967742, 0.12903225806451613], [0.18604651162790697, 0.5, 0.0, 0.0, 0.0, 0.3225806451612903, 0.22857142857142856, 0.06060606060606061, 0.0, 0.06451612903225806], [0.24390243902439024, 0.14285714285714285, 0.04878048780487805, 0.06451612903225806, 0.5882352941176471, 0.0, 0.12121212121212122, 0.06451612903225806, 0.06896551724137931, 0.0], [0.04878048780487805, 0.0, 0.5853658536585366, 0.3225806451612903, 0.0, 0.0, 0.12121212121212122, 0.06451612903225806, 0.06896551724137931, 0.13793103448275862], [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 1.0, 0.0], [0.8947368421052632, 0.10256410256410256, 0.10526315789473684, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], [0.0, 0.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, 0.0], [0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], [0.0, 0.5423728813559322, 0.5172413793103449, 0.0, 0.39215686274509803, 0.0, 0.0, 0.0, 0.0, 0.0], [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0], [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0], [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 1.0]]\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 576x576 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Non-zero values average: 0.661001\n",
      "---------------------------------------\n",
      "Number of communities in test400 graph: 15\n",
      "Wakltrap Communities:\n",
      "[[1, 4, 6, 21, 22, 24, 28, 35, 38, 42, 43, 44, 68, 78, 88, 93, 94, 95, 105, 108, 113, 145], [2, 8, 32, 62, 92, 121, 122, 127, 139, 140, 152, 214, 216, 243, 245, 248, 261, 267, 281, 289, 290, 298, 300, 303, 308, 312, 327], [3, 49, 84, 106, 109, 168, 196, 205, 215, 241, 252, 255, 262, 263, 283, 311, 318, 320, 328, 329, 336, 338, 339, 340, 341, 353, 354, 366], [5, 9, 27, 30, 37, 45, 50, 54, 58, 65, 69, 74, 76, 77, 80, 81, 90, 97, 99, 103, 133, 162], [7, 12, 13, 29, 47, 48, 52, 75, 104, 107, 110, 111, 132, 160, 166, 173, 174, 180, 190, 201, 208, 217, 231, 271, 275], [10, 16, 19, 36, 41, 46, 55, 57, 63, 67, 70, 79, 101, 128, 130, 141, 142, 154, 156, 163, 165, 185, 195], [11, 33, 61, 72, 86, 87, 96, 102, 115, 118, 119, 136, 164, 167, 170, 171, 178, 181, 193, 194, 197, 198, 203, 220], [14, 26, 39, 40, 53, 66, 89, 125, 144, 148, 175, 184, 186, 189, 191, 192, 206, 207, 224, 226, 228, 247, 269, 270, 284, 309], [15, 18, 59, 71, 73, 91, 112, 126, 129, 138, 151, 153, 157, 161, 169, 172, 176, 177, 179, 183, 188, 211, 218, 219], [17, 60, 120, 147, 159, 213, 223, 229, 246, 253, 254, 257, 268, 276, 277, 282, 286, 305, 321, 322, 325, 337, 348, 350, 358, 359, 360, 370], [20, 56, 116, 124, 143, 146, 155, 158, 182, 204, 210, 227, 230, 235, 238, 239, 240, 259, 279, 280, 285, 287, 288, 291, 306, 314, 316], [23, 85, 123, 137, 150, 187, 199, 200, 237, 244, 250, 251, 260, 265, 301, 302, 307, 313, 323, 326, 333, 335, 342, 344, 345, 349, 367, 373], [25, 31, 34, 64, 82, 83, 98, 114, 117, 134, 135, 202, 225, 232, 233, 234, 242, 249, 256, 258, 264, 272, 273, 292, 299, 304, 310], [51, 100, 131, 149, 209, 212, 221, 222, 236, 266, 274, 278, 293, 294, 295, 296, 297, 315, 317, 319, 324, 330, 331, 332, 334, 343, 356, 364], [346, 347, 351, 352, 355, 357, 361, 362, 363, 365, 368, 369, 371, 372, 374, 375, 376, 377, 378, 379, 380, 381, 382, 383, 384, 385, 386, 387, 388, 389, 390, 391, 392, 393, 394, 395, 396, 397, 398, 399, 400]]\n",
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BJqOtboOLlhZVvrioAT4ZgEIiKYVEUgqJpBQSSSkkklrxc1xHsqdNUM6eOnV22edMTZf/beG+NUEp64vlNZ7OnS+Xs6X9gSZWaYBPBqCQSEohkZRCIimFRFIKiaT6KoHNbD9wErgIXHD3eTPbBDwKbAf2A/e6+7HkOuU5rkEpG6ldeSgqPaPtZ0vtPx48rrmxch5r7bauq4NjpTnBi8GmPMvpST7m7re4+3zz9f3APnffAexrvpYr0CC/bu4C9jaf7wXuHrw50kX9hsSB75nZ82a2u3lti7u/AdB8vG4UDZTx6/eX3u3uftDMrgOeNrOf9nuDJlS7Ad773vdWNFHGra+exN0PNh8PAU8AO4E3zWwrQPPxUOHcPe4+7+7zc7Nzw2m1tCoNiZnNmNn6S58DnwB+BDwF7Gq+bRfw5KgaKePVz6+bLcATtjS7dhL4prt/x8yeAx4zs/uA14F7sgstunP69Lmex9aune670ZcLH/MMZgRHpXO0xWzN9WqdOnmmeKw0mlt73qrgZ5X+y9z9NeBDPV7/P+CO7HxZ+fSOq6QUEkkpJJJSSCSlkEiq3ZWOgMnJ5Y8C165J1ObeNFEpbkF5WVNuZ6LyuIZ6EkkpJJJSSCSlkEhKIZGUQiKpziz2Gz2bG14zKJCja0Zl9blgGaqZmcI046DMrV1XOCrhw7cMgvvVTK5WTyIphURSComkFBJJKSSSUkgk1ZkVoaPS7MRb5edsN1w7/P1ipoK2lEZ7o5WpT54oT0yO7hUda5N6EkkpJJJSSCSlkEhKIZGUQiKpbtRYiVGUubUrSZeGWM8EE6HXbyhPTK7d6jYSLi1WWPZqWMthyVVKIZGUQiIphURSComkFBJJrYgSODKKErLGmhbvlYlK+LcKK1cvBpssqSeRlEIiKYVEUgqJpBQSSSkkkloR+wJHE4lHMcIabYrU5hJbkdp/27WFDZomJ7QvsAxAIZGUQiIphURSComkWv1TfXHROXO691/lHgwwtT1HdNgL8IarOFUug1RbnZV+yprjKgNRSCSlkEhKIZGUQiIphURS7S72u8qYnOqdy6jsjEq6UYhK1tKKTKMoxWvaMQrqSSSlkEhKIZGUQiIphURSComk+qqjzGwj8CDwQZYGEv8IeAV4FNgO7Afudfdjo2hkVB5Hq/qcOlmeGxttwzqzrrCnDXDq1Nmer68LzolUr7gUqBnFXhX8PPrtSb4KfMfdfwP4EPAycD+wz913APuar+UKlIbEzDYAvwU8BODu59z9OHAXsLf5tr3A3aNqpIxXPz3JrwKHgX8wsxfN7EEzmwG2uPsbAM3H60bYThmjfkIyCXwY+Ht3vxV4m2X8ajGz3Wa2YGYLR44crmymjFM/ITkAHHD3Z5uvH2cpNG+a2VaA5uOhXie7+x53n3f3+dnZuWG0WVqWhsTd/xf4uZm9r3npDuAnwFPArua1XcCTI2mhjF2/tdKfAt8ws2ngNeAPWQrYY2Z2H/A6cE92EQMmJ8uPc5bUPnYZHYuuGR2rLXWLggnIUTtqR829YrHfvkLi7i8B8z0O3dHP+bKy6R1XSSkkklJIJKWQSEohkVS7E6HNwhWNSob9bC6Un4mF4a9mFI70Vk6SPnb0neKxa64pX7N0v2GMAstVTCGRlEIiKYVEUgqJpBQSSVlpVHAkNzM7DPys+XIWONLazWNdacs423GTu/ec8NNqSH7hxmYL7t5rZLl1XWlLV9rxbvp1IymFRFLjDMmeMd773brSlq604xeM7W8SWTn060ZSComkxhISM7vTzF4xs1fNbGzPEJvZfjP7oZm9ZGYLLd/7YTM7ZGY/uuy1TWb2tJn9V/PxPW22qaT1kJjZBPA14HeBDwCfNbMPtN2Oy3zM3W8Zw/sTXwfufNdrnXwIfxw9yU7gVXd/zd3PAY+w9PD5VcXdnwGOvuvlTj6EP46Q3AD8/LKvDzSvjYMD3zOz581s95jacLlOPoQ/jl0He82TG1cdfru7HzSz64CnzeynzX/hcplx9CQHgBsv+3obcHAM7cDdDzYfDwFPsPSrcJz6egi/beMIyXPADjO7uXm2+DMsPXzeKjObMbP1lz4HPgH8KD5r5Dr5EH7rv27c/YKZfR74LjABPOzuP267HcAW4Ilm7bRJ4Jvu/p22bm5m3wI+Csya2QHgC8ADLPMh/DbobXlJ6R1XSSkkklJIJKWQSEohkZRCIimFRFL/D8ussOvJRpPxAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<Figure size 576x576 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Non-zero values average: 0.185530\n",
      "---------------------------------------\n",
      "Number of communities in test1000 graph: 38\n",
      "Wakltrap Communities:\n",
      "[[1, 117, 151, 183, 217, 233, 280, 282, 308, 439, 455, 578, 621, 657, 699, 733, 756, 761, 764, 842, 865, 869, 896, 902, 909, 919, 968, 991], [2, 24, 26, 64, 168, 209, 263, 387, 395, 523, 526, 590, 757, 759, 773, 777, 778, 811, 871, 893, 982], [3, 4, 14, 161, 174, 244, 250, 300, 338, 401, 416, 429, 444, 514, 594, 620, 654, 661, 712, 713, 746, 776, 785, 790, 798, 827, 904, 914, 954, 956], [5, 27, 69, 93, 112, 133, 224, 270, 309, 319, 361, 373, 380, 467, 502, 648, 683, 779, 817, 862, 969, 976, 992], [6, 54, 134, 194, 289, 358, 376, 409, 437, 450, 451, 480, 511, 553, 604, 651, 653, 682, 767, 781, 792, 854, 926, 997], [7, 19, 180, 226, 266, 366, 372, 397, 398, 466, 473, 513, 524, 688, 691, 711, 738, 763, 809, 822, 861, 910, 939, 946, 979], [8, 12, 13, 89, 98, 175, 271, 284, 290, 350, 391, 449, 499, 500, 558, 637, 641, 743, 780, 839, 883, 927, 933, 935, 967, 984], [9, 78, 102, 135, 170, 237, 239, 265, 274, 293, 298, 332, 432, 461, 470, 478, 488, 496, 563, 567, 609, 762, 821, 828, 846, 855, 867, 924, 994], [10, 38, 59, 111, 142, 165, 173, 197, 207, 208, 219, 238, 294, 329, 392, 415, 424, 544, 546, 587, 640, 772, 849, 879, 889, 929, 955, 983, 995], [11, 63, 123, 154, 190, 245, 260, 307, 353, 370, 378, 396, 627, 633, 679, 704, 706, 825, 835, 900, 908, 944, 977], [15, 20, 31, 96, 106, 167, 205, 214, 246, 356, 377, 448, 516, 519, 540, 545, 583, 614, 624, 758, 851, 892, 907], [16, 101, 137, 185, 188, 192, 211, 221, 222, 286, 296, 318, 371, 446, 475, 490, 550, 562, 588, 589, 673, 696, 708, 722, 731, 837, 943, 959, 961, 962], [17, 18, 40, 84, 202, 203, 299, 313, 331, 385, 442, 474, 529, 552, 568, 591, 606, 656, 670, 755, 917, 920, 973, 989], [21, 29, 228, 253, 279, 287, 324, 379, 414, 421, 423, 472, 504, 522, 527, 652, 685, 686, 753, 852], [22, 60, 118, 144, 159, 178, 240, 257, 305, 322, 347, 357, 498, 539, 612, 702, 841, 864, 952, 960, 1000], [23, 45, 62, 110, 200, 254, 256, 276, 297, 330, 337, 351, 367, 417, 441, 447, 510, 520, 528, 574, 602, 678, 728, 729, 736, 796, 876, 884, 953, 986], [25, 30, 53, 74, 128, 148, 176, 191, 273, 285, 292, 335, 383, 412, 434, 445, 549, 551, 613, 628, 693, 775, 794, 816, 840, 966], [28, 107, 116, 181, 231, 235, 241, 374, 381, 404, 422, 469, 507, 556, 592, 732, 760, 814, 818, 834, 845, 850, 890, 912, 974], [32, 72, 94, 100, 147, 149, 155, 157, 169, 177, 223, 225, 243, 262, 264, 333, 443, 548, 565, 618, 632, 645, 646, 716, 823, 873], [33, 126, 163, 193, 220, 258, 275, 509, 512, 531, 610, 647, 650, 659, 700, 782, 801, 819, 897, 996], [34, 51, 65, 75, 114, 187, 196, 213, 269, 339, 365, 530, 537, 575, 576, 599, 644, 649, 658, 695, 720, 726, 740, 771, 853, 877, 899, 970, 971], [35, 121, 186, 251, 316, 325, 352, 403, 420, 458, 485, 503, 571, 577, 607, 643, 684, 754, 942, 981], [36, 42, 104, 138, 146, 160, 249, 323, 349, 405, 462, 483, 484, 508, 534, 597, 638, 676, 694, 719, 829, 831, 886, 901, 906, 918, 993], [37, 49, 57, 86, 105, 120, 198, 281, 317, 468, 497, 521, 538, 541, 547, 557, 584, 586, 605, 608, 617, 671, 707, 730, 744, 774, 807, 975, 998], [39, 56, 70, 77, 80, 150, 184, 248, 267, 303, 355, 362, 427, 452, 482, 525, 596, 666, 681, 690, 701, 784, 805, 863, 868, 930, 938, 947, 957], [41, 44, 50, 153, 182, 199, 212, 283, 311, 312, 354, 408, 410, 411, 419, 425, 426, 431, 453, 454, 464, 465, 476, 561, 585, 616, 639, 669, 725, 737, 739, 752, 788, 789, 797, 810, 813, 866, 872, 891, 898, 903, 915, 928, 936, 964, 965, 990], [43, 47, 103, 129, 164, 189, 236, 247, 301, 315, 363, 386, 390, 413, 433, 471, 491, 517, 532, 555, 560, 566, 824, 916, 925, 932, 972], [46, 52, 76, 83, 108, 171, 306, 321, 388, 400, 402, 428, 572, 603, 626, 710, 727, 799, 843, 856, 859, 931, 937, 940, 950, 978], [48, 136, 140, 141, 216, 255, 369, 375, 394, 554, 598, 601, 629, 642, 697, 709, 715, 749, 885, 895], [55, 58, 92, 210, 336, 342, 463, 489, 533, 536, 570, 581, 615, 665, 668, 724, 748, 791, 806, 848, 913, 945], [61, 71, 91, 97, 119, 122, 125, 143, 229, 359, 384, 477, 506, 625, 631, 680, 692, 703, 808, 812, 826, 847, 894, 958, 985], [66, 127, 131, 230, 252, 268, 314, 345, 389, 436, 460, 495, 515, 564, 580, 623, 664, 734, 765, 768, 786, 793, 815, 832, 838, 857, 887, 949, 963], [67, 85, 195, 206, 302, 310, 340, 346, 348, 399, 407, 430, 440, 494, 543, 582, 600, 630, 635, 674, 705, 721, 769, 911, 922, 948, 987], [68, 139, 179, 218, 259, 272, 320, 360, 487, 492, 493, 505, 579, 593, 595, 619, 636, 672, 687, 723, 750, 800, 802, 820, 878, 881, 888], [73, 95, 99, 115, 132, 152, 204, 215, 304, 327, 334, 418, 435, 486, 559, 569, 634, 660, 662, 663, 717, 741, 745, 844, 875, 905, 921, 934, 980, 999], [79, 88, 156, 162, 201, 227, 234, 278, 479, 542, 611, 689, 698, 735, 751, 766, 803, 860, 923, 941, 951], [81, 158, 166, 261, 277, 291, 326, 328, 343, 393, 406, 438, 459, 501, 535, 622, 655, 667, 675, 742, 747, 770, 787, 804, 836, 870, 874, 882], [82, 87, 90, 109, 113, 124, 130, 145, 172, 232, 242, 288, 295, 341, 344, 364, 368, 382, 456, 457, 481, 518, 573, 677, 714, 718, 783, 795, 830, 833, 858, 880, 988]]\n",
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\n",
      "text/plain": [
       "<Figure size 576x576 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Non-zero values average: 0.805562\n",
      "---------------------------------------\n"
     ]
    }
   ],
   "source": [
    "ratio_A_walktrap, avg_A_walktrap = [], []\n",
    "for i in range(len(gs)):\n",
    "    com_walktrap = get_comms(gs[i], \"comm_walktrap\")\n",
    "    print(\"Number of communities in %s graph: %s\" % (gnames[i], len(com_walktrap)))\n",
    "    print(\"Wakltrap Communities:\")\n",
    "    print(sorted(com_walktrap))\n",
    "    r_A_walktrap = seq_match(com_A[i], com_walktrap)\n",
    "    print(r_A_walktrap)\n",
    "    ratio_A_walktrap.append(r_A_walktrap)\n",
    "    plt.figure(figsize=(8,8))\n",
    "    plt.imshow(r_A_walktrap, cmap=plt.cm.Purples, interpolation='nearest')\n",
    "    plt.show()\n",
    "    a_A_walktrap = nonzeroavg(r_A_walktrap)\n",
    "    print(\"Non-zero values average: %f\" % a_A_walktrap)\n",
    "    avg_A_walktrap.append(a_A_walktrap)\n",
    "    print(sprtr)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 72,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[41, 44, 50, 182, 199, 212, 283, 311, 312, 354, 410, 411, 419, 425, 426, 431, 453, 454, 464, 465, 476, 561, 585, 616, 639, 669, 725, 737, 739, 752, 788, 789, 797, 810, 813, 866, 872, 891, 898, 903, 915, 928, 936, 964, 965, 990]\n",
      "[41, 44, 50, 153, 182, 199, 212, 283, 311, 312, 354, 408, 410, 411, 419, 425, 426, 431, 453, 454, 464, 465, 476, 561, 585, 616, 639, 669, 725, 737, 739, 752, 788, 789, 797, 810, 813, 866, 872, 891, 898, 903, 915, 928, 936, 964, 965, 990]\n"
     ]
    }
   ],
   "source": [
    "tt = sorted(get_comm(gs[3], \"Cluster_ID_A\", 22))\n",
    "tt = tt + (get_comm(gs[3], \"Cluster_ID_A\", 29))\n",
    "print(sorted(tt))\n",
    "print(sorted(get_comm(gs[3], \"comm_walktrap\", 0)))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "graph: test75\n",
      "Sequental matching ratio: 0.833333\n",
      "Index: 10 - 3\n",
      "[1, 10, 21, 24, 35, 54, 55]\n",
      "[1, 21, 35, 54, 55]\n",
      "----------------------\n",
      "Sequental matching ratio: 0.823529\n",
      "Index: 4 - 2\n",
      "[6, 17, 18, 22, 34, 41, 42, 67, 68]\n",
      "[6, 18, 34, 41, 42, 59, 67, 68]\n",
      "----------------------\n",
      "Sequental matching ratio: 0.631579\n",
      "Index: 3 - 0\n",
      "[4, 7, 9, 12, 13, 14, 20, 23, 25, 26, 27, 28, 29, 30, 32, 36, 38, 48, 49, 58, 69, 72, 73, 74]\n",
      "[9, 10, 14, 23, 26, 29, 30, 38, 48, 58, 61, 69, 73, 74]\n",
      "----------------------\n",
      "Sequental matching ratio: 0.629630\n",
      "Index: 1 - 1\n",
      "[2, 5, 8, 15, 16, 33, 37, 39, 43, 45, 46, 47, 50, 51, 52, 53, 56, 57, 59, 60, 61, 62, 63, 64, 65, 66, 70, 71, 75]\n",
      "[1, 10, 11, 15, 16, 19, 23, 37, 42, 43, 44, 45, 46, 47, 50, 52, 55, 56, 57, 59, 61, 66, 70, 71, 75]\n",
      "----------------------\n",
      "Sequental matching ratio: 0.612245\n",
      "Index: 0 - 0\n",
      "[4, 7, 9, 12, 13, 14, 20, 23, 25, 26, 27, 28, 29, 30, 32, 36, 38, 48, 49, 58, 69, 72, 73, 74]\n",
      "[3, 4, 5, 6, 8, 12, 13, 17, 20, 26, 27, 29, 30, 31, 35, 36, 39, 40, 48, 49, 58, 62, 69, 72, 73]\n",
      "----------------------\n",
      "Sequental matching ratio: 0.595745\n",
      "Index: 8 - 1\n",
      "[2, 5, 8, 15, 16, 33, 37, 39, 43, 45, 46, 47, 50, 51, 52, 53, 56, 57, 59, 60, 61, 62, 63, 64, 65, 66, 70, 71, 75]\n",
      "[3, 8, 13, 15, 16, 17, 20, 43, 47, 51, 52, 57, 60, 62, 63, 64, 70, 75]\n",
      "----------------------\n",
      "Sequental matching ratio: 0.500000\n",
      "Index: 6 - 5\n",
      "[11, 19, 44]\n",
      "[11, 27, 37, 44, 46]\n",
      "----------------------\n",
      "graph: test100\n",
      "Sequental matching ratio: 1.000000\n",
      "Index: 4 - 8\n",
      "[8, 19, 22, 34, 41]\n",
      "[8, 19, 22, 34, 41]\n",
      "----------------------\n",
      "Sequental matching ratio: 1.000000\n",
      "Index: 6 - 5\n",
      "[1, 25, 27, 39, 44]\n",
      "[1, 25, 27, 39, 44]\n",
      "----------------------\n",
      "Sequental matching ratio: 1.000000\n",
      "Index: 7 - 3\n",
      "[32, 36, 51, 53, 68, 69, 71]\n",
      "[32, 36, 51, 53, 68, 69, 71]\n",
      "----------------------\n",
      "Sequental matching ratio: 1.000000\n",
      "Index: 9 - 7\n",
      "[6, 10, 13, 24, 45, 56, 70]\n",
      "[6, 10, 13, 24, 45, 56, 70]\n",
      "----------------------\n",
      "Sequental matching ratio: 1.000000\n",
      "Index: 10 - 6\n",
      "[2, 14, 21, 28, 50, 52, 60, 75, 81]\n",
      "[2, 14, 21, 28, 50, 52, 60, 75, 81]\n",
      "----------------------\n",
      "Sequental matching ratio: 1.000000\n",
      "Index: 11 - 9\n",
      "[9, 26, 29, 40, 43]\n",
      "[9, 26, 29, 40, 43]\n",
      "----------------------\n",
      "Sequental matching ratio: 0.894737\n",
      "Index: 5 - 0\n",
      "[4, 15, 17, 18, 23, 33, 54, 59, 65, 66, 67, 73, 79, 82, 87, 88, 89]\n",
      "[4, 15, 17, 18, 23, 33, 46, 54, 59, 65, 66, 67, 73, 79, 82, 87, 88, 89, 95, 96, 99]\n",
      "----------------------\n",
      "Sequental matching ratio: 0.588235\n",
      "Index: 2 - 4\n",
      "[7, 11, 16, 57, 58, 61, 77, 90, 91, 93]\n",
      "[7, 11, 14, 16, 19, 23, 30, 31, 37, 42, 45, 57, 58, 59, 61, 65, 66, 68, 77, 79, 81, 90, 91, 93]\n",
      "----------------------\n",
      "Sequental matching ratio: 0.585366\n",
      "Index: 3 - 2\n",
      "[3, 20, 35, 37, 38, 47, 49, 55, 64, 74, 76, 83, 85, 94, 95, 96, 98]\n",
      "[9, 20, 21, 22, 35, 36, 40, 47, 49, 51, 53, 55, 56, 60, 64, 69, 71, 74, 82, 85, 94, 95, 96, 98]\n",
      "----------------------\n",
      "Sequental matching ratio: 0.542373\n",
      "Index: 8 - 1\n",
      "[5, 12, 30, 31, 42, 46, 48, 62, 63, 72, 78, 80, 84, 86, 92, 97, 99, 100]\n",
      "[3, 5, 7, 11, 12, 16, 20, 30, 31, 35, 37, 38, 42, 47, 48, 49, 55, 57, 58, 61, 62, 63, 64, 72, 74, 76, 77, 78, 80, 83, 84, 85, 86, 90, 91, 92, 93, 94, 97, 98, 100]\n",
      "----------------------\n",
      "Sequental matching ratio: 0.517241\n",
      "Index: 8 - 2\n",
      "[3, 20, 35, 37, 38, 47, 49, 55, 64, 74, 76, 83, 85, 94, 95, 96, 98]\n",
      "[3, 5, 7, 11, 12, 16, 20, 30, 31, 35, 37, 38, 42, 47, 48, 49, 55, 57, 58, 61, 62, 63, 64, 72, 74, 76, 77, 78, 80, 83, 84, 85, 86, 90, 91, 92, 93, 94, 97, 98, 100]\n",
      "----------------------\n",
      "Sequental matching ratio: 0.500000\n",
      "Index: 1 - 1\n",
      "[5, 12, 30, 31, 42, 46, 48, 62, 63, 72, 78, 80, 84, 86, 92, 97, 99, 100]\n",
      "[1, 2, 6, 15, 17, 25, 27, 28, 39, 43, 44, 46, 50, 52, 54, 62, 63, 67, 72, 78, 80, 84, 86, 92, 99, 100]\n",
      "----------------------\n",
      "graph: test400\n",
      "Sequental matching ratio: 1.000000\n",
      "Index: 0 - 11\n",
      "[51, 100, 131, 149, 209, 212, 221, 222, 236, 266, 274, 278, 293, 294, 295, 296, 297, 315, 317, 319, 324, 330, 331, 332, 334, 343, 356, 364]\n",
      "[51, 100, 131, 149, 209, 212, 221, 222, 236, 266, 274, 278, 293, 294, 295, 296, 297, 315, 317, 319, 324, 330, 331, 332, 334, 343, 356, 364]\n",
      "----------------------\n",
      "Sequental matching ratio: 1.000000\n",
      "Index: 1 - 7\n",
      "[25, 31, 34, 64, 82, 83, 98, 114, 117, 134, 135, 202, 225, 232, 233, 234, 242, 249, 256, 258, 264, 272, 273, 292, 299, 304, 310]\n",
      "[25, 31, 34, 64, 82, 83, 98, 114, 117, 134, 135, 202, 225, 232, 233, 234, 242, 249, 256, 258, 264, 272, 273, 292, 299, 304, 310]\n",
      "----------------------\n",
      "Sequental matching ratio: 1.000000\n",
      "Index: 2 - 14\n",
      "[11, 33, 61, 72, 86, 87, 96, 102, 115, 118, 119, 136, 164, 167, 170, 171, 178, 181, 193, 194, 197, 198, 203, 220]\n",
      "[11, 33, 61, 72, 86, 87, 96, 102, 115, 118, 119, 136, 164, 167, 170, 171, 178, 181, 193, 194, 197, 198, 203, 220]\n",
      "----------------------\n",
      "Sequental matching ratio: 1.000000\n",
      "Index: 3 - 9\n",
      "[3, 49, 84, 106, 109, 168, 196, 205, 215, 241, 252, 255, 262, 263, 283, 311, 318, 320, 328, 329, 336, 338, 339, 340, 341, 353, 354, 366]\n",
      "[3, 49, 84, 106, 109, 168, 196, 205, 215, 241, 252, 255, 262, 263, 283, 311, 318, 320, 328, 329, 336, 338, 339, 340, 341, 353, 354, 366]\n",
      "----------------------\n",
      "Sequental matching ratio: 1.000000\n",
      "Index: 4 - 1\n",
      "[14, 26, 39, 40, 53, 66, 89, 125, 144, 148, 175, 184, 186, 189, 191, 192, 206, 207, 224, 226, 228, 247, 269, 270, 284, 309]\n",
      "[14, 26, 39, 40, 53, 66, 89, 125, 144, 148, 175, 184, 186, 189, 191, 192, 206, 207, 224, 226, 228, 247, 269, 270, 284, 309]\n",
      "----------------------\n",
      "Sequental matching ratio: 1.000000\n",
      "Index: 5 - 13\n",
      "[20, 56, 116, 124, 143, 146, 155, 158, 182, 204, 210, 227, 230, 235, 238, 239, 240, 259, 279, 280, 285, 287, 288, 291, 306, 314, 316]\n",
      "[20, 56, 116, 124, 143, 146, 155, 158, 182, 204, 210, 227, 230, 235, 238, 239, 240, 259, 279, 280, 285, 287, 288, 291, 306, 314, 316]\n",
      "----------------------\n",
      "Sequental matching ratio: 1.000000\n",
      "Index: 6 - 10\n",
      "[15, 18, 59, 71, 73, 91, 112, 126, 129, 138, 151, 153, 157, 161, 169, 172, 176, 177, 179, 183, 188, 211, 218, 219]\n",
      "[15, 18, 59, 71, 73, 91, 112, 126, 129, 138, 151, 153, 157, 161, 169, 172, 176, 177, 179, 183, 188, 211, 218, 219]\n",
      "----------------------\n",
      "Sequental matching ratio: 1.000000\n",
      "Index: 7 - 2\n",
      "[2, 8, 32, 62, 92, 121, 122, 127, 139, 140, 152, 214, 216, 243, 245, 248, 261, 267, 281, 289, 290, 298, 300, 303, 308, 312, 327]\n",
      "[2, 8, 32, 62, 92, 121, 122, 127, 139, 140, 152, 214, 216, 243, 245, 248, 261, 267, 281, 289, 290, 298, 300, 303, 308, 312, 327]\n",
      "----------------------\n",
      "Sequental matching ratio: 1.000000\n",
      "Index: 8 - 6\n",
      "[17, 60, 120, 147, 159, 213, 223, 229, 246, 253, 254, 257, 268, 276, 277, 282, 286, 305, 321, 322, 325, 337, 348, 350, 358, 359, 360, 370]\n",
      "[17, 60, 120, 147, 159, 213, 223, 229, 246, 253, 254, 257, 268, 276, 277, 282, 286, 305, 321, 322, 325, 337, 348, 350, 358, 359, 360, 370]\n",
      "----------------------\n",
      "Sequental matching ratio: 1.000000\n",
      "Index: 9 - 0\n",
      "[346, 347, 351, 352, 355, 357, 361, 362, 363, 365, 368, 369, 371, 372, 374, 375, 376, 377, 378, 379, 380, 381, 382, 383, 384, 385, 386, 387, 388, 389, 390, 391, 392, 393, 394, 395, 396, 397, 398, 399, 400]\n",
      "[346, 347, 351, 352, 355, 357, 361, 362, 363, 365, 368, 369, 371, 372, 374, 375, 376, 377, 378, 379, 380, 381, 382, 383, 384, 385, 386, 387, 388, 389, 390, 391, 392, 393, 394, 395, 396, 397, 398, 399, 400]\n",
      "----------------------\n",
      "Sequental matching ratio: 1.000000\n",
      "Index: 10 - 12\n",
      "[5, 9, 27, 30, 37, 45, 50, 54, 58, 65, 69, 74, 76, 77, 80, 81, 90, 97, 99, 103, 133, 162]\n",
      "[5, 9, 27, 30, 37, 45, 50, 54, 58, 65, 69, 74, 76, 77, 80, 81, 90, 97, 99, 103, 133, 162]\n",
      "----------------------\n",
      "Sequental matching ratio: 1.000000\n",
      "Index: 11 - 8\n",
      "[1, 4, 6, 21, 22, 24, 28, 35, 38, 42, 43, 44, 68, 78, 88, 93, 94, 95, 105, 108, 113, 145]\n",
      "[1, 4, 6, 21, 22, 24, 28, 35, 38, 42, 43, 44, 68, 78, 88, 93, 94, 95, 105, 108, 113, 145]\n",
      "----------------------\n",
      "Sequental matching ratio: 1.000000\n",
      "Index: 12 - 3\n",
      "[10, 16, 19, 36, 41, 46, 55, 57, 63, 67, 70, 79, 101, 128, 130, 141, 142, 154, 156, 163, 165, 185, 195]\n",
      "[10, 16, 19, 36, 41, 46, 55, 57, 63, 67, 70, 79, 101, 128, 130, 141, 142, 154, 156, 163, 165, 185, 195]\n",
      "----------------------\n",
      "Sequental matching ratio: 1.000000\n",
      "Index: 13 - 4\n",
      "[7, 12, 13, 29, 47, 48, 52, 75, 104, 107, 110, 111, 132, 160, 166, 173, 174, 180, 190, 201, 208, 217, 231, 271, 275]\n",
      "[7, 12, 13, 29, 47, 48, 52, 75, 104, 107, 110, 111, 132, 160, 166, 173, 174, 180, 190, 201, 208, 217, 231, 271, 275]\n",
      "----------------------\n",
      "graph: test1000\n",
      "Sequental matching ratio: 1.000000\n",
      "Index: 0 - 34\n",
      "[25, 30, 53, 74, 128, 148, 176, 191, 273, 285, 292, 335, 383, 412, 434, 445, 549, 551, 613, 628, 693, 775, 794, 816, 840, 966]\n",
      "[25, 30, 53, 74, 128, 148, 176, 191, 273, 285, 292, 335, 383, 412, 434, 445, 549, 551, 613, 628, 693, 775, 794, 816, 840, 966]\n",
      "----------------------\n",
      "Sequental matching ratio: 1.000000\n",
      "Index: 2 - 35\n",
      "[79, 88, 156, 162, 201, 227, 234, 278, 479, 542, 611, 689, 698, 735, 751, 766, 803, 860, 923, 941, 951]\n",
      "[79, 88, 156, 162, 201, 227, 234, 278, 479, 542, 611, 689, 698, 735, 751, 766, 803, 860, 923, 941, 951]\n",
      "----------------------\n",
      "Sequental matching ratio: 1.000000\n",
      "Index: 4 - 13\n",
      "[37, 49, 57, 86, 105, 120, 198, 281, 317, 468, 497, 521, 538, 541, 547, 557, 584, 586, 605, 608, 617, 671, 707, 730, 744, 774, 807, 975, 998]\n",
      "[37, 49, 57, 86, 105, 120, 198, 281, 317, 468, 497, 521, 538, 541, 547, 557, 584, 586, 605, 608, 617, 671, 707, 730, 744, 774, 807, 975, 998]\n",
      "----------------------\n",
      "Sequental matching ratio: 1.000000\n",
      "Index: 5 - 23\n",
      "[1, 117, 151, 183, 217, 233, 280, 282, 308, 439, 455, 578, 621, 657, 699, 733, 756, 761, 764, 842, 865, 869, 896, 902, 909, 919, 968, 991]\n",
      "[1, 117, 151, 183, 217, 233, 280, 282, 308, 439, 455, 578, 621, 657, 699, 733, 756, 761, 764, 842, 865, 869, 896, 902, 909, 919, 968, 991]\n",
      "----------------------\n",
      "Sequental matching ratio: 1.000000\n",
      "Index: 6 - 26\n",
      "[55, 58, 92, 210, 336, 342, 463, 489, 533, 536, 570, 581, 615, 665, 668, 724, 748, 791, 806, 848, 913, 945]\n",
      "[55, 58, 92, 210, 336, 342, 463, 489, 533, 536, 570, 581, 615, 665, 668, 724, 748, 791, 806, 848, 913, 945]\n",
      "----------------------\n",
      "Sequental matching ratio: 1.000000\n",
      "Index: 7 - 21\n",
      "[2, 24, 26, 64, 168, 209, 263, 387, 395, 523, 526, 590, 757, 759, 773, 777, 778, 811, 871, 893, 982]\n",
      "[2, 24, 26, 64, 168, 209, 263, 387, 395, 523, 526, 590, 757, 759, 773, 777, 778, 811, 871, 893, 982]\n",
      "----------------------\n",
      "Sequental matching ratio: 1.000000\n",
      "Index: 8 - 31\n",
      "[39, 56, 70, 77, 80, 150, 184, 248, 267, 303, 355, 362, 427, 452, 482, 525, 596, 666, 681, 690, 701, 784, 805, 863, 868, 930, 938, 947, 957]\n",
      "[39, 56, 70, 77, 80, 150, 184, 248, 267, 303, 355, 362, 427, 452, 482, 525, 596, 666, 681, 690, 701, 784, 805, 863, 868, 930, 938, 947, 957]\n",
      "----------------------\n",
      "Sequental matching ratio: 1.000000\n",
      "Index: 9 - 14\n",
      "[22, 60, 118, 144, 159, 178, 240, 257, 305, 322, 347, 357, 498, 539, 612, 702, 841, 864, 952, 960, 1000]\n",
      "[22, 60, 118, 144, 159, 178, 240, 257, 305, 322, 347, 357, 498, 539, 612, 702, 841, 864, 952, 960, 1000]\n",
      "----------------------\n",
      "Sequental matching ratio: 1.000000\n",
      "Index: 11 - 20\n",
      "[5, 27, 69, 93, 112, 133, 224, 270, 309, 319, 361, 373, 380, 467, 502, 648, 683, 779, 817, 862, 969, 976, 992]\n",
      "[5, 27, 69, 93, 112, 133, 224, 270, 309, 319, 361, 373, 380, 467, 502, 648, 683, 779, 817, 862, 969, 976, 992]\n",
      "----------------------\n",
      "Sequental matching ratio: 1.000000\n",
      "Index: 12 - 4\n",
      "[43, 47, 103, 129, 164, 189, 236, 247, 301, 315, 363, 386, 390, 413, 433, 471, 491, 517, 532, 555, 560, 566, 824, 916, 925, 932, 972]\n",
      "[43, 47, 103, 129, 164, 189, 236, 247, 301, 315, 363, 386, 390, 413, 433, 471, 491, 517, 532, 555, 560, 566, 824, 916, 925, 932, 972]\n",
      "----------------------\n",
      "Sequental matching ratio: 1.000000\n",
      "Index: 13 - 29\n",
      "[28, 107, 116, 181, 231, 235, 241, 374, 381, 404, 422, 469, 507, 556, 592, 732, 760, 814, 818, 834, 845, 850, 890, 912, 974]\n",
      "[28, 107, 116, 181, 231, 235, 241, 374, 381, 404, 422, 469, 507, 556, 592, 732, 760, 814, 818, 834, 845, 850, 890, 912, 974]\n",
      "----------------------\n",
      "Sequental matching ratio: 1.000000\n",
      "Index: 14 - 18\n",
      "[46, 52, 76, 83, 108, 171, 306, 321, 388, 400, 402, 428, 572, 603, 626, 710, 727, 799, 843, 856, 859, 931, 937, 940, 950, 978]\n",
      "[46, 52, 76, 83, 108, 171, 306, 321, 388, 400, 402, 428, 572, 603, 626, 710, 727, 799, 843, 856, 859, 931, 937, 940, 950, 978]\n",
      "----------------------\n",
      "Sequental matching ratio: 1.000000\n",
      "Index: 16 - 11\n",
      "[66, 127, 131, 230, 252, 268, 314, 345, 389, 436, 460, 495, 515, 564, 580, 623, 664, 734, 765, 768, 786, 793, 815, 832, 838, 857, 887, 949, 963]\n",
      "[66, 127, 131, 230, 252, 268, 314, 345, 389, 436, 460, 495, 515, 564, 580, 623, 664, 734, 765, 768, 786, 793, 815, 832, 838, 857, 887, 949, 963]\n",
      "----------------------\n",
      "Sequental matching ratio: 1.000000\n",
      "Index: 17 - 28\n",
      "[61, 71, 91, 97, 119, 122, 125, 143, 229, 359, 384, 477, 506, 625, 631, 680, 692, 703, 808, 812, 826, 847, 894, 958, 985]\n",
      "[61, 71, 91, 97, 119, 122, 125, 143, 229, 359, 384, 477, 506, 625, 631, 680, 692, 703, 808, 812, 826, 847, 894, 958, 985]\n",
      "----------------------\n",
      "Sequental matching ratio: 1.000000\n",
      "Index: 18 - 16\n",
      "[16, 101, 137, 185, 188, 192, 211, 221, 222, 286, 296, 318, 371, 446, 475, 490, 550, 562, 588, 589, 673, 696, 708, 722, 731, 837, 943, 959, 961, 962]\n",
      "[16, 101, 137, 185, 188, 192, 211, 221, 222, 286, 296, 318, 371, 446, 475, 490, 550, 562, 588, 589, 673, 696, 708, 722, 731, 837, 943, 959, 961, 962]\n",
      "----------------------\n",
      "Sequental matching ratio: 1.000000\n",
      "Index: 19 - 10\n",
      "[15, 20, 31, 96, 106, 167, 205, 214, 246, 356, 377, 448, 516, 519, 540, 545, 583, 614, 624, 758, 851, 892, 907]\n",
      "[15, 20, 31, 96, 106, 167, 205, 214, 246, 356, 377, 448, 516, 519, 540, 545, 583, 614, 624, 758, 851, 892, 907]\n",
      "----------------------\n",
      "Sequental matching ratio: 1.000000\n",
      "Index: 20 - 7\n",
      "[67, 85, 195, 206, 302, 310, 340, 346, 348, 399, 407, 430, 440, 494, 543, 582, 600, 630, 635, 674, 705, 721, 769, 911, 922, 948, 987]\n",
      "[67, 85, 195, 206, 302, 310, 340, 346, 348, 399, 407, 430, 440, 494, 543, 582, 600, 630, 635, 674, 705, 721, 769, 911, 922, 948, 987]\n",
      "----------------------\n",
      "Sequental matching ratio: 1.000000\n",
      "Index: 21 - 1\n",
      "[23, 45, 62, 110, 200, 254, 256, 276, 297, 330, 337, 351, 367, 417, 441, 447, 510, 520, 528, 574, 602, 678, 728, 729, 736, 796, 876, 884, 953, 986]\n",
      "[23, 45, 62, 110, 200, 254, 256, 276, 297, 330, 337, 351, 367, 417, 441, 447, 510, 520, 528, 574, 602, 678, 728, 729, 736, 796, 876, 884, 953, 986]\n",
      "----------------------\n",
      "Sequental matching ratio: 1.000000\n",
      "Index: 23 - 17\n",
      "[73, 95, 99, 115, 132, 152, 204, 215, 304, 327, 334, 418, 435, 486, 559, 569, 634, 660, 662, 663, 717, 741, 745, 844, 875, 905, 921, 934, 980, 999]\n",
      "[73, 95, 99, 115, 132, 152, 204, 215, 304, 327, 334, 418, 435, 486, 559, 569, 634, 660, 662, 663, 717, 741, 745, 844, 875, 905, 921, 934, 980, 999]\n",
      "----------------------\n",
      "Sequental matching ratio: 1.000000\n",
      "Index: 25 - 24\n",
      "[7, 19, 180, 226, 266, 366, 372, 397, 398, 466, 473, 513, 524, 688, 691, 711, 738, 763, 809, 822, 861, 910, 939, 946, 979]\n",
      "[7, 19, 180, 226, 266, 366, 372, 397, 398, 466, 473, 513, 524, 688, 691, 711, 738, 763, 809, 822, 861, 910, 939, 946, 979]\n",
      "----------------------\n",
      "Sequental matching ratio: 1.000000\n",
      "Index: 26 - 12\n",
      "[35, 121, 186, 251, 316, 325, 352, 403, 420, 458, 485, 503, 571, 577, 607, 643, 684, 754, 942, 981]\n",
      "[35, 121, 186, 251, 316, 325, 352, 403, 420, 458, 485, 503, 571, 577, 607, 643, 684, 754, 942, 981]\n",
      "----------------------\n",
      "Sequental matching ratio: 1.000000\n",
      "Index: 27 - 32\n",
      "[36, 42, 104, 138, 146, 160, 249, 323, 349, 405, 462, 483, 484, 508, 534, 597, 638, 676, 694, 719, 829, 831, 886, 901, 906, 918, 993]\n",
      "[36, 42, 104, 138, 146, 160, 249, 323, 349, 405, 462, 483, 484, 508, 534, 597, 638, 676, 694, 719, 829, 831, 886, 901, 906, 918, 993]\n",
      "----------------------\n",
      "Sequental matching ratio: 1.000000\n",
      "Index: 28 - 22\n",
      "[8, 12, 13, 89, 98, 175, 271, 284, 290, 350, 391, 449, 499, 500, 558, 637, 641, 743, 780, 839, 883, 927, 933, 935, 967, 984]\n",
      "[8, 12, 13, 89, 98, 175, 271, 284, 290, 350, 391, 449, 499, 500, 558, 637, 641, 743, 780, 839, 883, 927, 933, 935, 967, 984]\n",
      "----------------------\n",
      "Sequental matching ratio: 1.000000\n",
      "Index: 30 - 2\n",
      "[21, 29, 228, 253, 279, 287, 324, 379, 414, 421, 423, 472, 504, 522, 527, 652, 685, 686, 753, 852]\n",
      "[21, 29, 228, 253, 279, 287, 324, 379, 414, 421, 423, 472, 504, 522, 527, 652, 685, 686, 753, 852]\n",
      "----------------------\n",
      "Sequental matching ratio: 1.000000\n",
      "Index: 31 - 6\n",
      "[9, 78, 102, 135, 170, 237, 239, 265, 274, 293, 298, 332, 432, 461, 470, 478, 488, 496, 563, 567, 609, 762, 821, 828, 846, 855, 867, 924, 994]\n",
      "[9, 78, 102, 135, 170, 237, 239, 265, 274, 293, 298, 332, 432, 461, 470, 478, 488, 496, 563, 567, 609, 762, 821, 828, 846, 855, 867, 924, 994]\n",
      "----------------------\n"
     ]
    }
   ],
   "source": [
    "limiter = 0.4\n",
    "for i in range(len(gs)):\n",
    "    print(\"graph: %s\" % gnames[i])\n",
    "    getHighestRatios(ratio_A_walktrap[i], 25, com_A[i], get_comms(gs[i], \"comm_walktrap\"), limiter)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Number of communities in test75 graph: 6\n",
      "Louvain Communities:\n",
      "[[1, 21, 24, 35, 43, 54, 55, 59], [2, 5, 19, 39, 53, 56, 65, 66], [3, 4, 7, 11, 12, 13, 25, 28, 31, 32, 33, 36, 40, 44, 49, 71, 72], [6, 17, 18, 22, 34, 41, 42, 67, 68], [8, 15, 16, 20, 37, 45, 46, 47, 50, 51, 52, 57, 60, 62, 63, 64, 70, 75], [9, 10, 14, 23, 26, 27, 29, 30, 38, 48, 58, 61, 69, 73, 74]]\n",
      "[[0.12121212121212122, 0.06060606060606061, 0.11764705882352941, 0.42857142857142855, 0.4, 0.13953488372093023], [0.18181818181818182, 0.24242424242424243, 0.058823529411764705, 0.14285714285714285, 0.15, 0.5116279069767442], [0.18181818181818182, 0.18181818181818182, 0.35294117647058826, 0.23809523809523808, 0.2, 0.18604651162790697], [0.0, 0.0, 0.0, 0.0, 0.9655172413793104, 0.0], [0.0, 0.125, 0.8235294117647058, 0.0, 0.0, 0.0], [1.0, 0.0, 0.0, 0.0, 0.0, 0.0], [0.0, 0.0, 0.0, 0.18181818181818182, 0.1, 0.17391304347826086], [0.0, 0.13333333333333333, 0.0, 0.4166666666666667, 0.0, 0.08], [0.0, 0.07692307692307693, 0.07407407407407407, 0.11428571428571428, 0.0, 0.7777777777777778], [0.0, 0.0, 0.10526315789473684, 0.5925925925925926, 0.0, 0.07142857142857142], [0.0, 0.7692307692307693, 0.0, 0.0, 0.0, 0.0]]\n"
     ]
    },
    {
     "data": {
      "image/png": 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VPSPJ25L8WHc/vPSe83X333T3Nye5IcnNVbUVd/2q6vYkD3b3yaW3HOCW7n5xku9K8iP7d6EvmV2Mx+kkN553+YYkn1xoy87ZfyzhbUne1N1vX3rPKt392STvS3LrwlP+v1uSfM/+4wpvSfKyqvrVZSd9te7+5P7fDyb5tZy7i3/J7GI8PpDk+VX1vKq6PMkrk7xj4U07Yf8ByV9Mcqq7f37pPReqquNV9az9j69M8ookf7LsqnO6+6e7+4buvinn/p17T3e/euFZX1FVV+0/CJ6quirJv0hySZ/x27l4dPfjSX40yW/l3AN+/7O771921d+qqjcn+b0kL6iq01X1Q0tvOs8tSV6Tcz8179v/c9vSo87znCTvrao/yrkfEu/q7q17SnRLPTvJ+6vqD5P8QZL/1d3vvJQH3LmnaoHtsHNnHsB2EA9gRDyAEfEARsQDGBEPYEQ8gBHxAEb+H/vqvGNfvD/qAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<Figure size 576x576 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Non-zero values average: 0.405118\n",
      "---------------------------------------\n",
      "Number of communities in test100 graph: 7\n",
      "Louvain Communities:\n",
      "[[1, 25, 27, 30, 31, 39, 44, 46, 54, 62, 63, 72, 78, 80, 84, 86, 92, 99, 100], [2, 14, 21, 28, 50, 52, 57, 60, 75, 81], [3, 4, 6, 8, 10, 12, 13, 19, 22, 24, 34, 41, 45, 48, 49, 56, 70, 76, 77, 97], [5, 15, 17, 18, 23, 33, 65, 66, 67, 73, 79, 82, 87, 88, 89], [7, 11, 16, 35, 42, 47, 58, 59, 61, 83, 90, 91, 93], [9, 26, 29, 40, 43], [20, 32, 36, 37, 38, 51, 53, 55, 64, 68, 69, 71, 74, 85, 94, 95, 96, 98]]\n",
      "[[0.12903225806451613, 0.05555555555555555, 0.34146341463414637, 0.05128205128205128, 0.5652173913043478, 0.09090909090909091, 0.0], [0.06451612903225806, 0.2222222222222222, 0.14634146341463414, 0.0, 0.043478260869565216, 0.0, 0.7555555555555555], [0.0, 0.17647058823529413, 0.20512820512820512, 0.5405405405405406, 0.13636363636363635, 0.09523809523809523, 0.09302325581395349], [0.13793103448275862, 0.11764705882352941, 0.05128205128205128, 0.10810810810810811, 0.13636363636363635, 0.6666666666666666, 0.0], [0.0, 0.0, 0.0, 0.0, 0.4, 0.0, 0.0], [0.0, 0.0, 0.7777777777777778, 0.058823529411764705, 0.04878048780487805, 0.10256410256410256, 0.15], [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.4166666666666667], [0.0, 0.0, 0.0, 0.0, 0.0, 0.56, 0.0], [0.0, 0.0392156862745098, 0.03571428571428571, 0.4444444444444444, 0.22950819672131148, 0.3050847457627119, 0.36666666666666664], [0.0, 0.0, 0.0, 0.0, 0.5185185185185185, 0.0, 0.0], [0.0, 0.9473684210526315, 0.0, 0.0, 0.0, 0.0, 0.0], [1.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0]]\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 576x576 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Non-zero values average: 0.445437\n",
      "---------------------------------------\n",
      "Number of communities in test400 graph: 15\n",
      "Louvain Communities:\n",
      "[[1, 4, 6, 21, 22, 24, 28, 35, 38, 42, 43, 44, 68, 78, 88, 93, 94, 95, 105, 108, 113, 145], [2, 8, 32, 62, 92, 121, 122, 127, 139, 140, 152, 214, 216, 243, 245, 248, 261, 267, 281, 289, 290, 298, 300, 303, 308, 312, 327], [3, 49, 84, 106, 109, 168, 196, 205, 215, 241, 252, 255, 262, 263, 283, 311, 318, 320, 328, 329, 336, 338, 339, 340, 341, 353, 354, 366], [5, 9, 27, 30, 37, 45, 50, 54, 58, 65, 69, 74, 76, 77, 80, 81, 90, 97, 99, 103, 133, 162], [7, 12, 13, 29, 47, 48, 52, 75, 104, 107, 110, 111, 132, 160, 166, 173, 174, 180, 190, 201, 208, 217, 231, 271, 275], [10, 16, 19, 36, 41, 46, 55, 57, 63, 67, 70, 79, 101, 128, 130, 141, 142, 154, 156, 163, 165, 185, 195], [11, 33, 61, 72, 86, 87, 96, 102, 115, 118, 119, 136, 164, 167, 170, 171, 178, 181, 193, 194, 197, 198, 203, 220], [14, 26, 39, 40, 53, 66, 89, 125, 144, 148, 175, 184, 186, 189, 191, 192, 206, 207, 224, 226, 228, 247, 269, 270, 284, 309], [15, 18, 59, 71, 73, 91, 112, 126, 129, 138, 151, 153, 157, 161, 169, 172, 176, 177, 179, 183, 188, 211, 218, 219], [17, 60, 120, 147, 159, 213, 223, 229, 246, 253, 254, 257, 268, 276, 277, 282, 286, 305, 321, 322, 325, 337, 348, 350, 358, 359, 360, 370], [20, 56, 116, 124, 143, 146, 155, 158, 182, 204, 210, 227, 230, 235, 238, 239, 240, 259, 279, 280, 285, 287, 288, 291, 306, 314, 316], [23, 85, 123, 137, 150, 187, 199, 200, 237, 244, 250, 251, 260, 265, 301, 302, 307, 313, 323, 326, 333, 335, 342, 344, 345, 349, 367, 373], [25, 31, 34, 64, 82, 83, 98, 114, 117, 134, 135, 202, 225, 232, 233, 234, 242, 249, 256, 258, 264, 272, 273, 292, 299, 304, 310], [51, 100, 131, 149, 209, 212, 221, 222, 236, 266, 274, 278, 293, 294, 295, 296, 297, 315, 317, 319, 324, 330, 331, 332, 334, 343, 356, 364], [346, 347, 351, 352, 355, 357, 361, 362, 363, 365, 368, 369, 371, 372, 374, 375, 376, 377, 378, 379, 380, 381, 382, 383, 384, 385, 386, 387, 388, 389, 390, 391, 392, 393, 394, 395, 396, 397, 398, 399, 400]]\n",
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\n",
      "text/plain": [
       "<Figure size 576x576 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Non-zero values average: 0.238630\n",
      "---------------------------------------\n",
      "Number of communities in test1000 graph: 27\n",
      "Louvain Communities:\n",
      "[[1, 117, 151, 183, 217, 233, 280, 282, 308, 439, 455, 578, 621, 657, 699, 733, 756, 761, 764, 842, 865, 869, 896, 902, 909, 919, 968, 991], [2, 5, 11, 24, 26, 27, 63, 64, 69, 93, 112, 123, 133, 154, 168, 190, 209, 224, 245, 260, 263, 270, 307, 309, 319, 353, 361, 373, 378, 380, 387, 395, 396, 467, 502, 523, 526, 590, 627, 633, 648, 679, 683, 704, 706, 757, 759, 773, 777, 778, 779, 811, 817, 825, 835, 862, 871, 893, 900, 908, 944, 969, 976, 977, 982, 992], [3, 4, 14, 161, 174, 244, 250, 300, 338, 401, 416, 429, 444, 514, 594, 620, 654, 661, 712, 713, 746, 776, 785, 790, 798, 827, 904, 914, 954, 956], [6, 25, 30, 53, 54, 74, 128, 134, 148, 176, 191, 194, 253, 273, 285, 289, 292, 335, 358, 370, 376, 383, 409, 412, 434, 437, 445, 450, 451, 480, 511, 549, 551, 553, 604, 613, 628, 651, 653, 682, 693, 767, 775, 781, 792, 794, 816, 840, 854, 926, 966, 997], [7, 19, 21, 29, 180, 226, 228, 266, 279, 287, 324, 366, 372, 379, 397, 398, 414, 421, 423, 466, 472, 473, 504, 513, 522, 524, 527, 652, 685, 686, 688, 691, 711, 738, 753, 763, 809, 822, 852, 861, 910, 939, 946, 979], [8, 12, 13, 89, 98, 175, 271, 284, 290, 350, 391, 449, 499, 500, 558, 637, 641, 743, 780, 839, 883, 927, 933, 935, 967, 984], [9, 78, 102, 135, 170, 237, 239, 265, 274, 293, 298, 332, 432, 461, 470, 478, 488, 496, 563, 567, 609, 762, 821, 828, 846, 855, 867, 924, 994], [10, 59, 111, 142, 197, 207, 208, 219, 238, 294, 329, 392, 415, 424, 544, 546, 587, 640, 772, 849, 879, 889, 929, 955, 983, 995], [15, 31, 33, 35, 96, 106, 121, 126, 163, 167, 186, 193, 205, 214, 220, 246, 251, 258, 275, 316, 325, 352, 356, 377, 403, 420, 448, 458, 485, 503, 509, 512, 516, 519, 531, 540, 545, 571, 577, 583, 607, 610, 614, 624, 643, 647, 650, 659, 684, 700, 754, 758, 782, 801, 819, 851, 892, 897, 907, 942, 981, 996], [16, 101, 137, 185, 188, 192, 211, 221, 222, 286, 296, 318, 371, 446, 475, 490, 550, 562, 588, 589, 673, 696, 708, 722, 731, 837, 943, 959, 961, 962], [17, 18, 38, 40, 84, 202, 203, 299, 313, 331, 385, 442, 474, 529, 552, 568, 591, 606, 656, 670, 755, 917, 920, 973, 989], [20, 22, 60, 81, 118, 144, 158, 159, 165, 166, 178, 240, 257, 261, 277, 291, 305, 322, 326, 328, 343, 347, 357, 393, 406, 438, 459, 498, 501, 535, 539, 612, 622, 655, 667, 675, 702, 742, 747, 770, 787, 804, 836, 841, 864, 870, 874, 882, 952, 960, 1000], [23, 45, 62, 110, 200, 254, 256, 276, 297, 330, 337, 351, 367, 417, 441, 447, 510, 520, 528, 574, 602, 678, 728, 729, 736, 796, 876, 884, 953, 986], [28, 107, 116, 181, 231, 235, 241, 374, 381, 404, 422, 469, 507, 556, 592, 732, 760, 814, 818, 834, 845, 850, 890, 912, 974], [32, 46, 52, 72, 76, 83, 94, 100, 108, 147, 149, 155, 157, 169, 171, 173, 177, 223, 225, 242, 243, 262, 264, 306, 321, 333, 388, 400, 402, 428, 443, 548, 565, 572, 603, 618, 626, 632, 645, 646, 710, 716, 727, 799, 823, 843, 856, 859, 873, 931, 937, 940, 950, 978], [34, 51, 65, 75, 114, 153, 187, 196, 213, 269, 339, 365, 530, 537, 575, 576, 599, 644, 649, 658, 695, 720, 726, 740, 771, 853, 877, 899, 970, 971], [36, 42, 104, 138, 146, 160, 249, 323, 349, 405, 462, 483, 484, 508, 534, 597, 638, 676, 694, 719, 829, 831, 886, 901, 906, 918, 993], [37, 49, 55, 57, 58, 86, 92, 105, 120, 198, 210, 281, 317, 336, 342, 463, 468, 489, 497, 521, 533, 536, 538, 541, 547, 557, 570, 581, 584, 586, 605, 608, 615, 617, 665, 668, 671, 707, 724, 730, 744, 748, 774, 791, 806, 807, 848, 913, 945, 975, 998], [39, 56, 70, 77, 80, 150, 184, 248, 267, 303, 355, 362, 427, 452, 482, 525, 596, 666, 681, 690, 701, 784, 805, 863, 868, 930, 938, 947, 957], [41, 44, 50, 182, 199, 212, 283, 311, 312, 354, 410, 411, 419, 425, 426, 431, 453, 454, 464, 465, 476, 561, 585, 616, 639, 669, 725, 737, 739, 752, 788, 789, 797, 810, 813, 866, 872, 891, 898, 903, 915, 928, 936, 964, 965, 990], [43, 47, 103, 129, 164, 189, 236, 247, 301, 315, 363, 386, 390, 413, 433, 471, 491, 517, 532, 555, 560, 566, 824, 916, 925, 932, 972], [48, 136, 140, 141, 216, 255, 369, 375, 394, 554, 598, 601, 629, 642, 697, 709, 715, 749, 885, 895], [61, 71, 91, 97, 119, 122, 125, 143, 229, 359, 384, 477, 506, 625, 631, 680, 692, 703, 808, 812, 826, 847, 894, 958, 985], [66, 67, 127, 131, 230, 252, 268, 314, 345, 389, 436, 460, 495, 515, 564, 580, 623, 664, 734, 765, 768, 786, 793, 815, 832, 838, 857, 887, 949, 963], [68, 73, 95, 99, 115, 132, 139, 152, 179, 204, 215, 218, 259, 272, 304, 320, 327, 334, 360, 418, 435, 486, 487, 492, 493, 505, 559, 569, 579, 593, 595, 619, 634, 636, 660, 662, 663, 672, 687, 717, 723, 741, 745, 750, 800, 802, 820, 844, 875, 878, 881, 888, 905, 921, 934, 980, 999], [79, 85, 88, 156, 162, 195, 201, 206, 227, 234, 278, 302, 310, 340, 346, 348, 399, 407, 430, 440, 479, 494, 542, 543, 582, 600, 611, 630, 635, 674, 689, 698, 705, 721, 735, 751, 766, 769, 803, 860, 911, 922, 923, 941, 948, 951, 987], [82, 87, 90, 109, 113, 124, 130, 145, 172, 232, 288, 295, 341, 344, 364, 368, 382, 408, 456, 457, 481, 518, 573, 677, 714, 718, 783, 795, 830, 833, 858, 880, 988]]\n",
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     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 576x576 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Non-zero values average: 0.607179\n",
      "---------------------------------------\n"
     ]
    }
   ],
   "source": [
    "ratio_A_louvain, avg_A_louvain = [], []\n",
    "for i in range(len(gs)):\n",
    "    com_louvain = get_comms(gs[i], \"comm_louvain\")\n",
    "    print(\"Number of communities in %s graph: %s\" % (gnames[i], len(com_louvain)))\n",
    "    print(\"Louvain Communities:\")\n",
    "    print(sorted(com_louvain))\n",
    "    r_A_louvain = seq_match(com_A[i], com_louvain)\n",
    "    print(r_A_louvain)\n",
    "    ratio_A_louvain.append(r_A_louvain)\n",
    "    plt.figure(figsize=(8,8))\n",
    "    plt.imshow(r_A_louvain, cmap=plt.cm.Purples, interpolation='nearest')\n",
    "    plt.show()\n",
    "    a_A_louvain = nonzeroavg(r_A_louvain)\n",
    "    print(\"Non-zero values average: %f\" % a_A_louvain)\n",
    "    avg_A_louvain.append(a_A_louvain)\n",
    "    print(sprtr)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "graph: test75\n",
      "Sequental matching ratio: 1.000000\n",
      "Index: 5 - 0\n",
      "[2, 5, 19, 39, 53, 56, 65, 66]\n",
      "[2, 5, 19, 39, 53, 56, 65, 66]\n",
      "----------------------\n",
      "Sequental matching ratio: 0.965517\n",
      "Index: 3 - 4\n",
      "[9, 10, 14, 23, 26, 27, 29, 30, 38, 48, 58, 61, 69, 73, 74]\n",
      "[9, 10, 14, 23, 26, 29, 30, 38, 48, 58, 61, 69, 73, 74]\n",
      "----------------------\n",
      "Sequental matching ratio: 0.823529\n",
      "Index: 4 - 2\n",
      "[6, 17, 18, 22, 34, 41, 42, 67, 68]\n",
      "[6, 18, 34, 41, 42, 59, 67, 68]\n",
      "----------------------\n",
      "Sequental matching ratio: 0.777778\n",
      "Index: 8 - 5\n",
      "[8, 15, 16, 20, 37, 45, 46, 47, 50, 51, 52, 57, 60, 62, 63, 64, 70, 75]\n",
      "[3, 8, 13, 15, 16, 17, 20, 43, 47, 51, 52, 57, 60, 62, 63, 64, 70, 75]\n",
      "----------------------\n",
      "Sequental matching ratio: 0.769231\n",
      "Index: 10 - 1\n",
      "[1, 21, 24, 35, 43, 54, 55, 59]\n",
      "[1, 21, 35, 54, 55]\n",
      "----------------------\n",
      "Sequental matching ratio: 0.592593\n",
      "Index: 9 - 3\n",
      "[3, 4, 7, 11, 12, 13, 25, 28, 31, 32, 33, 36, 40, 44, 49, 71, 72]\n",
      "[4, 7, 12, 22, 25, 32, 33, 50, 71, 72]\n",
      "----------------------\n",
      "Sequental matching ratio: 0.511628\n",
      "Index: 1 - 5\n",
      "[8, 15, 16, 20, 37, 45, 46, 47, 50, 51, 52, 57, 60, 62, 63, 64, 70, 75]\n",
      "[1, 10, 11, 15, 16, 19, 23, 37, 42, 43, 44, 45, 46, 47, 50, 52, 55, 56, 57, 59, 61, 66, 70, 71, 75]\n",
      "----------------------\n",
      "Sequental matching ratio: 0.428571\n",
      "Index: 0 - 3\n",
      "[3, 4, 7, 11, 12, 13, 25, 28, 31, 32, 33, 36, 40, 44, 49, 71, 72]\n",
      "[3, 4, 5, 6, 8, 12, 13, 17, 20, 26, 27, 29, 30, 31, 35, 36, 39, 40, 48, 49, 58, 62, 69, 72, 73]\n",
      "----------------------\n",
      "Sequental matching ratio: 0.416667\n",
      "Index: 7 - 3\n",
      "[3, 4, 7, 11, 12, 13, 25, 28, 31, 32, 33, 36, 40, 44, 49, 71, 72]\n",
      "[24, 28, 31, 36, 40, 45, 49]\n",
      "----------------------\n",
      "graph: test100\n",
      "Sequental matching ratio: 1.000000\n",
      "Index: 11 - 0\n",
      "[9, 26, 29, 40, 43]\n",
      "[9, 26, 29, 40, 43]\n",
      "----------------------\n",
      "Sequental matching ratio: 0.947368\n",
      "Index: 10 - 1\n",
      "[2, 14, 21, 28, 50, 52, 57, 60, 75, 81]\n",
      "[2, 14, 21, 28, 50, 52, 60, 75, 81]\n",
      "----------------------\n",
      "Sequental matching ratio: 0.777778\n",
      "Index: 5 - 2\n",
      "[5, 15, 17, 18, 23, 33, 65, 66, 67, 73, 79, 82, 87, 88, 89]\n",
      "[4, 15, 17, 18, 23, 33, 46, 54, 59, 65, 66, 67, 73, 79, 82, 87, 88, 89, 95, 96, 99]\n",
      "----------------------\n",
      "Sequental matching ratio: 0.755556\n",
      "Index: 1 - 6\n",
      "[1, 25, 27, 30, 31, 39, 44, 46, 54, 62, 63, 72, 78, 80, 84, 86, 92, 99, 100]\n",
      "[1, 2, 6, 15, 17, 25, 27, 28, 39, 43, 44, 46, 50, 52, 54, 62, 63, 67, 72, 78, 80, 84, 86, 92, 99, 100]\n",
      "----------------------\n",
      "Sequental matching ratio: 0.666667\n",
      "Index: 3 - 5\n",
      "[20, 32, 36, 37, 38, 51, 53, 55, 64, 68, 69, 71, 74, 85, 94, 95, 96, 98]\n",
      "[9, 20, 21, 22, 35, 36, 40, 47, 49, 51, 53, 55, 56, 60, 64, 69, 71, 74, 82, 85, 94, 95, 96, 98]\n",
      "----------------------\n",
      "Sequental matching ratio: 0.565217\n",
      "Index: 0 - 4\n",
      "[3, 4, 6, 8, 10, 12, 13, 19, 22, 24, 34, 41, 45, 48, 49, 56, 70, 76, 77, 97]\n",
      "[3, 4, 5, 8, 10, 12, 13, 18, 24, 26, 29, 32, 33, 34, 38, 41, 48, 70, 73, 75, 76, 83, 87, 88, 89, 97]\n",
      "----------------------\n",
      "Sequental matching ratio: 0.560000\n",
      "Index: 7 - 5\n",
      "[20, 32, 36, 37, 38, 51, 53, 55, 64, 68, 69, 71, 74, 85, 94, 95, 96, 98]\n",
      "[32, 36, 51, 53, 68, 69, 71]\n",
      "----------------------\n",
      "Sequental matching ratio: 0.540541\n",
      "Index: 2 - 3\n",
      "[7, 11, 16, 35, 42, 47, 58, 59, 61, 83, 90, 91, 93]\n",
      "[7, 11, 14, 16, 19, 23, 30, 31, 37, 42, 45, 57, 58, 59, 61, 65, 66, 68, 77, 79, 81, 90, 91, 93]\n",
      "----------------------\n",
      "Sequental matching ratio: 0.518519\n",
      "Index: 9 - 4\n",
      "[3, 4, 6, 8, 10, 12, 13, 19, 22, 24, 34, 41, 45, 48, 49, 56, 70, 76, 77, 97]\n",
      "[6, 10, 13, 24, 45, 56, 70]\n",
      "----------------------\n",
      "Sequental matching ratio: 0.444444\n",
      "Index: 8 - 3\n",
      "[7, 11, 16, 35, 42, 47, 58, 59, 61, 83, 90, 91, 93]\n",
      "[3, 5, 7, 11, 12, 16, 20, 30, 31, 35, 37, 38, 42, 47, 48, 49, 55, 57, 58, 61, 62, 63, 64, 72, 74, 76, 77, 78, 80, 83, 84, 85, 86, 90, 91, 92, 93, 94, 97, 98, 100]\n",
      "----------------------\n",
      "Sequental matching ratio: 0.416667\n",
      "Index: 6 - 6\n",
      "[1, 25, 27, 30, 31, 39, 44, 46, 54, 62, 63, 72, 78, 80, 84, 86, 92, 99, 100]\n",
      "[1, 25, 27, 39, 44]\n",
      "----------------------\n",
      "graph: test400\n",
      "Sequental matching ratio: 1.000000\n",
      "Index: 0 - 11\n",
      "[51, 100, 131, 149, 209, 212, 221, 222, 236, 266, 274, 278, 293, 294, 295, 296, 297, 315, 317, 319, 324, 330, 331, 332, 334, 343, 356, 364]\n",
      "[51, 100, 131, 149, 209, 212, 221, 222, 236, 266, 274, 278, 293, 294, 295, 296, 297, 315, 317, 319, 324, 330, 331, 332, 334, 343, 356, 364]\n",
      "----------------------\n",
      "Sequental matching ratio: 1.000000\n",
      "Index: 1 - 8\n",
      "[25, 31, 34, 64, 82, 83, 98, 114, 117, 134, 135, 202, 225, 232, 233, 234, 242, 249, 256, 258, 264, 272, 273, 292, 299, 304, 310]\n",
      "[25, 31, 34, 64, 82, 83, 98, 114, 117, 134, 135, 202, 225, 232, 233, 234, 242, 249, 256, 258, 264, 272, 273, 292, 299, 304, 310]\n",
      "----------------------\n",
      "Sequental matching ratio: 1.000000\n",
      "Index: 2 - 3\n",
      "[11, 33, 61, 72, 86, 87, 96, 102, 115, 118, 119, 136, 164, 167, 170, 171, 178, 181, 193, 194, 197, 198, 203, 220]\n",
      "[11, 33, 61, 72, 86, 87, 96, 102, 115, 118, 119, 136, 164, 167, 170, 171, 178, 181, 193, 194, 197, 198, 203, 220]\n",
      "----------------------\n",
      "Sequental matching ratio: 1.000000\n",
      "Index: 3 - 12\n",
      "[3, 49, 84, 106, 109, 168, 196, 205, 215, 241, 252, 255, 262, 263, 283, 311, 318, 320, 328, 329, 336, 338, 339, 340, 341, 353, 354, 366]\n",
      "[3, 49, 84, 106, 109, 168, 196, 205, 215, 241, 252, 255, 262, 263, 283, 311, 318, 320, 328, 329, 336, 338, 339, 340, 341, 353, 354, 366]\n",
      "----------------------\n",
      "Sequental matching ratio: 1.000000\n",
      "Index: 4 - 6\n",
      "[14, 26, 39, 40, 53, 66, 89, 125, 144, 148, 175, 184, 186, 189, 191, 192, 206, 207, 224, 226, 228, 247, 269, 270, 284, 309]\n",
      "[14, 26, 39, 40, 53, 66, 89, 125, 144, 148, 175, 184, 186, 189, 191, 192, 206, 207, 224, 226, 228, 247, 269, 270, 284, 309]\n",
      "----------------------\n",
      "Sequental matching ratio: 1.000000\n",
      "Index: 5 - 7\n",
      "[20, 56, 116, 124, 143, 146, 155, 158, 182, 204, 210, 227, 230, 235, 238, 239, 240, 259, 279, 280, 285, 287, 288, 291, 306, 314, 316]\n",
      "[20, 56, 116, 124, 143, 146, 155, 158, 182, 204, 210, 227, 230, 235, 238, 239, 240, 259, 279, 280, 285, 287, 288, 291, 306, 314, 316]\n",
      "----------------------\n",
      "Sequental matching ratio: 1.000000\n",
      "Index: 6 - 4\n",
      "[15, 18, 59, 71, 73, 91, 112, 126, 129, 138, 151, 153, 157, 161, 169, 172, 176, 177, 179, 183, 188, 211, 218, 219]\n",
      "[15, 18, 59, 71, 73, 91, 112, 126, 129, 138, 151, 153, 157, 161, 169, 172, 176, 177, 179, 183, 188, 211, 218, 219]\n",
      "----------------------\n",
      "Sequental matching ratio: 1.000000\n",
      "Index: 7 - 9\n",
      "[2, 8, 32, 62, 92, 121, 122, 127, 139, 140, 152, 214, 216, 243, 245, 248, 261, 267, 281, 289, 290, 298, 300, 303, 308, 312, 327]\n",
      "[2, 8, 32, 62, 92, 121, 122, 127, 139, 140, 152, 214, 216, 243, 245, 248, 261, 267, 281, 289, 290, 298, 300, 303, 308, 312, 327]\n",
      "----------------------\n",
      "Sequental matching ratio: 1.000000\n",
      "Index: 8 - 10\n",
      "[17, 60, 120, 147, 159, 213, 223, 229, 246, 253, 254, 257, 268, 276, 277, 282, 286, 305, 321, 322, 325, 337, 348, 350, 358, 359, 360, 370]\n",
      "[17, 60, 120, 147, 159, 213, 223, 229, 246, 253, 254, 257, 268, 276, 277, 282, 286, 305, 321, 322, 325, 337, 348, 350, 358, 359, 360, 370]\n",
      "----------------------\n",
      "Sequental matching ratio: 1.000000\n",
      "Index: 9 - 14\n",
      "[346, 347, 351, 352, 355, 357, 361, 362, 363, 365, 368, 369, 371, 372, 374, 375, 376, 377, 378, 379, 380, 381, 382, 383, 384, 385, 386, 387, 388, 389, 390, 391, 392, 393, 394, 395, 396, 397, 398, 399, 400]\n",
      "[346, 347, 351, 352, 355, 357, 361, 362, 363, 365, 368, 369, 371, 372, 374, 375, 376, 377, 378, 379, 380, 381, 382, 383, 384, 385, 386, 387, 388, 389, 390, 391, 392, 393, 394, 395, 396, 397, 398, 399, 400]\n",
      "----------------------\n",
      "Sequental matching ratio: 1.000000\n",
      "Index: 10 - 0\n",
      "[5, 9, 27, 30, 37, 45, 50, 54, 58, 65, 69, 74, 76, 77, 80, 81, 90, 97, 99, 103, 133, 162]\n",
      "[5, 9, 27, 30, 37, 45, 50, 54, 58, 65, 69, 74, 76, 77, 80, 81, 90, 97, 99, 103, 133, 162]\n",
      "----------------------\n",
      "Sequental matching ratio: 1.000000\n",
      "Index: 11 - 1\n",
      "[1, 4, 6, 21, 22, 24, 28, 35, 38, 42, 43, 44, 68, 78, 88, 93, 94, 95, 105, 108, 113, 145]\n",
      "[1, 4, 6, 21, 22, 24, 28, 35, 38, 42, 43, 44, 68, 78, 88, 93, 94, 95, 105, 108, 113, 145]\n",
      "----------------------\n",
      "Sequental matching ratio: 1.000000\n",
      "Index: 12 - 2\n",
      "[10, 16, 19, 36, 41, 46, 55, 57, 63, 67, 70, 79, 101, 128, 130, 141, 142, 154, 156, 163, 165, 185, 195]\n",
      "[10, 16, 19, 36, 41, 46, 55, 57, 63, 67, 70, 79, 101, 128, 130, 141, 142, 154, 156, 163, 165, 185, 195]\n",
      "----------------------\n",
      "Sequental matching ratio: 1.000000\n",
      "Index: 13 - 5\n",
      "[7, 12, 13, 29, 47, 48, 52, 75, 104, 107, 110, 111, 132, 160, 166, 173, 174, 180, 190, 201, 208, 217, 231, 271, 275]\n",
      "[7, 12, 13, 29, 47, 48, 52, 75, 104, 107, 110, 111, 132, 160, 166, 173, 174, 180, 190, 201, 208, 217, 231, 271, 275]\n",
      "----------------------\n",
      "Sequental matching ratio: 1.000000\n",
      "Index: 14 - 13\n",
      "[23, 85, 123, 137, 150, 187, 199, 200, 237, 244, 250, 251, 260, 265, 301, 302, 307, 313, 323, 326, 333, 335, 342, 344, 345, 349, 367, 373]\n",
      "[23, 85, 123, 137, 150, 187, 199, 200, 237, 244, 250, 251, 260, 265, 301, 302, 307, 313, 323, 326, 333, 335, 342, 344, 345, 349, 367, 373]\n",
      "----------------------\n",
      "graph: test1000\n",
      "Sequental matching ratio: 1.000000\n",
      "Index: 5 - 10\n",
      "[1, 117, 151, 183, 217, 233, 280, 282, 308, 439, 455, 578, 621, 657, 699, 733, 756, 761, 764, 842, 865, 869, 896, 902, 909, 919, 968, 991]\n",
      "[1, 117, 151, 183, 217, 233, 280, 282, 308, 439, 455, 578, 621, 657, 699, 733, 756, 761, 764, 842, 865, 869, 896, 902, 909, 919, 968, 991]\n",
      "----------------------\n",
      "Sequental matching ratio: 1.000000\n",
      "Index: 8 - 24\n",
      "[39, 56, 70, 77, 80, 150, 184, 248, 267, 303, 355, 362, 427, 452, 482, 525, 596, 666, 681, 690, 701, 784, 805, 863, 868, 930, 938, 947, 957]\n",
      "[39, 56, 70, 77, 80, 150, 184, 248, 267, 303, 355, 362, 427, 452, 482, 525, 596, 666, 681, 690, 701, 784, 805, 863, 868, 930, 938, 947, 957]\n",
      "----------------------\n",
      "Sequental matching ratio: 1.000000\n",
      "Index: 12 - 8\n",
      "[43, 47, 103, 129, 164, 189, 236, 247, 301, 315, 363, 386, 390, 413, 433, 471, 491, 517, 532, 555, 560, 566, 824, 916, 925, 932, 972]\n",
      "[43, 47, 103, 129, 164, 189, 236, 247, 301, 315, 363, 386, 390, 413, 433, 471, 491, 517, 532, 555, 560, 566, 824, 916, 925, 932, 972]\n",
      "----------------------\n",
      "Sequental matching ratio: 1.000000\n",
      "Index: 13 - 6\n",
      "[28, 107, 116, 181, 231, 235, 241, 374, 381, 404, 422, 469, 507, 556, 592, 732, 760, 814, 818, 834, 845, 850, 890, 912, 974]\n",
      "[28, 107, 116, 181, 231, 235, 241, 374, 381, 404, 422, 469, 507, 556, 592, 732, 760, 814, 818, 834, 845, 850, 890, 912, 974]\n",
      "----------------------\n",
      "Sequental matching ratio: 1.000000\n",
      "Index: 17 - 2\n",
      "[61, 71, 91, 97, 119, 122, 125, 143, 229, 359, 384, 477, 506, 625, 631, 680, 692, 703, 808, 812, 826, 847, 894, 958, 985]\n",
      "[61, 71, 91, 97, 119, 122, 125, 143, 229, 359, 384, 477, 506, 625, 631, 680, 692, 703, 808, 812, 826, 847, 894, 958, 985]\n",
      "----------------------\n",
      "Sequental matching ratio: 1.000000\n",
      "Index: 18 - 14\n",
      "[16, 101, 137, 185, 188, 192, 211, 221, 222, 286, 296, 318, 371, 446, 475, 490, 550, 562, 588, 589, 673, 696, 708, 722, 731, 837, 943, 959, 961, 962]\n",
      "[16, 101, 137, 185, 188, 192, 211, 221, 222, 286, 296, 318, 371, 446, 475, 490, 550, 562, 588, 589, 673, 696, 708, 722, 731, 837, 943, 959, 961, 962]\n",
      "----------------------\n",
      "Sequental matching ratio: 1.000000\n",
      "Index: 21 - 13\n",
      "[23, 45, 62, 110, 200, 254, 256, 276, 297, 330, 337, 351, 367, 417, 441, 447, 510, 520, 528, 574, 602, 678, 728, 729, 736, 796, 876, 884, 953, 986]\n",
      "[23, 45, 62, 110, 200, 254, 256, 276, 297, 330, 337, 351, 367, 417, 441, 447, 510, 520, 528, 574, 602, 678, 728, 729, 736, 796, 876, 884, 953, 986]\n",
      "----------------------\n",
      "Sequental matching ratio: 1.000000\n",
      "Index: 24 - 4\n",
      "[82, 87, 90, 109, 113, 124, 130, 145, 172, 232, 288, 295, 341, 344, 364, 368, 382, 408, 456, 457, 481, 518, 573, 677, 714, 718, 783, 795, 830, 833, 858, 880, 988]\n",
      "[82, 87, 90, 109, 113, 124, 130, 145, 172, 232, 288, 295, 341, 344, 364, 368, 382, 408, 456, 457, 481, 518, 573, 677, 714, 718, 783, 795, 830, 833, 858, 880, 988]\n",
      "----------------------\n",
      "Sequental matching ratio: 1.000000\n",
      "Index: 27 - 22\n",
      "[36, 42, 104, 138, 146, 160, 249, 323, 349, 405, 462, 483, 484, 508, 534, 597, 638, 676, 694, 719, 829, 831, 886, 901, 906, 918, 993]\n",
      "[36, 42, 104, 138, 146, 160, 249, 323, 349, 405, 462, 483, 484, 508, 534, 597, 638, 676, 694, 719, 829, 831, 886, 901, 906, 918, 993]\n",
      "----------------------\n",
      "Sequental matching ratio: 1.000000\n",
      "Index: 28 - 1\n",
      "[8, 12, 13, 89, 98, 175, 271, 284, 290, 350, 391, 449, 499, 500, 558, 637, 641, 743, 780, 839, 883, 927, 933, 935, 967, 984]\n",
      "[8, 12, 13, 89, 98, 175, 271, 284, 290, 350, 391, 449, 499, 500, 558, 637, 641, 743, 780, 839, 883, 927, 933, 935, 967, 984]\n",
      "----------------------\n",
      "Sequental matching ratio: 1.000000\n",
      "Index: 31 - 23\n",
      "[9, 78, 102, 135, 170, 237, 239, 265, 274, 293, 298, 332, 432, 461, 470, 478, 488, 496, 563, 567, 609, 762, 821, 828, 846, 855, 867, 924, 994]\n",
      "[9, 78, 102, 135, 170, 237, 239, 265, 274, 293, 298, 332, 432, 461, 470, 478, 488, 496, 563, 567, 609, 762, 821, 828, 846, 855, 867, 924, 994]\n",
      "----------------------\n",
      "Sequental matching ratio: 1.000000\n",
      "Index: 33 - 12\n",
      "[3, 4, 14, 161, 174, 244, 250, 300, 338, 401, 416, 429, 444, 514, 594, 620, 654, 661, 712, 713, 746, 776, 785, 790, 798, 827, 904, 914, 954, 956]\n",
      "[3, 4, 14, 161, 174, 244, 250, 300, 338, 401, 416, 429, 444, 514, 594, 620, 654, 661, 712, 713, 746, 776, 785, 790, 798, 827, 904, 914, 954, 956]\n",
      "----------------------\n",
      "Sequental matching ratio: 1.000000\n",
      "Index: 34 - 17\n",
      "[34, 51, 65, 75, 114, 153, 187, 196, 213, 269, 339, 365, 530, 537, 575, 576, 599, 644, 649, 658, 695, 720, 726, 740, 771, 853, 877, 899, 970, 971]\n",
      "[34, 51, 65, 75, 114, 153, 187, 196, 213, 269, 339, 365, 530, 537, 575, 576, 599, 644, 649, 658, 695, 720, 726, 740, 771, 853, 877, 899, 970, 971]\n",
      "----------------------\n",
      "Sequental matching ratio: 0.983051\n",
      "Index: 38 - 11\n",
      "[48, 136, 140, 141, 216, 255, 369, 375, 394, 554, 598, 601, 629, 642, 697, 709, 715, 749, 885, 895]\n",
      "[48, 136, 140, 141, 216, 255, 369, 375, 394, 554, 598, 601, 629, 642, 697, 709, 715, 749, 885, 895]\n",
      "----------------------\n",
      "Sequental matching ratio: 0.725000\n",
      "Index: 16 - 15\n",
      "[66, 67, 127, 131, 230, 252, 268, 314, 345, 389, 436, 460, 495, 515, 564, 580, 623, 664, 734, 765, 768, 786, 793, 815, 832, 838, 857, 887, 949, 963]\n",
      "[66, 127, 131, 230, 252, 268, 314, 345, 389, 436, 460, 495, 515, 564, 580, 623, 664, 734, 765, 768, 786, 793, 815, 832, 838, 857, 887, 949, 963]\n",
      "----------------------\n",
      "Sequental matching ratio: 0.725000\n",
      "Index: 3 - 9\n",
      "[20, 22, 60, 81, 118, 144, 158, 159, 165, 166, 178, 240, 257, 261, 277, 291, 305, 322, 326, 328, 343, 347, 357, 393, 406, 438, 459, 498, 501, 535, 539, 612, 622, 655, 667, 675, 702, 742, 747, 770, 787, 804, 836, 841, 864, 870, 874, 882, 952, 960, 1000]\n",
      "[81, 158, 165, 166, 261, 277, 291, 326, 328, 343, 393, 406, 438, 459, 501, 535, 622, 655, 667, 675, 742, 747, 770, 787, 804, 836, 870, 874, 882]\n",
      "----------------------\n",
      "Sequental matching ratio: 0.724638\n",
      "Index: 4 - 26\n",
      "[37, 49, 55, 57, 58, 86, 92, 105, 120, 198, 210, 281, 317, 336, 342, 463, 468, 489, 497, 521, 533, 536, 538, 541, 547, 557, 570, 581, 584, 586, 605, 608, 615, 617, 665, 668, 671, 707, 724, 730, 744, 748, 774, 791, 806, 807, 848, 913, 945, 975, 998]\n",
      "[37, 49, 57, 86, 105, 120, 198, 281, 317, 468, 497, 521, 538, 541, 547, 557, 584, 586, 605, 608, 617, 671, 707, 730, 744, 774, 807, 975, 998]\n",
      "----------------------\n",
      "Sequental matching ratio: 0.704225\n",
      "Index: 25 - 0\n",
      "[7, 19, 21, 29, 180, 226, 228, 266, 279, 287, 324, 366, 372, 379, 397, 398, 414, 421, 423, 466, 472, 473, 504, 513, 522, 524, 527, 652, 685, 686, 688, 691, 711, 738, 753, 763, 809, 822, 852, 861, 910, 939, 946, 979]\n",
      "[7, 19, 180, 226, 266, 366, 372, 397, 398, 466, 473, 513, 524, 688, 691, 711, 738, 763, 809, 822, 861, 910, 939, 946, 979]\n",
      "----------------------\n",
      "Sequental matching ratio: 0.702703\n",
      "Index: 29 - 16\n",
      "[41, 44, 50, 182, 199, 212, 283, 311, 312, 354, 410, 411, 419, 425, 426, 431, 453, 454, 464, 465, 476, 561, 585, 616, 639, 669, 725, 737, 739, 752, 788, 789, 797, 810, 813, 866, 872, 891, 898, 903, 915, 928, 936, 964, 965, 990]\n",
      "[41, 44, 182, 199, 311, 312, 410, 411, 425, 431, 453, 454, 464, 476, 616, 669, 725, 739, 752, 813, 866, 872, 891, 898, 903]\n",
      "----------------------\n",
      "Sequental matching ratio: 0.689655\n",
      "Index: 20 - 7\n",
      "[79, 85, 88, 156, 162, 195, 201, 206, 227, 234, 278, 302, 310, 340, 346, 348, 399, 407, 430, 440, 479, 494, 542, 543, 582, 600, 611, 630, 635, 674, 689, 698, 705, 721, 735, 751, 766, 769, 803, 860, 911, 922, 923, 941, 948, 951, 987]\n",
      "[67, 85, 195, 206, 302, 310, 340, 346, 348, 399, 407, 430, 440, 494, 543, 582, 600, 630, 635, 674, 705, 721, 769, 911, 922, 948, 987]\n",
      "----------------------\n",
      "Sequental matching ratio: 0.666667\n",
      "Index: 23 - 19\n",
      "[68, 73, 95, 99, 115, 132, 139, 152, 179, 204, 215, 218, 259, 272, 304, 320, 327, 334, 360, 418, 435, 486, 487, 492, 493, 505, 559, 569, 579, 593, 595, 619, 634, 636, 660, 662, 663, 672, 687, 717, 723, 741, 745, 750, 800, 802, 820, 844, 875, 878, 881, 888, 905, 921, 934, 980, 999]\n",
      "[73, 95, 99, 115, 132, 152, 204, 215, 304, 327, 334, 418, 435, 486, 559, 569, 634, 660, 662, 663, 717, 741, 745, 844, 875, 905, 921, 934, 980, 999]\n",
      "----------------------\n",
      "Sequental matching ratio: 0.650000\n",
      "Index: 0 - 25\n",
      "[6, 25, 30, 53, 54, 74, 128, 134, 148, 176, 191, 194, 253, 273, 285, 289, 292, 335, 358, 370, 376, 383, 409, 412, 434, 437, 445, 450, 451, 480, 511, 549, 551, 553, 604, 613, 628, 651, 653, 682, 693, 767, 775, 781, 792, 794, 816, 840, 854, 926, 966, 997]\n",
      "[25, 30, 53, 74, 128, 148, 176, 191, 273, 285, 292, 335, 383, 412, 434, 445, 549, 551, 613, 628, 693, 775, 794, 816, 840, 966]\n",
      "----------------------\n",
      "Sequental matching ratio: 0.649351\n",
      "Index: 10 - 3\n",
      "[32, 46, 52, 72, 76, 83, 94, 100, 108, 147, 149, 155, 157, 169, 171, 173, 177, 223, 225, 242, 243, 262, 264, 306, 321, 333, 388, 400, 402, 428, 443, 548, 565, 572, 603, 618, 626, 632, 645, 646, 710, 716, 727, 799, 823, 843, 856, 859, 873, 931, 937, 940, 950, 978]\n",
      "[32, 72, 94, 100, 147, 149, 155, 157, 169, 177, 223, 225, 242, 243, 262, 264, 333, 443, 548, 565, 618, 632, 645, 646, 716, 823, 873]\n",
      "----------------------\n",
      "Sequental matching ratio: 0.642857\n",
      "Index: 14 - 3\n",
      "[32, 46, 52, 72, 76, 83, 94, 100, 108, 147, 149, 155, 157, 169, 171, 173, 177, 223, 225, 242, 243, 262, 264, 306, 321, 333, 388, 400, 402, 428, 443, 548, 565, 572, 603, 618, 626, 632, 645, 646, 710, 716, 727, 799, 823, 843, 856, 859, 873, 931, 937, 940, 950, 978]\n",
      "[46, 52, 76, 83, 108, 171, 306, 321, 388, 400, 402, 428, 572, 603, 626, 710, 727, 799, 843, 856, 859, 931, 937, 940, 950, 978]\n",
      "----------------------\n",
      "Sequental matching ratio: 0.626866\n",
      "Index: 15 - 25\n",
      "[6, 25, 30, 53, 54, 74, 128, 134, 148, 176, 191, 194, 253, 273, 285, 289, 292, 335, 358, 370, 376, 383, 409, 412, 434, 437, 445, 450, 451, 480, 511, 549, 551, 553, 604, 613, 628, 651, 653, 682, 693, 767, 775, 781, 792, 794, 816, 840, 854, 926, 966, 997]\n",
      "[6, 54, 134, 194, 289, 358, 370, 376, 409, 437, 450, 451, 480, 511, 553, 604, 651, 653, 682, 767, 781, 792, 854, 926, 997]\n",
      "----------------------\n"
     ]
    }
   ],
   "source": [
    "limiter = 0.4\n",
    "for i in range(len(gs)):\n",
    "    print(\"graph: %s\" % gnames[i])\n",
    "    getHighestRatios(ratio_A_louvain[i], 25, com_A[i], get_comms(gs[i], \"comm_louvain\"), limiter)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Number of communities in test75 graph: 8\n",
      "Infomap Communities:\n",
      "[[1, 21, 24, 35, 43, 54, 55, 59], [2, 5, 39, 53, 56, 65, 66], [3, 28, 31, 36, 40, 49], [4, 7, 12, 13, 25, 32, 33, 71, 72], [6, 17, 18, 22, 34, 41, 42, 67, 68], [8, 15, 16, 20, 37, 45, 46, 47, 50, 51, 52, 57, 60, 62, 63, 64, 70, 75], [9, 10, 14, 23, 26, 27, 29, 30, 38, 48, 58, 61, 69, 73, 74], [11, 19, 44]]\n",
      "[[0.13953488372093023, 0.4, 0.23529411764705882, 0.11764705882352941, 0.125, 0.06060606060606061, 0.3225806451612903, 0.0], [0.5116279069767442, 0.15, 0.058823529411764705, 0.058823529411764705, 0.125, 0.24242424242424243, 0.0, 0.21428571428571427], [0.18604651162790697, 0.2, 0.23529411764705882, 0.35294117647058826, 0.1875, 0.18181818181818182, 0.06451612903225806, 0.0], [0.0, 0.9655172413793104, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], [0.0, 0.0, 0.0, 0.8235294117647058, 0.0, 0.125, 0.0, 0.0], [0.0, 0.0, 0.0, 0.0, 0.9333333333333333, 0.0, 0.0, 0.18181818181818182], [0.17391304347826086, 0.1, 0.0, 0.0, 0.0, 0.0, 0.0, 0.5], [0.08, 0.0, 0.0, 0.0, 0.0, 0.13333333333333333, 0.7692307692307693, 0.0], [0.7777777777777778, 0.0, 0.07407407407407407, 0.07407407407407407, 0.0, 0.07692307692307693, 0.08333333333333333, 0.0], [0.07142857142857142, 0.0, 0.8421052631578947, 0.10526315789473684, 0.0, 0.0, 0.0, 0.0], [0.0, 0.0, 0.0, 0.0, 0.0, 0.7692307692307693, 0.0, 0.0]]\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 576x576 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Non-zero values average: 0.466571\n",
      "---------------------------------------\n",
      "Number of communities in test100 graph: 7\n",
      "Infomap Communities:\n",
      "[[1, 25, 27, 39, 44], [2, 14, 21, 28, 50, 52, 60, 75, 81], [3, 4, 5, 7, 11, 12, 15, 16, 17, 18, 20, 23, 30, 31, 33, 35, 37, 38, 42, 46, 47, 48, 49, 54, 55, 57, 58, 59, 61, 62, 63, 64, 65, 66, 67, 72, 73, 74, 76, 77, 78, 79, 80, 82, 83, 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 96, 97, 98, 99, 100], [6, 10, 13, 24, 45, 56, 70], [8, 19, 22, 34, 41], [9, 26, 29, 40, 43], [32, 36, 51, 53, 68, 69, 71]]\n",
      "[[0.3409090909090909, 0.05714285714285714, 0.06060606060606061, 0.24242424242424243, 0.12903225806451613, 0.1935483870967742, 0.0], [0.3409090909090909, 0.22857142857142856, 0.0, 0.06060606060606061, 0.06451612903225806, 0.0, 0.3225806451612903], [0.4418604651162791, 0.12121212121212122, 0.06451612903225806, 0.06451612903225806, 0.0, 0.06896551724137931, 0.0], [0.3023255813953488, 0.12121212121212122, 0.3225806451612903, 0.06451612903225806, 0.13793103448275862, 0.06896551724137931, 0.0], [0.0, 0.0, 0.0, 0.0, 0.0, 1.0, 0.0], [0.5060240963855421, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 1.0], [0.0, 0.0, 1.0, 0.0, 0.0, 0.0, 0.0], [0.7961165048543689, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], [0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0], [0.0, 1.0, 0.0, 0.0, 0.0, 0.0, 0.0], [0.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0]]\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 576x576 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Non-zero values average: 0.696210\n",
      "---------------------------------------\n",
      "Number of communities in test400 graph: 15\n",
      "Infomap Communities:\n",
      "[[1, 4, 6, 21, 22, 24, 28, 35, 38, 42, 43, 44, 68, 78, 88, 93, 94, 95, 105, 108, 113, 145], [2, 8, 32, 62, 92, 121, 122, 127, 139, 140, 152, 214, 216, 243, 245, 248, 261, 267, 281, 289, 290, 298, 300, 303, 308, 312, 327], [3, 49, 84, 106, 109, 168, 196, 205, 215, 241, 252, 255, 262, 263, 283, 311, 318, 320, 328, 329, 336, 338, 339, 340, 341, 353, 354, 366], [5, 9, 27, 30, 37, 45, 50, 54, 58, 65, 69, 74, 76, 77, 80, 81, 90, 97, 99, 103, 133, 162], [7, 12, 13, 29, 47, 48, 52, 75, 104, 107, 110, 111, 132, 160, 166, 173, 174, 180, 190, 201, 208, 217, 231, 271, 275], [10, 16, 19, 36, 41, 46, 55, 57, 63, 67, 70, 79, 101, 128, 130, 141, 142, 154, 156, 163, 165, 185, 195], [11, 33, 61, 72, 86, 87, 96, 102, 115, 118, 119, 136, 164, 167, 170, 171, 178, 181, 193, 194, 197, 198, 203, 220], [14, 26, 39, 40, 53, 66, 89, 125, 144, 148, 175, 184, 186, 189, 191, 192, 206, 207, 224, 226, 228, 247, 269, 270, 284, 309], [15, 18, 59, 71, 73, 91, 112, 126, 129, 138, 151, 153, 157, 161, 169, 172, 176, 177, 179, 183, 188, 211, 218, 219], [17, 60, 120, 147, 159, 213, 223, 229, 246, 253, 254, 257, 268, 276, 277, 282, 286, 305, 321, 322, 325, 337, 348, 350, 358, 359, 360, 370], [20, 56, 116, 124, 143, 146, 155, 158, 182, 204, 210, 227, 230, 235, 238, 239, 240, 259, 279, 280, 285, 287, 288, 291, 306, 314, 316], [23, 85, 123, 137, 150, 187, 199, 200, 237, 244, 250, 251, 260, 265, 301, 302, 307, 313, 323, 326, 333, 335, 342, 344, 345, 349, 367, 373], [25, 31, 34, 64, 82, 83, 98, 114, 117, 134, 135, 202, 225, 232, 233, 234, 242, 249, 256, 258, 264, 272, 273, 292, 299, 304, 310], [51, 100, 131, 149, 209, 212, 221, 222, 236, 266, 274, 278, 293, 294, 295, 296, 297, 315, 317, 319, 324, 330, 331, 332, 334, 343, 356, 364], [346, 347, 351, 352, 355, 357, 361, 362, 363, 365, 368, 369, 371, 372, 374, 375, 376, 377, 378, 379, 380, 381, 382, 383, 384, 385, 386, 387, 388, 389, 390, 391, 392, 393, 394, 395, 396, 397, 398, 399, 400]]\n",
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\n",
      "text/plain": [
       "<Figure size 576x576 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Non-zero values average: 0.172015\n",
      "---------------------------------------\n",
      "Number of communities in test1000 graph: 39\n",
      "Infomap Communities:\n",
      "[[1, 117, 151, 183, 217, 233, 280, 282, 308, 439, 455, 578, 621, 657, 699, 733, 756, 761, 764, 842, 865, 869, 896, 902, 909, 919, 968, 991], [2, 24, 26, 64, 168, 209, 263, 387, 395, 523, 526, 590, 757, 759, 773, 777, 778, 811, 871, 893, 982], [3, 4, 14, 161, 174, 244, 250, 300, 338, 401, 416, 429, 444, 514, 594, 620, 654, 661, 712, 713, 746, 776, 785, 790, 798, 827, 904, 914, 954, 956], [5, 27, 69, 93, 112, 133, 224, 270, 309, 319, 361, 373, 380, 467, 502, 648, 683, 779, 817, 862, 969, 976, 992], [6, 54, 134, 194, 289, 358, 370, 376, 409, 437, 450, 451, 480, 511, 553, 604, 651, 653, 682, 767, 781, 792, 854, 926, 997], [7, 19, 180, 226, 266, 366, 372, 397, 398, 466, 473, 513, 524, 688, 691, 711, 738, 763, 809, 822, 861, 910, 939, 946, 979], [8, 12, 13, 89, 98, 175, 271, 284, 290, 350, 391, 449, 499, 500, 558, 637, 641, 743, 780, 839, 883, 927, 933, 935, 967, 984], [9, 78, 102, 135, 170, 237, 239, 265, 274, 293, 298, 332, 432, 461, 470, 478, 488, 496, 563, 567, 609, 762, 821, 828, 846, 855, 867, 924, 994], [10, 38, 59, 111, 142, 173, 197, 207, 208, 219, 238, 294, 329, 392, 415, 424, 544, 546, 587, 640, 772, 849, 879, 889, 929, 955, 983, 995], [11, 63, 123, 154, 190, 245, 260, 307, 353, 378, 396, 627, 633, 679, 704, 706, 825, 835, 900, 908, 944, 977], [15, 20, 31, 96, 106, 167, 205, 214, 246, 356, 377, 448, 516, 519, 540, 545, 583, 614, 624, 758, 851, 892, 907], [16, 101, 137, 185, 188, 192, 211, 221, 222, 286, 296, 318, 371, 446, 475, 490, 550, 562, 588, 589, 673, 696, 708, 722, 731, 837, 943, 959, 961, 962], [17, 18, 40, 84, 202, 203, 299, 313, 331, 385, 442, 474, 529, 552, 568, 591, 606, 656, 670, 755, 917, 920, 973, 989], [21, 29, 228, 253, 279, 287, 324, 379, 414, 421, 423, 472, 504, 522, 527, 652, 685, 686, 753, 852], [22, 60, 118, 144, 159, 178, 240, 257, 305, 322, 347, 357, 498, 539, 612, 702, 841, 864, 952, 960, 1000], [23, 45, 62, 110, 200, 254, 256, 276, 297, 330, 337, 351, 367, 417, 441, 447, 510, 520, 528, 574, 602, 678, 728, 729, 736, 796, 876, 884, 953, 986], [25, 30, 53, 74, 128, 148, 176, 191, 273, 285, 292, 335, 383, 412, 434, 445, 549, 551, 613, 628, 693, 775, 794, 816, 840, 966], [28, 107, 116, 181, 231, 235, 241, 374, 381, 404, 422, 469, 507, 556, 592, 732, 760, 814, 818, 834, 845, 850, 890, 912, 974], [32, 72, 94, 100, 147, 149, 155, 157, 169, 177, 223, 225, 242, 243, 262, 264, 333, 443, 548, 565, 618, 632, 645, 646, 716, 823, 873], [33, 126, 163, 193, 220, 258, 275, 509, 512, 531, 610, 647, 650, 659, 700, 782, 801, 819, 897, 996], [34, 51, 65, 75, 114, 153, 187, 196, 213, 269, 339, 365, 530, 537, 575, 576, 599, 644, 649, 658, 695, 720, 726, 740, 771, 853, 877, 899, 970, 971], [35, 121, 186, 251, 316, 325, 352, 403, 420, 458, 485, 503, 571, 577, 607, 643, 684, 754, 942, 981], [36, 42, 104, 138, 146, 160, 249, 323, 349, 405, 462, 483, 484, 508, 534, 597, 638, 676, 694, 719, 829, 831, 886, 901, 906, 918, 993], [37, 49, 57, 86, 105, 120, 198, 281, 317, 468, 497, 521, 538, 541, 547, 557, 584, 586, 605, 608, 617, 671, 707, 730, 744, 774, 807, 975, 998], [39, 56, 70, 77, 80, 150, 184, 248, 267, 303, 355, 362, 427, 452, 482, 525, 596, 666, 681, 690, 701, 784, 805, 863, 868, 930, 938, 947, 957], [41, 44, 182, 199, 311, 312, 410, 411, 425, 431, 453, 454, 464, 476, 616, 669, 725, 739, 752, 813, 866, 872, 891, 898, 903], [43, 47, 103, 129, 164, 189, 236, 247, 301, 315, 363, 386, 390, 413, 433, 471, 491, 517, 532, 555, 560, 566, 824, 916, 925, 932, 972], [46, 52, 76, 83, 108, 171, 306, 321, 388, 400, 402, 428, 572, 603, 626, 710, 727, 799, 843, 856, 859, 931, 937, 940, 950, 978], [48, 136, 140, 141, 216, 255, 369, 375, 394, 554, 598, 601, 629, 642, 697, 709, 715, 749, 885, 895], [50, 212, 283, 354, 419, 426, 465, 561, 585, 639, 737, 788, 789, 797, 810, 915, 928, 936, 964, 965, 990], [55, 58, 92, 210, 336, 342, 463, 489, 533, 536, 570, 581, 615, 665, 668, 724, 748, 791, 806, 848, 913, 945], [61, 71, 91, 97, 119, 122, 125, 143, 229, 359, 384, 477, 506, 625, 631, 680, 692, 703, 808, 812, 826, 847, 894, 958, 985], [66, 127, 131, 230, 252, 268, 314, 345, 389, 436, 460, 495, 515, 564, 580, 623, 664, 734, 765, 768, 786, 793, 815, 832, 838, 857, 887, 949, 963], [67, 85, 195, 206, 302, 310, 340, 346, 348, 399, 407, 430, 440, 494, 543, 582, 600, 630, 635, 674, 705, 721, 769, 911, 922, 948, 987], [68, 139, 179, 218, 259, 272, 320, 360, 487, 492, 493, 505, 579, 593, 595, 619, 636, 672, 687, 723, 750, 800, 802, 820, 878, 881, 888], [73, 95, 99, 115, 132, 152, 204, 215, 304, 327, 334, 418, 435, 486, 559, 569, 634, 660, 662, 663, 717, 741, 745, 844, 875, 905, 921, 934, 980, 999], [79, 88, 156, 162, 201, 227, 234, 278, 479, 542, 611, 689, 698, 735, 751, 766, 803, 860, 923, 941, 951], [81, 158, 165, 166, 261, 277, 291, 326, 328, 343, 393, 406, 438, 459, 501, 535, 622, 655, 667, 675, 742, 747, 770, 787, 804, 836, 870, 874, 882], [82, 87, 90, 109, 113, 124, 130, 145, 172, 232, 288, 295, 341, 344, 364, 368, 382, 408, 456, 457, 481, 518, 573, 677, 714, 718, 783, 795, 830, 833, 858, 880, 988]]\n",
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\n",
      "text/plain": [
       "<Figure size 576x576 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Non-zero values average: 0.809355\n",
      "---------------------------------------\n"
     ]
    }
   ],
   "source": [
    "ratio_A_infomap, avg_A_infomap = [], []\n",
    "for i in range(len(gs)):\n",
    "    com_infomap = get_comms(gs[i], \"comm_infomap\")\n",
    "    print(\"Number of communities in %s graph: %s\" % (gnames[i], len(com_infomap)))\n",
    "    print(\"Infomap Communities:\")\n",
    "    print(sorted(com_infomap))\n",
    "    r_A_infomap = seq_match(com_A[i], com_infomap)\n",
    "    print(r_A_infomap)\n",
    "    ratio_A_infomap.append(r_A_infomap)\n",
    "    plt.figure(figsize=(8,8))\n",
    "    plt.imshow(r_A_infomap, cmap=plt.cm.Purples, interpolation='nearest')\n",
    "    plt.show()\n",
    "    a_A_infomap = nonzeroavg(r_A_infomap)\n",
    "    print(\"Non-zero values average: %f\" % a_A_infomap)\n",
    "    avg_A_infomap.append(a_A_infomap)\n",
    "    print(sprtr)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "graph: test75\n",
      "Sequental matching ratio: 0.965517\n",
      "Index: 3 - 1\n",
      "[9, 10, 14, 23, 26, 27, 29, 30, 38, 48, 58, 61, 69, 73, 74]\n",
      "[9, 10, 14, 23, 26, 29, 30, 38, 48, 58, 61, 69, 73, 74]\n",
      "----------------------\n",
      "Sequental matching ratio: 0.933333\n",
      "Index: 5 - 4\n",
      "[2, 5, 39, 53, 56, 65, 66]\n",
      "[2, 5, 19, 39, 53, 56, 65, 66]\n",
      "----------------------\n",
      "Sequental matching ratio: 0.842105\n",
      "Index: 9 - 2\n",
      "[4, 7, 12, 13, 25, 32, 33, 71, 72]\n",
      "[4, 7, 12, 22, 25, 32, 33, 50, 71, 72]\n",
      "----------------------\n",
      "Sequental matching ratio: 0.823529\n",
      "Index: 4 - 3\n",
      "[6, 17, 18, 22, 34, 41, 42, 67, 68]\n",
      "[6, 18, 34, 41, 42, 59, 67, 68]\n",
      "----------------------\n",
      "Sequental matching ratio: 0.777778\n",
      "Index: 8 - 0\n",
      "[8, 15, 16, 20, 37, 45, 46, 47, 50, 51, 52, 57, 60, 62, 63, 64, 70, 75]\n",
      "[3, 8, 13, 15, 16, 17, 20, 43, 47, 51, 52, 57, 60, 62, 63, 64, 70, 75]\n",
      "----------------------\n",
      "Sequental matching ratio: 0.769231\n",
      "Index: 7 - 6\n",
      "[3, 28, 31, 36, 40, 49]\n",
      "[24, 28, 31, 36, 40, 45, 49]\n",
      "----------------------\n",
      "Sequental matching ratio: 0.769231\n",
      "Index: 10 - 5\n",
      "[1, 21, 24, 35, 43, 54, 55, 59]\n",
      "[1, 21, 35, 54, 55]\n",
      "----------------------\n",
      "Sequental matching ratio: 0.511628\n",
      "Index: 1 - 0\n",
      "[8, 15, 16, 20, 37, 45, 46, 47, 50, 51, 52, 57, 60, 62, 63, 64, 70, 75]\n",
      "[1, 10, 11, 15, 16, 19, 23, 37, 42, 43, 44, 45, 46, 47, 50, 52, 55, 56, 57, 59, 61, 66, 70, 71, 75]\n",
      "----------------------\n",
      "Sequental matching ratio: 0.500000\n",
      "Index: 6 - 7\n",
      "[11, 19, 44]\n",
      "[11, 27, 37, 44, 46]\n",
      "----------------------\n",
      "graph: test100\n",
      "Sequental matching ratio: 1.000000\n",
      "Index: 4 - 5\n",
      "[8, 19, 22, 34, 41]\n",
      "[8, 19, 22, 34, 41]\n",
      "----------------------\n",
      "Sequental matching ratio: 1.000000\n",
      "Index: 6 - 6\n",
      "[1, 25, 27, 39, 44]\n",
      "[1, 25, 27, 39, 44]\n",
      "----------------------\n",
      "Sequental matching ratio: 1.000000\n",
      "Index: 7 - 2\n",
      "[32, 36, 51, 53, 68, 69, 71]\n",
      "[32, 36, 51, 53, 68, 69, 71]\n",
      "----------------------\n",
      "Sequental matching ratio: 1.000000\n",
      "Index: 9 - 3\n",
      "[6, 10, 13, 24, 45, 56, 70]\n",
      "[6, 10, 13, 24, 45, 56, 70]\n",
      "----------------------\n",
      "Sequental matching ratio: 1.000000\n",
      "Index: 10 - 1\n",
      "[2, 14, 21, 28, 50, 52, 60, 75, 81]\n",
      "[2, 14, 21, 28, 50, 52, 60, 75, 81]\n",
      "----------------------\n",
      "Sequental matching ratio: 1.000000\n",
      "Index: 11 - 4\n",
      "[9, 26, 29, 40, 43]\n",
      "[9, 26, 29, 40, 43]\n",
      "----------------------\n",
      "Sequental matching ratio: 0.506024\n",
      "Index: 5 - 0\n",
      "[3, 4, 5, 7, 11, 12, 15, 16, 17, 18, 20, 23, 30, 31, 33, 35, 37, 38, 42, 46, 47, 48, 49, 54, 55, 57, 58, 59, 61, 62, 63, 64, 65, 66, 67, 72, 73, 74, 76, 77, 78, 79, 80, 82, 83, 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 96, 97, 98, 99, 100]\n",
      "[4, 15, 17, 18, 23, 33, 46, 54, 59, 65, 66, 67, 73, 79, 82, 87, 88, 89, 95, 96, 99]\n",
      "----------------------\n",
      "Sequental matching ratio: 0.441860\n",
      "Index: 2 - 0\n",
      "[3, 4, 5, 7, 11, 12, 15, 16, 17, 18, 20, 23, 30, 31, 33, 35, 37, 38, 42, 46, 47, 48, 49, 54, 55, 57, 58, 59, 61, 62, 63, 64, 65, 66, 67, 72, 73, 74, 76, 77, 78, 79, 80, 82, 83, 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 96, 97, 98, 99, 100]\n",
      "[7, 11, 14, 16, 19, 23, 30, 31, 37, 42, 45, 57, 58, 59, 61, 65, 66, 68, 77, 79, 81, 90, 91, 93]\n",
      "----------------------\n",
      "graph: test400\n",
      "Sequental matching ratio: 1.000000\n",
      "Index: 0 - 2\n",
      "[51, 100, 131, 149, 209, 212, 221, 222, 236, 266, 274, 278, 293, 294, 295, 296, 297, 315, 317, 319, 324, 330, 331, 332, 334, 343, 356, 364]\n",
      "[51, 100, 131, 149, 209, 212, 221, 222, 236, 266, 274, 278, 293, 294, 295, 296, 297, 315, 317, 319, 324, 330, 331, 332, 334, 343, 356, 364]\n",
      "----------------------\n",
      "Sequental matching ratio: 1.000000\n",
      "Index: 1 - 7\n",
      "[25, 31, 34, 64, 82, 83, 98, 114, 117, 134, 135, 202, 225, 232, 233, 234, 242, 249, 256, 258, 264, 272, 273, 292, 299, 304, 310]\n",
      "[25, 31, 34, 64, 82, 83, 98, 114, 117, 134, 135, 202, 225, 232, 233, 234, 242, 249, 256, 258, 264, 272, 273, 292, 299, 304, 310]\n",
      "----------------------\n",
      "Sequental matching ratio: 1.000000\n",
      "Index: 2 - 11\n",
      "[11, 33, 61, 72, 86, 87, 96, 102, 115, 118, 119, 136, 164, 167, 170, 171, 178, 181, 193, 194, 197, 198, 203, 220]\n",
      "[11, 33, 61, 72, 86, 87, 96, 102, 115, 118, 119, 136, 164, 167, 170, 171, 178, 181, 193, 194, 197, 198, 203, 220]\n",
      "----------------------\n",
      "Sequental matching ratio: 1.000000\n",
      "Index: 3 - 4\n",
      "[3, 49, 84, 106, 109, 168, 196, 205, 215, 241, 252, 255, 262, 263, 283, 311, 318, 320, 328, 329, 336, 338, 339, 340, 341, 353, 354, 366]\n",
      "[3, 49, 84, 106, 109, 168, 196, 205, 215, 241, 252, 255, 262, 263, 283, 311, 318, 320, 328, 329, 336, 338, 339, 340, 341, 353, 354, 366]\n",
      "----------------------\n",
      "Sequental matching ratio: 1.000000\n",
      "Index: 4 - 8\n",
      "[14, 26, 39, 40, 53, 66, 89, 125, 144, 148, 175, 184, 186, 189, 191, 192, 206, 207, 224, 226, 228, 247, 269, 270, 284, 309]\n",
      "[14, 26, 39, 40, 53, 66, 89, 125, 144, 148, 175, 184, 186, 189, 191, 192, 206, 207, 224, 226, 228, 247, 269, 270, 284, 309]\n",
      "----------------------\n",
      "Sequental matching ratio: 1.000000\n",
      "Index: 5 - 5\n",
      "[20, 56, 116, 124, 143, 146, 155, 158, 182, 204, 210, 227, 230, 235, 238, 239, 240, 259, 279, 280, 285, 287, 288, 291, 306, 314, 316]\n",
      "[20, 56, 116, 124, 143, 146, 155, 158, 182, 204, 210, 227, 230, 235, 238, 239, 240, 259, 279, 280, 285, 287, 288, 291, 306, 314, 316]\n",
      "----------------------\n",
      "Sequental matching ratio: 1.000000\n",
      "Index: 6 - 10\n",
      "[15, 18, 59, 71, 73, 91, 112, 126, 129, 138, 151, 153, 157, 161, 169, 172, 176, 177, 179, 183, 188, 211, 218, 219]\n",
      "[15, 18, 59, 71, 73, 91, 112, 126, 129, 138, 151, 153, 157, 161, 169, 172, 176, 177, 179, 183, 188, 211, 218, 219]\n",
      "----------------------\n",
      "Sequental matching ratio: 1.000000\n",
      "Index: 7 - 6\n",
      "[2, 8, 32, 62, 92, 121, 122, 127, 139, 140, 152, 214, 216, 243, 245, 248, 261, 267, 281, 289, 290, 298, 300, 303, 308, 312, 327]\n",
      "[2, 8, 32, 62, 92, 121, 122, 127, 139, 140, 152, 214, 216, 243, 245, 248, 261, 267, 281, 289, 290, 298, 300, 303, 308, 312, 327]\n",
      "----------------------\n",
      "Sequental matching ratio: 1.000000\n",
      "Index: 8 - 3\n",
      "[17, 60, 120, 147, 159, 213, 223, 229, 246, 253, 254, 257, 268, 276, 277, 282, 286, 305, 321, 322, 325, 337, 348, 350, 358, 359, 360, 370]\n",
      "[17, 60, 120, 147, 159, 213, 223, 229, 246, 253, 254, 257, 268, 276, 277, 282, 286, 305, 321, 322, 325, 337, 348, 350, 358, 359, 360, 370]\n",
      "----------------------\n",
      "Sequental matching ratio: 1.000000\n",
      "Index: 9 - 0\n",
      "[346, 347, 351, 352, 355, 357, 361, 362, 363, 365, 368, 369, 371, 372, 374, 375, 376, 377, 378, 379, 380, 381, 382, 383, 384, 385, 386, 387, 388, 389, 390, 391, 392, 393, 394, 395, 396, 397, 398, 399, 400]\n",
      "[346, 347, 351, 352, 355, 357, 361, 362, 363, 365, 368, 369, 371, 372, 374, 375, 376, 377, 378, 379, 380, 381, 382, 383, 384, 385, 386, 387, 388, 389, 390, 391, 392, 393, 394, 395, 396, 397, 398, 399, 400]\n",
      "----------------------\n",
      "Sequental matching ratio: 1.000000\n",
      "Index: 10 - 13\n",
      "[5, 9, 27, 30, 37, 45, 50, 54, 58, 65, 69, 74, 76, 77, 80, 81, 90, 97, 99, 103, 133, 162]\n",
      "[5, 9, 27, 30, 37, 45, 50, 54, 58, 65, 69, 74, 76, 77, 80, 81, 90, 97, 99, 103, 133, 162]\n",
      "----------------------\n",
      "Sequental matching ratio: 1.000000\n",
      "Index: 11 - 14\n",
      "[1, 4, 6, 21, 22, 24, 28, 35, 38, 42, 43, 44, 68, 78, 88, 93, 94, 95, 105, 108, 113, 145]\n",
      "[1, 4, 6, 21, 22, 24, 28, 35, 38, 42, 43, 44, 68, 78, 88, 93, 94, 95, 105, 108, 113, 145]\n",
      "----------------------\n",
      "Sequental matching ratio: 1.000000\n",
      "Index: 12 - 12\n",
      "[10, 16, 19, 36, 41, 46, 55, 57, 63, 67, 70, 79, 101, 128, 130, 141, 142, 154, 156, 163, 165, 185, 195]\n",
      "[10, 16, 19, 36, 41, 46, 55, 57, 63, 67, 70, 79, 101, 128, 130, 141, 142, 154, 156, 163, 165, 185, 195]\n",
      "----------------------\n",
      "Sequental matching ratio: 1.000000\n",
      "Index: 13 - 9\n",
      "[7, 12, 13, 29, 47, 48, 52, 75, 104, 107, 110, 111, 132, 160, 166, 173, 174, 180, 190, 201, 208, 217, 231, 271, 275]\n",
      "[7, 12, 13, 29, 47, 48, 52, 75, 104, 107, 110, 111, 132, 160, 166, 173, 174, 180, 190, 201, 208, 217, 231, 271, 275]\n",
      "----------------------\n",
      "Sequental matching ratio: 1.000000\n",
      "Index: 14 - 1\n",
      "[23, 85, 123, 137, 150, 187, 199, 200, 237, 244, 250, 251, 260, 265, 301, 302, 307, 313, 323, 326, 333, 335, 342, 344, 345, 349, 367, 373]\n",
      "[23, 85, 123, 137, 150, 187, 199, 200, 237, 244, 250, 251, 260, 265, 301, 302, 307, 313, 323, 326, 333, 335, 342, 344, 345, 349, 367, 373]\n",
      "----------------------\n",
      "graph: test1000\n",
      "Sequental matching ratio: 1.000000\n",
      "Index: 0 - 25\n",
      "[25, 30, 53, 74, 128, 148, 176, 191, 273, 285, 292, 335, 383, 412, 434, 445, 549, 551, 613, 628, 693, 775, 794, 816, 840, 966]\n",
      "[25, 30, 53, 74, 128, 148, 176, 191, 273, 285, 292, 335, 383, 412, 434, 445, 549, 551, 613, 628, 693, 775, 794, 816, 840, 966]\n",
      "----------------------\n",
      "Sequental matching ratio: 1.000000\n",
      "Index: 1 - 28\n",
      "[11, 63, 123, 154, 190, 245, 260, 307, 353, 378, 396, 627, 633, 679, 704, 706, 825, 835, 900, 908, 944, 977]\n",
      "[11, 63, 123, 154, 190, 245, 260, 307, 353, 378, 396, 627, 633, 679, 704, 706, 825, 835, 900, 908, 944, 977]\n",
      "----------------------\n",
      "Sequental matching ratio: 1.000000\n",
      "Index: 2 - 31\n",
      "[79, 88, 156, 162, 201, 227, 234, 278, 479, 542, 611, 689, 698, 735, 751, 766, 803, 860, 923, 941, 951]\n",
      "[79, 88, 156, 162, 201, 227, 234, 278, 479, 542, 611, 689, 698, 735, 751, 766, 803, 860, 923, 941, 951]\n",
      "----------------------\n",
      "Sequental matching ratio: 1.000000\n",
      "Index: 3 - 8\n",
      "[81, 158, 165, 166, 261, 277, 291, 326, 328, 343, 393, 406, 438, 459, 501, 535, 622, 655, 667, 675, 742, 747, 770, 787, 804, 836, 870, 874, 882]\n",
      "[81, 158, 165, 166, 261, 277, 291, 326, 328, 343, 393, 406, 438, 459, 501, 535, 622, 655, 667, 675, 742, 747, 770, 787, 804, 836, 870, 874, 882]\n",
      "----------------------\n",
      "Sequental matching ratio: 1.000000\n",
      "Index: 4 - 13\n",
      "[37, 49, 57, 86, 105, 120, 198, 281, 317, 468, 497, 521, 538, 541, 547, 557, 584, 586, 605, 608, 617, 671, 707, 730, 744, 774, 807, 975, 998]\n",
      "[37, 49, 57, 86, 105, 120, 198, 281, 317, 468, 497, 521, 538, 541, 547, 557, 584, 586, 605, 608, 617, 671, 707, 730, 744, 774, 807, 975, 998]\n",
      "----------------------\n",
      "Sequental matching ratio: 1.000000\n",
      "Index: 5 - 3\n",
      "[1, 117, 151, 183, 217, 233, 280, 282, 308, 439, 455, 578, 621, 657, 699, 733, 756, 761, 764, 842, 865, 869, 896, 902, 909, 919, 968, 991]\n",
      "[1, 117, 151, 183, 217, 233, 280, 282, 308, 439, 455, 578, 621, 657, 699, 733, 756, 761, 764, 842, 865, 869, 896, 902, 909, 919, 968, 991]\n",
      "----------------------\n",
      "Sequental matching ratio: 1.000000\n",
      "Index: 6 - 29\n",
      "[55, 58, 92, 210, 336, 342, 463, 489, 533, 536, 570, 581, 615, 665, 668, 724, 748, 791, 806, 848, 913, 945]\n",
      "[55, 58, 92, 210, 336, 342, 463, 489, 533, 536, 570, 581, 615, 665, 668, 724, 748, 791, 806, 848, 913, 945]\n",
      "----------------------\n",
      "Sequental matching ratio: 1.000000\n",
      "Index: 7 - 33\n",
      "[2, 24, 26, 64, 168, 209, 263, 387, 395, 523, 526, 590, 757, 759, 773, 777, 778, 811, 871, 893, 982]\n",
      "[2, 24, 26, 64, 168, 209, 263, 387, 395, 523, 526, 590, 757, 759, 773, 777, 778, 811, 871, 893, 982]\n",
      "----------------------\n",
      "Sequental matching ratio: 1.000000\n",
      "Index: 8 - 6\n",
      "[39, 56, 70, 77, 80, 150, 184, 248, 267, 303, 355, 362, 427, 452, 482, 525, 596, 666, 681, 690, 701, 784, 805, 863, 868, 930, 938, 947, 957]\n",
      "[39, 56, 70, 77, 80, 150, 184, 248, 267, 303, 355, 362, 427, 452, 482, 525, 596, 666, 681, 690, 701, 784, 805, 863, 868, 930, 938, 947, 957]\n",
      "----------------------\n",
      "Sequental matching ratio: 1.000000\n",
      "Index: 9 - 34\n",
      "[22, 60, 118, 144, 159, 178, 240, 257, 305, 322, 347, 357, 498, 539, 612, 702, 841, 864, 952, 960, 1000]\n",
      "[22, 60, 118, 144, 159, 178, 240, 257, 305, 322, 347, 357, 498, 539, 612, 702, 841, 864, 952, 960, 1000]\n",
      "----------------------\n",
      "Sequental matching ratio: 1.000000\n",
      "Index: 10 - 27\n",
      "[32, 72, 94, 100, 147, 149, 155, 157, 169, 177, 223, 225, 242, 243, 262, 264, 333, 443, 548, 565, 618, 632, 645, 646, 716, 823, 873]\n",
      "[32, 72, 94, 100, 147, 149, 155, 157, 169, 177, 223, 225, 242, 243, 262, 264, 333, 443, 548, 565, 618, 632, 645, 646, 716, 823, 873]\n",
      "----------------------\n",
      "Sequental matching ratio: 1.000000\n",
      "Index: 11 - 30\n",
      "[5, 27, 69, 93, 112, 133, 224, 270, 309, 319, 361, 373, 380, 467, 502, 648, 683, 779, 817, 862, 969, 976, 992]\n",
      "[5, 27, 69, 93, 112, 133, 224, 270, 309, 319, 361, 373, 380, 467, 502, 648, 683, 779, 817, 862, 969, 976, 992]\n",
      "----------------------\n",
      "Sequental matching ratio: 1.000000\n",
      "Index: 12 - 19\n",
      "[43, 47, 103, 129, 164, 189, 236, 247, 301, 315, 363, 386, 390, 413, 433, 471, 491, 517, 532, 555, 560, 566, 824, 916, 925, 932, 972]\n",
      "[43, 47, 103, 129, 164, 189, 236, 247, 301, 315, 363, 386, 390, 413, 433, 471, 491, 517, 532, 555, 560, 566, 824, 916, 925, 932, 972]\n",
      "----------------------\n",
      "Sequental matching ratio: 1.000000\n",
      "Index: 13 - 20\n",
      "[28, 107, 116, 181, 231, 235, 241, 374, 381, 404, 422, 469, 507, 556, 592, 732, 760, 814, 818, 834, 845, 850, 890, 912, 974]\n",
      "[28, 107, 116, 181, 231, 235, 241, 374, 381, 404, 422, 469, 507, 556, 592, 732, 760, 814, 818, 834, 845, 850, 890, 912, 974]\n",
      "----------------------\n",
      "Sequental matching ratio: 1.000000\n",
      "Index: 14 - 11\n",
      "[46, 52, 76, 83, 108, 171, 306, 321, 388, 400, 402, 428, 572, 603, 626, 710, 727, 799, 843, 856, 859, 931, 937, 940, 950, 978]\n",
      "[46, 52, 76, 83, 108, 171, 306, 321, 388, 400, 402, 428, 572, 603, 626, 710, 727, 799, 843, 856, 859, 931, 937, 940, 950, 978]\n",
      "----------------------\n",
      "Sequental matching ratio: 1.000000\n",
      "Index: 15 - 23\n",
      "[6, 54, 134, 194, 289, 358, 370, 376, 409, 437, 450, 451, 480, 511, 553, 604, 651, 653, 682, 767, 781, 792, 854, 926, 997]\n",
      "[6, 54, 134, 194, 289, 358, 370, 376, 409, 437, 450, 451, 480, 511, 553, 604, 651, 653, 682, 767, 781, 792, 854, 926, 997]\n",
      "----------------------\n",
      "Sequental matching ratio: 1.000000\n",
      "Index: 16 - 4\n",
      "[66, 127, 131, 230, 252, 268, 314, 345, 389, 436, 460, 495, 515, 564, 580, 623, 664, 734, 765, 768, 786, 793, 815, 832, 838, 857, 887, 949, 963]\n",
      "[66, 127, 131, 230, 252, 268, 314, 345, 389, 436, 460, 495, 515, 564, 580, 623, 664, 734, 765, 768, 786, 793, 815, 832, 838, 857, 887, 949, 963]\n",
      "----------------------\n",
      "Sequental matching ratio: 1.000000\n",
      "Index: 17 - 22\n",
      "[61, 71, 91, 97, 119, 122, 125, 143, 229, 359, 384, 477, 506, 625, 631, 680, 692, 703, 808, 812, 826, 847, 894, 958, 985]\n",
      "[61, 71, 91, 97, 119, 122, 125, 143, 229, 359, 384, 477, 506, 625, 631, 680, 692, 703, 808, 812, 826, 847, 894, 958, 985]\n",
      "----------------------\n",
      "Sequental matching ratio: 1.000000\n",
      "Index: 18 - 7\n",
      "[16, 101, 137, 185, 188, 192, 211, 221, 222, 286, 296, 318, 371, 446, 475, 490, 550, 562, 588, 589, 673, 696, 708, 722, 731, 837, 943, 959, 961, 962]\n",
      "[16, 101, 137, 185, 188, 192, 211, 221, 222, 286, 296, 318, 371, 446, 475, 490, 550, 562, 588, 589, 673, 696, 708, 722, 731, 837, 943, 959, 961, 962]\n",
      "----------------------\n",
      "Sequental matching ratio: 1.000000\n",
      "Index: 19 - 32\n",
      "[15, 20, 31, 96, 106, 167, 205, 214, 246, 356, 377, 448, 516, 519, 540, 545, 583, 614, 624, 758, 851, 892, 907]\n",
      "[15, 20, 31, 96, 106, 167, 205, 214, 246, 356, 377, 448, 516, 519, 540, 545, 583, 614, 624, 758, 851, 892, 907]\n",
      "----------------------\n",
      "Sequental matching ratio: 1.000000\n",
      "Index: 20 - 17\n",
      "[67, 85, 195, 206, 302, 310, 340, 346, 348, 399, 407, 430, 440, 494, 543, 582, 600, 630, 635, 674, 705, 721, 769, 911, 922, 948, 987]\n",
      "[67, 85, 195, 206, 302, 310, 340, 346, 348, 399, 407, 430, 440, 494, 543, 582, 600, 630, 635, 674, 705, 721, 769, 911, 922, 948, 987]\n",
      "----------------------\n",
      "Sequental matching ratio: 1.000000\n",
      "Index: 21 - 9\n",
      "[23, 45, 62, 110, 200, 254, 256, 276, 297, 330, 337, 351, 367, 417, 441, 447, 510, 520, 528, 574, 602, 678, 728, 729, 736, 796, 876, 884, 953, 986]\n",
      "[23, 45, 62, 110, 200, 254, 256, 276, 297, 330, 337, 351, 367, 417, 441, 447, 510, 520, 528, 574, 602, 678, 728, 729, 736, 796, 876, 884, 953, 986]\n",
      "----------------------\n",
      "Sequental matching ratio: 1.000000\n",
      "Index: 22 - 24\n",
      "[50, 212, 283, 354, 419, 426, 465, 561, 585, 639, 737, 788, 789, 797, 810, 915, 928, 936, 964, 965, 990]\n",
      "[50, 212, 283, 354, 419, 426, 465, 561, 585, 639, 737, 788, 789, 797, 810, 915, 928, 936, 964, 965, 990]\n",
      "----------------------\n",
      "Sequental matching ratio: 1.000000\n",
      "Index: 23 - 2\n",
      "[73, 95, 99, 115, 132, 152, 204, 215, 304, 327, 334, 418, 435, 486, 559, 569, 634, 660, 662, 663, 717, 741, 745, 844, 875, 905, 921, 934, 980, 999]\n",
      "[73, 95, 99, 115, 132, 152, 204, 215, 304, 327, 334, 418, 435, 486, 559, 569, 634, 660, 662, 663, 717, 741, 745, 844, 875, 905, 921, 934, 980, 999]\n",
      "----------------------\n",
      "Sequental matching ratio: 1.000000\n",
      "Index: 24 - 0\n",
      "[82, 87, 90, 109, 113, 124, 130, 145, 172, 232, 288, 295, 341, 344, 364, 368, 382, 408, 456, 457, 481, 518, 573, 677, 714, 718, 783, 795, 830, 833, 858, 880, 988]\n",
      "[82, 87, 90, 109, 113, 124, 130, 145, 172, 232, 288, 295, 341, 344, 364, 368, 382, 408, 456, 457, 481, 518, 573, 677, 714, 718, 783, 795, 830, 833, 858, 880, 988]\n",
      "----------------------\n"
     ]
    }
   ],
   "source": [
    "limiter = 0.4\n",
    "for i in range(len(gs)):\n",
    "    print(\"graph: %s\" % gnames[i])\n",
    "    getHighestRatios(ratio_A_infomap[i], 25, com_A[i], get_comms(gs[i], \"comm_infomap\"), limiter)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Number of communities in test75 graph: 3\n",
      "Asynchronous Fluid (A) Communities:\n",
      "[[1, 4, 7, 9, 10, 14, 18, 21, 24, 25, 26, 27, 29, 30, 32, 34, 35, 36, 38, 48, 49, 54, 55, 58, 69, 72, 73, 74], [2, 3, 5, 8, 13, 15, 20, 28, 31, 39, 40, 41, 43, 45, 47, 51, 53, 57, 60, 62, 63, 64, 65, 67, 70, 75], [6, 11, 12, 16, 17, 19, 22, 23, 33, 37, 42, 44, 46, 50, 52, 56, 59, 61, 66, 68, 71]]\n",
      "[[0.49056603773584906, 0.35294117647058826, 0.13043478260869565], [0.11320754716981132, 0.27450980392156865, 0.6521739130434783], [0.4528301886792453, 0.39215686274509803, 0.13043478260869565], [0.5714285714285714, 0.0, 0.11428571428571428], [0.1111111111111111, 0.11764705882352941, 0.27586206896551724], [0.0, 0.29411764705882354, 0.20689655172413793], [0.06060606060606061, 0.0, 0.3076923076923077], [0.17142857142857143, 0.24242424242424243, 0.0], [0.0, 0.6818181818181818, 0.15384615384615385], [0.2631578947368421, 0.0, 0.3225806451612903], [0.30303030303030304, 0.0, 0.0]]\n"
     ]
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 576x576 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Non-zero values average: 0.317011\n",
      "---------------------------------------\n",
      "Number of communities in test100 graph: 4\n",
      "Asynchronous Fluid (A) Communities:\n",
      "[[1, 2, 14, 15, 17, 21, 25, 27, 28, 39, 43, 44, 46, 50, 52, 57, 60, 62, 67, 75, 78, 81, 82, 99, 100], [3, 4, 9, 20, 26, 36, 37, 40, 47, 49, 51, 53, 59, 64, 66, 68, 69, 71, 74, 76, 94, 95, 96, 98], [5, 7, 11, 16, 18, 23, 30, 31, 35, 42, 54, 55, 58, 61, 63, 72, 77, 80, 83, 84, 85, 86, 90, 91, 92, 93], [6, 8, 10, 12, 13, 19, 22, 24, 29, 32, 33, 34, 38, 41, 45, 48, 56, 65, 70, 73, 79, 87, 88, 89, 97]]\n",
      "[[0.16, 0.7058823529411765, 0.11538461538461539, 0.0392156862745098], [0.0, 0.0392156862745098, 0.2692307692307692, 0.7058823529411765], [0.16666666666666666, 0.16326530612244897, 0.52, 0.12244897959183673], [0.6666666666666666, 0.08163265306122448, 0.12, 0.12244897959183673], [0.0, 0.3333333333333333, 0.0, 0.0], [0.2222222222222222, 0.30434782608695654, 0.1276595744680851, 0.2608695652173913], [0.0, 0.0, 0.0, 0.3333333333333333], [0.3870967741935484, 0.0625, 0.0, 0.0], [0.3076923076923077, 0.12121212121212122, 0.6865671641791045, 0.12121212121212122], [0.0, 0.4375, 0.0, 0.0], [0.0, 0.0, 0.0, 0.5294117647058824], [0.20689655172413793, 0.06666666666666667, 0.0, 0.06666666666666667]]\n"
     ]
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 576x576 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Non-zero values average: 0.387886\n",
      "---------------------------------------\n",
      "Number of communities in test400 graph: 15\n",
      "Asynchronous Fluid (A) Communities:\n",
      "[[1, 4, 5, 6, 9, 21, 22, 24, 27, 28, 30, 35, 37, 38, 42, 43, 44, 45, 50, 54, 58, 65, 68, 69, 74, 76, 77, 78, 80, 81, 88, 90, 93, 94, 95, 97, 99, 103, 105, 108, 113, 133, 145, 162], [2, 8, 32, 62, 92, 121, 122, 127, 139, 140, 152, 214, 216, 243, 245, 248, 261, 267, 281, 289, 290, 298, 300, 303, 308, 312, 327], [3, 49, 205, 241, 262, 263, 283, 311, 329, 338, 354], [7, 12, 13, 29, 47, 48, 52, 75, 104, 107, 110, 111, 132, 160, 166, 173, 174, 180, 190, 201, 208, 217, 231, 271, 275], [10, 16, 19, 36, 41, 46, 55, 57, 63, 67, 70, 79, 101, 128, 130, 141, 142, 154, 156, 163, 165, 185, 195], [11, 33, 61, 72, 86, 87, 96, 102, 115, 118, 119, 136, 164, 167, 170, 171, 178, 181, 193, 194, 197, 198, 203, 220, 346, 347, 351, 352, 355, 357, 361, 362, 363, 365, 368, 369, 371, 372, 374, 375, 376, 377, 378, 379, 380, 381, 382, 383, 384, 385, 386, 387, 388, 389, 390, 391, 392, 393, 394, 395, 396, 397, 398, 399, 400], [14, 26, 39, 40, 53, 66, 89, 125, 144, 148, 175, 184, 186, 189, 191, 192, 206, 207, 224, 226, 228, 247, 269, 270, 284, 309], [15, 18, 59, 71, 73, 91, 112, 126, 129, 138, 151, 153, 157, 161, 169, 172, 176, 177, 179, 183, 188, 211, 218, 219], [17, 60, 120, 147, 159, 213, 223, 229, 246, 253, 254, 257, 268, 276, 277, 282, 286, 305, 321, 322, 325, 337, 348, 350, 358, 359, 360, 370], [20, 56, 116, 124, 143, 146, 155, 158, 182, 204, 210, 227, 230, 235, 238, 239, 240, 259, 279, 280, 285, 287, 288, 291, 306, 314, 316], [23, 85, 123, 137, 150, 187, 199, 200, 237, 244, 250, 251, 260, 265, 301, 302, 307, 313, 323, 326, 333, 335, 342, 344, 345, 349, 367, 373], [25, 34, 82, 83, 117, 234, 256, 264, 299, 304], [31, 64, 98, 114, 134, 135, 202, 225, 232, 233, 242, 249, 258, 272, 273, 292, 310], [51, 100, 131, 149, 209, 212, 221, 222, 236, 266, 274, 278, 293, 294, 295, 296, 297, 315, 317, 319, 324, 330, 331, 332, 334, 343, 356, 364], [84, 106, 109, 168, 196, 215, 252, 255, 318, 320, 328, 336, 339, 340, 341, 353, 366]]\n",
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     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 576x576 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Non-zero values average: 0.205445\n",
      "---------------------------------------\n",
      "Number of communities in test1000 graph: 39\n",
      "Asynchronous Fluid (A) Communities:\n",
      "[[1, 109, 117, 151, 183, 233, 308, 455, 482, 492, 578, 593, 621, 657, 699, 733, 756, 761, 764, 820, 833, 842, 865, 869, 896, 902, 909, 919, 968, 991], [2, 19, 24, 168, 209, 243, 245, 263, 387, 395, 473, 513, 523, 526, 565, 590, 625, 757, 759, 763, 773, 777, 778, 783, 809, 811, 822, 871, 893, 939, 979, 982], [3, 46, 51, 64, 127, 252, 259, 313, 338, 358, 401, 515, 594, 595, 626, 661, 765, 776, 792, 793, 798, 827, 838, 900, 978], [4, 11, 23, 37, 45, 49, 110, 154, 200, 297, 305, 337, 351, 367, 414, 417, 447, 468, 497, 528, 602, 627, 671, 796, 953, 975, 986], [5, 27, 33, 93, 126, 163, 193, 220, 224, 258, 270, 275, 309, 319, 361, 380, 467, 502, 509, 512, 531, 588, 610, 647, 650, 659, 683, 700, 779, 782, 801, 819, 862, 897, 969, 976, 992, 996], [6, 25, 69, 90, 124, 148, 172, 176, 191, 273, 341, 364, 368, 373, 412, 481, 573, 583, 648, 677, 781, 840, 858], [7, 20, 29, 56, 144, 150, 159, 178, 184, 267, 347, 357, 498, 539, 612, 666, 688, 701, 784, 841, 930, 947, 952, 957, 960, 1000], [8, 12, 13, 173, 175, 208, 266, 290, 350, 391, 407, 415, 424, 449, 499, 500, 558, 600, 635, 641, 646, 743, 772, 780, 839, 849, 883, 927, 933, 935, 967, 984, 995], [9, 57, 179, 198, 239, 432, 461, 470, 478, 496, 521, 538, 557, 584, 605, 672, 802, 855], [10, 22, 26, 80, 112, 122, 125, 136, 140, 216, 229, 248, 286, 549, 598, 601, 629, 693, 737, 817, 879, 881, 885], [14, 61, 85, 123, 186, 188, 206, 217, 280, 282, 348, 396, 439, 477, 494, 618, 633, 703, 825, 894], [15, 31, 70, 77, 89, 92, 111, 131, 167, 210, 284, 303, 342, 355, 362, 436, 452, 516, 536, 637, 681, 868, 938, 945], [16, 66, 94, 96, 101, 211, 262, 314, 318, 371, 490, 550, 623, 673, 722, 731, 734, 744, 837, 864, 944, 949, 961], [17, 18, 84, 255, 260, 268, 277, 299, 353, 394, 474, 642, 670, 679, 708, 713, 749, 755, 785, 835, 888, 920, 962, 973], [21, 34, 75, 106, 213, 324, 356, 421, 448, 530, 537, 540, 545, 576, 599, 644, 649, 658, 685, 695, 753, 853, 877, 892, 907], [28, 107, 116, 177, 181, 231, 235, 241, 374, 381, 404, 422, 469, 507, 556, 592, 632, 636, 732, 760, 814, 818, 834, 845, 850, 890, 912, 974], [30, 32, 53, 74, 128, 169, 212, 225, 242, 264, 292, 335, 383, 434, 445, 465, 613, 628, 639, 775, 794, 816, 873, 966], [35, 121, 139, 316, 325, 345, 352, 389, 403, 420, 458, 460, 485, 493, 564, 571, 577, 643, 684, 754, 786, 832, 857, 878, 942, 970, 981], [36, 42, 104, 138, 146, 160, 240, 249, 257, 322, 323, 349, 360, 405, 462, 483, 484, 508, 534, 597, 638, 676, 687, 694, 702, 719, 829, 831, 886, 901, 906, 918, 993], [38, 59, 147, 149, 197, 207, 294, 302, 310, 329, 333, 340, 392, 430, 440, 582, 663, 674, 769, 889, 905, 922, 948, 955, 983, 987], [39, 71, 73, 114, 115, 196, 215, 251, 369, 427, 503, 559, 569, 596, 645, 741, 745, 805, 863, 895, 921, 934, 999], [40, 68, 187, 190, 230, 285, 331, 385, 399, 442, 487, 495, 505, 525, 543, 551, 580, 705, 721, 723, 800, 887], [41, 44, 54, 182, 199, 311, 312, 370, 376, 378, 410, 411, 431, 453, 454, 464, 476, 553, 616, 653, 725, 739, 752, 813, 854, 866, 872, 891, 898, 903, 908], [43, 47, 103, 129, 164, 189, 195, 236, 247, 301, 315, 363, 386, 390, 413, 433, 471, 491, 517, 532, 555, 560, 566, 589, 630, 824, 916, 925, 932, 972], [48, 58, 141, 192, 222, 287, 336, 375, 463, 475, 489, 533, 554, 581, 665, 668, 697, 709, 715, 724, 748, 791, 848, 913, 959], [50, 76, 214, 246, 283, 354, 377, 402, 419, 426, 519, 561, 585, 614, 758, 767, 788, 789, 797, 810, 856, 915, 928, 936, 964, 965, 990], [52, 83, 100, 108, 171, 194, 205, 253, 289, 306, 321, 388, 400, 480, 572, 603, 604, 651, 706, 710, 727, 799, 859, 931, 937, 940, 950, 997], [55, 105, 120, 281, 317, 320, 334, 428, 435, 437, 451, 541, 547, 586, 617, 634, 682, 730, 774, 823, 843, 926, 998], [60, 87, 99, 113, 118, 142, 145, 153, 346, 408, 418, 425, 456, 466, 486, 662, 669, 714, 718, 875, 988], [62, 67, 88, 133, 156, 162, 201, 234, 272, 278, 479, 542, 544, 562, 579, 689, 698, 735, 750, 766, 803, 860, 923, 951, 963], [63, 79, 174, 227, 238, 271, 307, 409, 511, 587, 611, 620, 624, 640, 746, 751, 851, 929, 941, 977], [65, 137, 161, 185, 244, 250, 296, 300, 339, 416, 429, 444, 446, 514, 654, 690, 712, 790, 904, 914, 943, 954, 956, 971], [72, 98, 130, 157, 274, 293, 344, 365, 443, 548, 567, 570, 609, 615, 664, 704, 716, 720, 768, 771, 806, 815, 821, 828, 830, 994], [78, 102, 135, 152, 158, 170, 218, 237, 265, 298, 332, 343, 366, 393, 488, 563, 607, 619, 762, 846, 867, 924], [81, 165, 166, 261, 288, 291, 326, 328, 382, 406, 438, 459, 501, 518, 535, 622, 655, 667, 675, 742, 747, 770, 787, 795, 804, 836, 870, 874, 882], [82, 232, 254, 256, 276, 295, 330, 397, 398, 441, 457, 510, 520, 574, 678, 691, 711, 728, 729, 736, 738, 876, 880, 884, 910, 946], [86, 95, 132, 134, 155, 202, 203, 204, 223, 450, 529, 552, 568, 591, 606, 608, 656, 660, 707, 807, 917, 989], [91, 97, 119, 143, 219, 228, 269, 359, 384, 472, 504, 506, 527, 546, 575, 631, 680, 692, 726, 740, 808, 812, 826, 847, 899, 958, 985], [180, 221, 226, 279, 304, 327, 372, 379, 423, 522, 524, 652, 686, 696, 717, 844, 852, 861, 911, 980]]\n",
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\n",
      "text/plain": [
       "<Figure size 576x576 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Non-zero values average: 0.275002\n",
      "---------------------------------------\n"
     ]
    }
   ],
   "source": [
    "ratio_A_asynfluid_a, avg_A_asynfluid_a = [], []\n",
    "for i in range(len(gs)):\n",
    "    com_asynfluid_a = get_comms(gs[i], \"nasynfluida\")\n",
    "    print(\"Number of communities in %s graph: %s\" % (gnames[i], len(com_asynfluid_a)))\n",
    "    print(\"Asynchronous Fluid (A) Communities:\")\n",
    "    print(sorted(com_asynfluid_a))\n",
    "    r_A_asynfluid_a = seq_match(com_A[i], com_asynfluid_a)\n",
    "    print(r_A_asynfluid_a)\n",
    "    ratio_A_asynfluid_a.append(r_A_asynfluid_a)\n",
    "    plt.figure(figsize=(8,8))\n",
    "    plt.imshow(r_A_asynfluid_a, cmap=plt.cm.Purples, interpolation='nearest')\n",
    "    plt.show()\n",
    "    a_A_asynfluid_a = nonzeroavg(r_A_asynfluid_a)\n",
    "    print(\"Non-zero values average: %f\" % a_A_asynfluid_a)\n",
    "    avg_A_asynfluid_a.append(a_A_asynfluid_a)\n",
    "    print(sprtr)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "graph: test75\n",
      "Sequental matching ratio: 0.681818\n",
      "Index: 8 - 1\n",
      "[2, 3, 5, 8, 13, 15, 20, 28, 31, 39, 40, 41, 43, 45, 47, 51, 53, 57, 60, 62, 63, 64, 65, 67, 70, 75]\n",
      "[3, 8, 13, 15, 16, 17, 20, 43, 47, 51, 52, 57, 60, 62, 63, 64, 70, 75]\n",
      "----------------------\n",
      "Sequental matching ratio: 0.652174\n",
      "Index: 1 - 2\n",
      "[6, 11, 12, 16, 17, 19, 22, 23, 33, 37, 42, 44, 46, 50, 52, 56, 59, 61, 66, 68, 71]\n",
      "[1, 10, 11, 15, 16, 19, 23, 37, 42, 43, 44, 45, 46, 47, 50, 52, 55, 56, 57, 59, 61, 66, 70, 71, 75]\n",
      "----------------------\n",
      "Sequental matching ratio: 0.571429\n",
      "Index: 3 - 0\n",
      "[1, 4, 7, 9, 10, 14, 18, 21, 24, 25, 26, 27, 29, 30, 32, 34, 35, 36, 38, 48, 49, 54, 55, 58, 69, 72, 73, 74]\n",
      "[9, 10, 14, 23, 26, 29, 30, 38, 48, 58, 61, 69, 73, 74]\n",
      "----------------------\n",
      "Sequental matching ratio: 0.490566\n",
      "Index: 0 - 0\n",
      "[1, 4, 7, 9, 10, 14, 18, 21, 24, 25, 26, 27, 29, 30, 32, 34, 35, 36, 38, 48, 49, 54, 55, 58, 69, 72, 73, 74]\n",
      "[3, 4, 5, 6, 8, 12, 13, 17, 20, 26, 27, 29, 30, 31, 35, 36, 39, 40, 48, 49, 58, 62, 69, 72, 73]\n",
      "----------------------\n",
      "Sequental matching ratio: 0.452830\n",
      "Index: 2 - 0\n",
      "[1, 4, 7, 9, 10, 14, 18, 21, 24, 25, 26, 27, 29, 30, 32, 34, 35, 36, 38, 48, 49, 54, 55, 58, 69, 72, 73, 74]\n",
      "[2, 7, 9, 14, 18, 21, 22, 24, 25, 28, 32, 33, 34, 38, 41, 51, 53, 54, 60, 63, 64, 65, 67, 68, 74]\n",
      "----------------------\n",
      "graph: test100\n",
      "Sequental matching ratio: 0.705882\n",
      "Index: 0 - 1\n",
      "[6, 8, 10, 12, 13, 19, 22, 24, 29, 32, 33, 34, 38, 41, 45, 48, 56, 65, 70, 73, 79, 87, 88, 89, 97]\n",
      "[3, 4, 5, 8, 10, 12, 13, 18, 24, 26, 29, 32, 33, 34, 38, 41, 48, 70, 73, 75, 76, 83, 87, 88, 89, 97]\n",
      "----------------------\n",
      "Sequental matching ratio: 0.705882\n",
      "Index: 1 - 3\n",
      "[1, 2, 14, 15, 17, 21, 25, 27, 28, 39, 43, 44, 46, 50, 52, 57, 60, 62, 67, 75, 78, 81, 82, 99, 100]\n",
      "[1, 2, 6, 15, 17, 25, 27, 28, 39, 43, 44, 46, 50, 52, 54, 62, 63, 67, 72, 78, 80, 84, 86, 92, 99, 100]\n",
      "----------------------\n",
      "Sequental matching ratio: 0.686567\n",
      "Index: 8 - 2\n",
      "[5, 7, 11, 16, 18, 23, 30, 31, 35, 42, 54, 55, 58, 61, 63, 72, 77, 80, 83, 84, 85, 86, 90, 91, 92, 93]\n",
      "[3, 5, 7, 11, 12, 16, 20, 30, 31, 35, 37, 38, 42, 47, 48, 49, 55, 57, 58, 61, 62, 63, 64, 72, 74, 76, 77, 78, 80, 83, 84, 85, 86, 90, 91, 92, 93, 94, 97, 98, 100]\n",
      "----------------------\n",
      "Sequental matching ratio: 0.666667\n",
      "Index: 3 - 0\n",
      "[3, 4, 9, 20, 26, 36, 37, 40, 47, 49, 51, 53, 59, 64, 66, 68, 69, 71, 74, 76, 94, 95, 96, 98]\n",
      "[9, 20, 21, 22, 35, 36, 40, 47, 49, 51, 53, 55, 56, 60, 64, 69, 71, 74, 82, 85, 94, 95, 96, 98]\n",
      "----------------------\n",
      "Sequental matching ratio: 0.529412\n",
      "Index: 10 - 3\n",
      "[1, 2, 14, 15, 17, 21, 25, 27, 28, 39, 43, 44, 46, 50, 52, 57, 60, 62, 67, 75, 78, 81, 82, 99, 100]\n",
      "[2, 14, 21, 28, 50, 52, 60, 75, 81]\n",
      "----------------------\n",
      "Sequental matching ratio: 0.520000\n",
      "Index: 2 - 2\n",
      "[5, 7, 11, 16, 18, 23, 30, 31, 35, 42, 54, 55, 58, 61, 63, 72, 77, 80, 83, 84, 85, 86, 90, 91, 92, 93]\n",
      "[7, 11, 14, 16, 19, 23, 30, 31, 37, 42, 45, 57, 58, 59, 61, 65, 66, 68, 77, 79, 81, 90, 91, 93]\n",
      "----------------------\n",
      "Sequental matching ratio: 0.437500\n",
      "Index: 9 - 1\n",
      "[6, 8, 10, 12, 13, 19, 22, 24, 29, 32, 33, 34, 38, 41, 45, 48, 56, 65, 70, 73, 79, 87, 88, 89, 97]\n",
      "[6, 10, 13, 24, 45, 56, 70]\n",
      "----------------------\n",
      "graph: test400\n",
      "Sequental matching ratio: 1.000000\n",
      "Index: 0 - 10\n",
      "[51, 100, 131, 149, 209, 212, 221, 222, 236, 266, 274, 278, 293, 294, 295, 296, 297, 315, 317, 319, 324, 330, 331, 332, 334, 343, 356, 364]\n",
      "[51, 100, 131, 149, 209, 212, 221, 222, 236, 266, 274, 278, 293, 294, 295, 296, 297, 315, 317, 319, 324, 330, 331, 332, 334, 343, 356, 364]\n",
      "----------------------\n",
      "Sequental matching ratio: 1.000000\n",
      "Index: 4 - 11\n",
      "[14, 26, 39, 40, 53, 66, 89, 125, 144, 148, 175, 184, 186, 189, 191, 192, 206, 207, 224, 226, 228, 247, 269, 270, 284, 309]\n",
      "[14, 26, 39, 40, 53, 66, 89, 125, 144, 148, 175, 184, 186, 189, 191, 192, 206, 207, 224, 226, 228, 247, 269, 270, 284, 309]\n",
      "----------------------\n",
      "Sequental matching ratio: 1.000000\n",
      "Index: 5 - 1\n",
      "[20, 56, 116, 124, 143, 146, 155, 158, 182, 204, 210, 227, 230, 235, 238, 239, 240, 259, 279, 280, 285, 287, 288, 291, 306, 314, 316]\n",
      "[20, 56, 116, 124, 143, 146, 155, 158, 182, 204, 210, 227, 230, 235, 238, 239, 240, 259, 279, 280, 285, 287, 288, 291, 306, 314, 316]\n",
      "----------------------\n",
      "Sequental matching ratio: 1.000000\n",
      "Index: 6 - 13\n",
      "[15, 18, 59, 71, 73, 91, 112, 126, 129, 138, 151, 153, 157, 161, 169, 172, 176, 177, 179, 183, 188, 211, 218, 219]\n",
      "[15, 18, 59, 71, 73, 91, 112, 126, 129, 138, 151, 153, 157, 161, 169, 172, 176, 177, 179, 183, 188, 211, 218, 219]\n",
      "----------------------\n",
      "Sequental matching ratio: 1.000000\n",
      "Index: 7 - 9\n",
      "[2, 8, 32, 62, 92, 121, 122, 127, 139, 140, 152, 214, 216, 243, 245, 248, 261, 267, 281, 289, 290, 298, 300, 303, 308, 312, 327]\n",
      "[2, 8, 32, 62, 92, 121, 122, 127, 139, 140, 152, 214, 216, 243, 245, 248, 261, 267, 281, 289, 290, 298, 300, 303, 308, 312, 327]\n",
      "----------------------\n",
      "Sequental matching ratio: 1.000000\n",
      "Index: 8 - 12\n",
      "[17, 60, 120, 147, 159, 213, 223, 229, 246, 253, 254, 257, 268, 276, 277, 282, 286, 305, 321, 322, 325, 337, 348, 350, 358, 359, 360, 370]\n",
      "[17, 60, 120, 147, 159, 213, 223, 229, 246, 253, 254, 257, 268, 276, 277, 282, 286, 305, 321, 322, 325, 337, 348, 350, 358, 359, 360, 370]\n",
      "----------------------\n",
      "Sequental matching ratio: 1.000000\n",
      "Index: 12 - 4\n",
      "[10, 16, 19, 36, 41, 46, 55, 57, 63, 67, 70, 79, 101, 128, 130, 141, 142, 154, 156, 163, 165, 185, 195]\n",
      "[10, 16, 19, 36, 41, 46, 55, 57, 63, 67, 70, 79, 101, 128, 130, 141, 142, 154, 156, 163, 165, 185, 195]\n",
      "----------------------\n",
      "Sequental matching ratio: 1.000000\n",
      "Index: 13 - 2\n",
      "[7, 12, 13, 29, 47, 48, 52, 75, 104, 107, 110, 111, 132, 160, 166, 173, 174, 180, 190, 201, 208, 217, 231, 271, 275]\n",
      "[7, 12, 13, 29, 47, 48, 52, 75, 104, 107, 110, 111, 132, 160, 166, 173, 174, 180, 190, 201, 208, 217, 231, 271, 275]\n",
      "----------------------\n",
      "Sequental matching ratio: 1.000000\n",
      "Index: 14 - 5\n",
      "[23, 85, 123, 137, 150, 187, 199, 200, 237, 244, 250, 251, 260, 265, 301, 302, 307, 313, 323, 326, 333, 335, 342, 344, 345, 349, 367, 373]\n",
      "[23, 85, 123, 137, 150, 187, 199, 200, 237, 244, 250, 251, 260, 265, 301, 302, 307, 313, 323, 326, 333, 335, 342, 344, 345, 349, 367, 373]\n",
      "----------------------\n",
      "Sequental matching ratio: 0.773585\n",
      "Index: 9 - 7\n",
      "[11, 33, 61, 72, 86, 87, 96, 102, 115, 118, 119, 136, 164, 167, 170, 171, 178, 181, 193, 194, 197, 198, 203, 220, 346, 347, 351, 352, 355, 357, 361, 362, 363, 365, 368, 369, 371, 372, 374, 375, 376, 377, 378, 379, 380, 381, 382, 383, 384, 385, 386, 387, 388, 389, 390, 391, 392, 393, 394, 395, 396, 397, 398, 399, 400]\n",
      "[346, 347, 351, 352, 355, 357, 361, 362, 363, 365, 368, 369, 371, 372, 374, 375, 376, 377, 378, 379, 380, 381, 382, 383, 384, 385, 386, 387, 388, 389, 390, 391, 392, 393, 394, 395, 396, 397, 398, 399, 400]\n",
      "----------------------\n",
      "Sequental matching ratio: 0.772727\n",
      "Index: 1 - 6\n",
      "[31, 64, 98, 114, 134, 135, 202, 225, 232, 233, 242, 249, 258, 272, 273, 292, 310]\n",
      "[25, 31, 34, 64, 82, 83, 98, 114, 117, 134, 135, 202, 225, 232, 233, 234, 242, 249, 256, 258, 264, 272, 273, 292, 299, 304, 310]\n",
      "----------------------\n",
      "Sequental matching ratio: 0.755556\n",
      "Index: 3 - 14\n",
      "[84, 106, 109, 168, 196, 215, 252, 255, 318, 320, 328, 336, 339, 340, 341, 353, 366]\n",
      "[3, 49, 84, 106, 109, 168, 196, 205, 215, 241, 252, 255, 262, 263, 283, 311, 318, 320, 328, 329, 336, 338, 339, 340, 341, 353, 354, 366]\n",
      "----------------------\n",
      "Sequental matching ratio: 0.666667\n",
      "Index: 10 - 8\n",
      "[1, 4, 5, 6, 9, 21, 22, 24, 27, 28, 30, 35, 37, 38, 42, 43, 44, 45, 50, 54, 58, 65, 68, 69, 74, 76, 77, 78, 80, 81, 88, 90, 93, 94, 95, 97, 99, 103, 105, 108, 113, 133, 145, 162]\n",
      "[5, 9, 27, 30, 37, 45, 50, 54, 58, 65, 69, 74, 76, 77, 80, 81, 90, 97, 99, 103, 133, 162]\n",
      "----------------------\n",
      "Sequental matching ratio: 0.666667\n",
      "Index: 11 - 8\n",
      "[1, 4, 5, 6, 9, 21, 22, 24, 27, 28, 30, 35, 37, 38, 42, 43, 44, 45, 50, 54, 58, 65, 68, 69, 74, 76, 77, 78, 80, 81, 88, 90, 93, 94, 95, 97, 99, 103, 105, 108, 113, 133, 145, 162]\n",
      "[1, 4, 6, 21, 22, 24, 28, 35, 38, 42, 43, 44, 68, 78, 88, 93, 94, 95, 105, 108, 113, 145]\n",
      "----------------------\n",
      "Sequental matching ratio: 0.564103\n",
      "Index: 3 - 3\n",
      "[3, 49, 205, 241, 262, 263, 283, 311, 329, 338, 354]\n",
      "[3, 49, 84, 106, 109, 168, 196, 205, 215, 241, 252, 255, 262, 263, 283, 311, 318, 320, 328, 329, 336, 338, 339, 340, 341, 353, 354, 366]\n",
      "----------------------\n",
      "Sequental matching ratio: 0.540541\n",
      "Index: 1 - 0\n",
      "[25, 34, 82, 83, 117, 234, 256, 264, 299, 304]\n",
      "[25, 31, 34, 64, 82, 83, 98, 114, 117, 134, 135, 202, 225, 232, 233, 234, 242, 249, 256, 258, 264, 272, 273, 292, 299, 304, 310]\n",
      "----------------------\n",
      "Sequental matching ratio: 0.539326\n",
      "Index: 2 - 7\n",
      "[11, 33, 61, 72, 86, 87, 96, 102, 115, 118, 119, 136, 164, 167, 170, 171, 178, 181, 193, 194, 197, 198, 203, 220, 346, 347, 351, 352, 355, 357, 361, 362, 363, 365, 368, 369, 371, 372, 374, 375, 376, 377, 378, 379, 380, 381, 382, 383, 384, 385, 386, 387, 388, 389, 390, 391, 392, 393, 394, 395, 396, 397, 398, 399, 400]\n",
      "[11, 33, 61, 72, 86, 87, 96, 102, 115, 118, 119, 136, 164, 167, 170, 171, 178, 181, 193, 194, 197, 198, 203, 220]\n",
      "----------------------\n",
      "graph: test1000\n",
      "Sequental matching ratio: 0.947368\n",
      "Index: 12 - 4\n",
      "[43, 47, 103, 129, 164, 189, 195, 236, 247, 301, 315, 363, 386, 390, 413, 433, 471, 491, 517, 532, 555, 560, 566, 589, 630, 824, 916, 925, 932, 972]\n",
      "[43, 47, 103, 129, 164, 189, 236, 247, 301, 315, 363, 386, 390, 413, 433, 471, 491, 517, 532, 555, 560, 566, 824, 916, 925, 932, 972]\n",
      "----------------------\n",
      "Sequental matching ratio: 0.943396\n",
      "Index: 13 - 18\n",
      "[28, 107, 116, 177, 181, 231, 235, 241, 374, 381, 404, 422, 469, 507, 556, 592, 632, 636, 732, 760, 814, 818, 834, 845, 850, 890, 912, 974]\n",
      "[28, 107, 116, 181, 231, 235, 241, 374, 381, 404, 422, 469, 507, 556, 592, 732, 760, 814, 818, 834, 845, 850, 890, 912, 974]\n",
      "----------------------\n",
      "Sequental matching ratio: 0.900000\n",
      "Index: 27 - 37\n",
      "[36, 42, 104, 138, 146, 160, 240, 249, 257, 322, 323, 349, 360, 405, 462, 483, 484, 508, 534, 597, 638, 676, 687, 694, 702, 719, 829, 831, 886, 901, 906, 918, 993]\n",
      "[36, 42, 104, 138, 146, 160, 249, 323, 349, 405, 462, 483, 484, 508, 534, 597, 638, 676, 694, 719, 829, 831, 886, 901, 906, 918, 993]\n",
      "----------------------\n",
      "Sequental matching ratio: 0.862069\n",
      "Index: 3 - 19\n",
      "[81, 165, 166, 261, 288, 291, 326, 328, 382, 406, 438, 459, 501, 518, 535, 622, 655, 667, 675, 742, 747, 770, 787, 795, 804, 836, 870, 874, 882]\n",
      "[81, 158, 165, 166, 261, 277, 291, 326, 328, 343, 393, 406, 438, 459, 501, 535, 622, 655, 667, 675, 742, 747, 770, 787, 804, 836, 870, 874, 882]\n",
      "----------------------\n",
      "Sequental matching ratio: 0.827586\n",
      "Index: 5 - 33\n",
      "[1, 109, 117, 151, 183, 233, 308, 455, 482, 492, 578, 593, 621, 657, 699, 733, 756, 761, 764, 820, 833, 842, 865, 869, 896, 902, 909, 919, 968, 991]\n",
      "[1, 117, 151, 183, 217, 233, 280, 282, 308, 439, 455, 578, 621, 657, 699, 733, 756, 761, 764, 842, 865, 869, 896, 902, 909, 919, 968, 991]\n",
      "----------------------\n",
      "Sequental matching ratio: 0.821429\n",
      "Index: 29 - 13\n",
      "[41, 44, 54, 182, 199, 311, 312, 370, 376, 378, 410, 411, 431, 453, 454, 464, 476, 553, 616, 653, 725, 739, 752, 813, 854, 866, 872, 891, 898, 903, 908]\n",
      "[41, 44, 182, 199, 311, 312, 410, 411, 425, 431, 453, 454, 464, 476, 616, 669, 725, 739, 752, 813, 866, 872, 891, 898, 903]\n",
      "----------------------\n",
      "Sequental matching ratio: 0.716981\n",
      "Index: 7 - 17\n",
      "[2, 19, 24, 168, 209, 243, 245, 263, 387, 395, 473, 513, 523, 526, 565, 590, 625, 757, 759, 763, 773, 777, 778, 783, 809, 811, 822, 871, 893, 939, 979, 982]\n",
      "[2, 24, 26, 64, 168, 209, 263, 387, 395, 523, 526, 590, 757, 759, 773, 777, 778, 811, 871, 893, 982]\n",
      "----------------------\n",
      "Sequental matching ratio: 0.711864\n",
      "Index: 28 - 21\n",
      "[8, 12, 13, 173, 175, 208, 266, 290, 350, 391, 407, 415, 424, 449, 499, 500, 558, 600, 635, 641, 646, 743, 772, 780, 839, 849, 883, 927, 933, 935, 967, 984, 995]\n",
      "[8, 12, 13, 89, 98, 175, 271, 284, 290, 350, 391, 449, 499, 500, 558, 637, 641, 743, 780, 839, 883, 927, 933, 935, 967, 984]\n",
      "----------------------\n",
      "Sequental matching ratio: 0.708333\n",
      "Index: 22 - 36\n",
      "[50, 76, 214, 246, 283, 354, 377, 402, 419, 426, 519, 561, 585, 614, 758, 767, 788, 789, 797, 810, 856, 915, 928, 936, 964, 965, 990]\n",
      "[50, 212, 283, 354, 419, 426, 465, 561, 585, 639, 737, 788, 789, 797, 810, 915, 928, 936, 964, 965, 990]\n",
      "----------------------\n",
      "Sequental matching ratio: 0.695652\n",
      "Index: 2 - 2\n",
      "[62, 67, 88, 133, 156, 162, 201, 234, 272, 278, 479, 542, 544, 562, 579, 689, 698, 735, 750, 766, 803, 860, 923, 951, 963]\n",
      "[79, 88, 156, 162, 201, 227, 234, 278, 479, 542, 611, 689, 698, 735, 751, 766, 803, 860, 923, 941, 951]\n",
      "----------------------\n",
      "Sequental matching ratio: 0.689655\n",
      "Index: 37 - 26\n",
      "[5, 27, 33, 93, 126, 163, 193, 220, 224, 258, 270, 275, 309, 319, 361, 380, 467, 502, 509, 512, 531, 588, 610, 647, 650, 659, 683, 700, 779, 782, 801, 819, 862, 897, 969, 976, 992, 996]\n",
      "[33, 126, 163, 193, 220, 258, 275, 509, 512, 531, 610, 647, 650, 659, 700, 782, 801, 819, 897, 996]\n",
      "----------------------\n",
      "Sequental matching ratio: 0.680851\n",
      "Index: 26 - 27\n",
      "[35, 121, 139, 316, 325, 345, 352, 389, 403, 420, 458, 460, 485, 493, 564, 571, 577, 643, 684, 754, 786, 832, 857, 878, 942, 970, 981]\n",
      "[35, 121, 186, 251, 316, 325, 352, 403, 420, 458, 485, 503, 571, 577, 607, 643, 684, 754, 942, 981]\n",
      "----------------------\n",
      "Sequental matching ratio: 0.666667\n",
      "Index: 14 - 15\n",
      "[52, 83, 100, 108, 171, 194, 205, 253, 289, 306, 321, 388, 400, 480, 572, 603, 604, 651, 706, 710, 727, 799, 859, 931, 937, 940, 950, 997]\n",
      "[46, 52, 76, 83, 108, 171, 306, 321, 388, 400, 402, 428, 572, 603, 626, 710, 727, 799, 843, 856, 859, 931, 937, 940, 950, 978]\n",
      "----------------------\n",
      "Sequental matching ratio: 0.615385\n",
      "Index: 17 - 29\n",
      "[91, 97, 119, 143, 219, 228, 269, 359, 384, 472, 504, 506, 527, 546, 575, 631, 680, 692, 726, 740, 808, 812, 826, 847, 899, 958, 985]\n",
      "[61, 71, 91, 97, 119, 122, 125, 143, 229, 359, 384, 477, 506, 625, 631, 680, 692, 703, 808, 812, 826, 847, 894, 958, 985]\n",
      "----------------------\n",
      "Sequental matching ratio: 0.600000\n",
      "Index: 0 - 1\n",
      "[30, 32, 53, 74, 128, 169, 212, 225, 242, 264, 292, 335, 383, 434, 445, 465, 613, 628, 639, 775, 794, 816, 873, 966]\n",
      "[25, 30, 53, 74, 128, 148, 176, 191, 273, 285, 292, 335, 383, 412, 434, 445, 549, 551, 613, 628, 693, 775, 794, 816, 840, 966]\n",
      "----------------------\n",
      "Sequental matching ratio: 0.553191\n",
      "Index: 6 - 3\n",
      "[48, 58, 141, 192, 222, 287, 336, 375, 463, 475, 489, 533, 554, 581, 665, 668, 697, 709, 715, 724, 748, 791, 848, 913, 959]\n",
      "[55, 58, 92, 210, 336, 342, 463, 489, 533, 536, 570, 581, 615, 665, 668, 724, 748, 791, 806, 848, 913, 945]\n",
      "----------------------\n",
      "Sequental matching ratio: 0.549020\n",
      "Index: 31 - 0\n",
      "[78, 102, 135, 152, 158, 170, 218, 237, 265, 298, 332, 343, 366, 393, 488, 563, 607, 619, 762, 846, 867, 924]\n",
      "[9, 78, 102, 135, 170, 237, 239, 265, 274, 293, 298, 332, 432, 461, 470, 478, 488, 496, 563, 567, 609, 762, 821, 828, 846, 855, 867, 924, 994]\n",
      "----------------------\n",
      "Sequental matching ratio: 0.526316\n",
      "Index: 21 - 12\n",
      "[4, 11, 23, 37, 45, 49, 110, 154, 200, 297, 305, 337, 351, 367, 414, 417, 447, 468, 497, 528, 602, 627, 671, 796, 953, 975, 986]\n",
      "[23, 45, 62, 110, 200, 254, 256, 276, 297, 330, 337, 351, 367, 417, 441, 447, 510, 520, 528, 574, 602, 678, 728, 729, 736, 796, 876, 884, 953, 986]\n",
      "----------------------\n",
      "Sequental matching ratio: 0.500000\n",
      "Index: 21 - 35\n",
      "[82, 232, 254, 256, 276, 295, 330, 397, 398, 441, 457, 510, 520, 574, 678, 691, 711, 728, 729, 736, 738, 876, 880, 884, 910, 946]\n",
      "[23, 45, 62, 110, 200, 254, 256, 276, 297, 330, 337, 351, 367, 417, 441, 447, 510, 520, 528, 574, 602, 678, 728, 729, 736, 796, 876, 884, 953, 986]\n",
      "----------------------\n",
      "Sequental matching ratio: 0.472727\n",
      "Index: 34 - 32\n",
      "[21, 34, 75, 106, 213, 324, 356, 421, 448, 530, 537, 540, 545, 576, 599, 644, 649, 658, 685, 695, 753, 853, 877, 892, 907]\n",
      "[34, 51, 65, 75, 114, 153, 187, 196, 213, 269, 339, 365, 530, 537, 575, 576, 599, 644, 649, 658, 695, 720, 726, 740, 771, 853, 877, 899, 970, 971]\n",
      "----------------------\n",
      "Sequental matching ratio: 0.434783\n",
      "Index: 36 - 8\n",
      "[86, 95, 132, 134, 155, 202, 203, 204, 223, 450, 529, 552, 568, 591, 606, 608, 656, 660, 707, 807, 917, 989]\n",
      "[17, 18, 40, 84, 202, 203, 299, 313, 331, 385, 442, 474, 529, 552, 568, 591, 606, 656, 670, 755, 917, 920, 973, 989]\n",
      "----------------------\n",
      "Sequental matching ratio: 0.423077\n",
      "Index: 4 - 23\n",
      "[55, 105, 120, 281, 317, 320, 334, 428, 435, 437, 451, 541, 547, 586, 617, 634, 682, 730, 774, 823, 843, 926, 998]\n",
      "[37, 49, 57, 86, 105, 120, 198, 281, 317, 468, 497, 521, 538, 541, 547, 557, 584, 586, 605, 608, 617, 671, 707, 730, 744, 774, 807, 975, 998]\n",
      "----------------------\n",
      "Sequental matching ratio: 0.415094\n",
      "Index: 20 - 9\n",
      "[38, 59, 147, 149, 197, 207, 294, 302, 310, 329, 333, 340, 392, 430, 440, 582, 663, 674, 769, 889, 905, 922, 948, 955, 983, 987]\n",
      "[67, 85, 195, 206, 302, 310, 340, 346, 348, 399, 407, 430, 440, 494, 543, 582, 600, 630, 635, 674, 705, 721, 769, 911, 922, 948, 987]\n",
      "----------------------\n"
     ]
    }
   ],
   "source": [
    "limiter = 0.4\n",
    "for i in range(len(gs)):\n",
    "    print(\"graph: %s\" % gnames[i])\n",
    "    getHighestRatios(ratio_A_asynfluid_a[i], 25, com_A[i], get_comms(gs[i], \"nasynfluida\"), limiter)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Number of communities in test75 graph: 8\n",
      "Asynchronous Fluid (B) Communities:\n",
      "[[1, 10, 42, 43, 55, 59, 67], [2, 4, 5, 37, 39, 44, 46, 65, 66], [3, 13, 16, 20, 45, 47, 51, 52, 57, 70, 75], [6, 11, 17, 19, 27, 62], [7, 12, 22, 25, 32, 50, 71, 72], [8, 15, 18, 21, 28, 31, 34, 36, 40, 49, 60, 64], [9, 23, 24, 33, 41, 53, 54, 56, 63, 68], [14, 26, 29, 30, 35, 38, 48, 58, 61, 69, 73, 74]]\n",
      "[[0.43243243243243246, 0.0, 0.12121212121212122, 0.25806451612903225, 0.2702702702702703, 0.16666666666666666, 0.0, 0.17647058823529413], [0.05405405405405406, 0.11428571428571428, 0.12121212121212122, 0.12903225806451613, 0.05405405405405406, 0.3888888888888889, 0.375, 0.23529411764705882], [0.16216216216216217, 0.45714285714285713, 0.24242424242424243, 0.0, 0.32432432432432434, 0.05555555555555555, 0.0625, 0.11764705882352941], [0.8461538461538461, 0.16666666666666666, 0.0, 0.0, 0.0, 0.0, 0.09523809523809523, 0.0], [0.0, 0.2222222222222222, 0.0, 0.14285714285714285, 0.2, 0.0, 0.4, 0.0], [0.0, 0.2222222222222222, 0.0, 0.14285714285714285, 0.0, 0.0, 0.0, 0.5882352941176471], [0.0, 0.0, 0.0, 0.36363636363636365, 0.0, 0.0, 0.0, 0.42857142857142855], [0.0, 0.11764705882352941, 0.0, 0.0, 0.5263157894736842, 0.1111111111111111, 0.0, 0.0], [0.0, 0.07142857142857142, 0.0, 0.16666666666666666, 0.26666666666666666, 0.6896551724137931, 0.08, 0.0], [0.0, 0.1, 0.8888888888888888, 0.0, 0.0, 0.0, 0.0, 0.10526315789473684], [0.11764705882352941, 0.13333333333333333, 0.0, 0.0, 0.11764705882352941, 0.0, 0.3333333333333333, 0.0]]\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 576x576 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Non-zero values average: 0.320840\n",
      "---------------------------------------\n",
      "Number of communities in test100 graph: 12\n",
      "Asynchronous Fluid (B) Communities:\n",
      "[[1, 25, 27, 39, 44, 54, 92, 99, 100], [2, 14, 21, 28, 37, 50, 52, 60, 75, 81], [3, 18, 20, 35, 47, 49, 76, 83, 98], [4, 17, 59, 65, 66, 73, 87, 89, 95, 96], [5, 8, 22, 31, 34, 41, 72, 78, 86, 97], [6, 10, 13, 33, 56, 67, 70, 88], [7, 16, 48, 57, 58, 61, 63, 74, 77, 80, 90], [9, 26, 29, 40, 43], [11, 30, 38, 55, 62, 64, 84, 85, 93, 94], [12, 24, 42, 45, 91], [15, 19, 23, 46, 79, 82], [32, 36, 51, 53, 68, 69, 71]]\n",
      "[[0.06060606060606061, 0.05405405405405406, 0.12903225806451613, 0.12903225806451613, 0.05555555555555555, 0.2222222222222222, 0.29411764705882354, 0.2777777777777778, 0.0, 0.0, 0.05555555555555555, 0.22857142857142856], [0.0, 0.10810810810810811, 0.06451612903225806, 0.0, 0.2222222222222222, 0.05555555555555555, 0.11764705882352941, 0.16666666666666666, 0.5142857142857142, 0.125, 0.1111111111111111, 0.0], [0.06451612903225806, 0.4, 0.0, 0.20689655172413793, 0.17647058823529413, 0.17647058823529413, 0.0, 0.058823529411764705, 0.0, 0.2, 0.17647058823529413, 0.0], [0.3225806451612903, 0.05714285714285714, 0.13793103448275862, 0.0, 0.11764705882352941, 0.11764705882352941, 0.0625, 0.058823529411764705, 0.0, 0.06666666666666667, 0.23529411764705882, 0.30303030303030304], [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.5333333333333333, 0.0, 0.18181818181818182, 0.0, 0.0], [0.0, 0.0, 0.0, 0.0, 0.0, 0.6451612903225806, 0.20689655172413793, 0.0, 0.13333333333333333, 0.37037037037037035, 0.0, 0.06666666666666667], [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.7142857142857143, 0.0, 0.0, 0.0], [1.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], [0.0, 0.4230769230769231, 0.0, 0.13043478260869565, 0.0392156862745098, 0.0, 0.0, 0.23529411764705882, 0.08, 0.0, 0.39215686274509803, 0.32], [0.0, 0.0, 0.0, 0.3333333333333333, 0.0, 0.0, 0.6666666666666666, 0.0, 0.0, 0.0, 0.0, 0.0], [0.0, 0.0, 0.0, 0.0, 0.9473684210526315, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], [0.0, 0.0, 1.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0]]\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 576x576 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Non-zero values average: 0.452680\n",
      "---------------------------------------\n",
      "Number of communities in test400 graph: 48\n",
      "Asynchronous Fluid (B) Communities:\n",
      "[[1, 4, 6, 21, 22, 24, 28, 38, 42, 43, 44, 68, 78, 88, 93, 94, 95, 105, 108, 113, 145], [2, 127, 140, 243, 308], [3, 49, 109, 196, 252, 255, 262, 263, 283, 320, 328, 329, 341, 354], [5, 9, 30, 45, 80], [7, 47, 75, 166, 180, 208], [8, 121, 245, 248, 261, 267, 281, 289, 298, 327], [10, 36, 79, 163, 185], [11, 61, 118, 178, 181, 193, 203], [12, 48, 160, 275], [13, 29, 174, 190, 217], [14, 40, 53, 125, 148, 175, 186, 206, 207, 224, 247, 269, 270, 309], [15, 18, 59, 126, 138, 151, 161, 169, 176, 183, 218], [16, 46, 55, 70, 130, 156], [17, 147, 253, 268, 276, 277, 325, 337, 350], [19, 101, 128, 141, 142, 154, 165], [20, 116, 124, 143, 158, 182, 210, 227, 230, 238, 288, 306, 314, 316], [23, 137, 150, 187, 244, 301, 326, 333, 344, 367], [25, 34, 82, 83, 234, 249, 304, 310], [26, 66, 89, 144, 184, 189, 191, 192, 226, 228, 284], [27, 58, 65, 81, 90, 97, 99, 162], [31, 114, 202, 225, 233, 242, 256, 258, 264, 272, 292], [32, 122, 152, 290], [33, 86, 102, 115, 167, 170, 194, 220], [35, 305, 332], [37, 50, 54, 69, 74, 76, 77, 103, 133], [39, 313, 321], [41, 57, 63, 67, 195], [51, 100, 131, 236, 274, 278, 294, 315, 317, 319, 331, 334, 364], [52, 361, 378], [56, 146, 155, 204, 235, 239, 240, 259, 279, 280, 285, 287, 291], [60, 159, 223, 322, 348], [62, 92, 139, 214, 216, 300, 303, 312], [64, 98, 117, 134, 135, 232, 273, 299], [71, 73, 91, 129, 153, 157, 172, 177, 179, 188, 211, 219], [72, 87, 96, 119, 136, 164, 171, 197, 198], [84, 106, 205, 215, 241, 311, 318, 336, 338, 339, 340, 353], [85, 199, 200, 237, 260, 302, 342, 349], [104, 107, 110, 111, 132, 173, 231, 271], [112, 395], [120, 213, 229, 246, 254, 257, 282, 286, 358, 359, 360, 370], [123, 250, 251, 265, 307, 323, 335, 345], [149, 209, 212, 221, 222, 266, 293, 295, 296, 297, 324, 330, 343, 356], [168, 366, 391], [201, 373], [346, 351, 368, 372, 377, 381, 384, 393, 394, 397], [347, 357, 382, 383, 386, 387, 390, 396, 399, 400], [352, 365, 369, 371, 374, 376, 380, 385, 389, 398], [355, 362, 363, 375, 379, 388, 392]]\n",
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\n",
      "text/plain": [
       "<Figure size 576x576 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Non-zero values average: 0.230121\n",
      "---------------------------------------\n",
      "Number of communities in test1000 graph: 3\n",
      "Asynchronous Fluid (B) Communities:\n",
      "[[1, 5, 8, 12, 13, 22, 26, 27, 35, 41, 44, 46, 47, 48, 50, 53, 54, 57, 66, 67, 69, 76, 82, 84, 85, 87, 89, 90, 93, 96, 98, 109, 113, 117, 121, 122, 123, 125, 126, 127, 128, 130, 131, 134, 135, 142, 145, 146, 151, 154, 164, 165, 168, 170, 171, 172, 174, 175, 180, 181, 182, 186, 189, 194, 195, 197, 198, 199, 202, 206, 207, 212, 214, 225, 230, 232, 237, 239, 241, 243, 245, 247, 250, 252, 259, 260, 264, 265, 268, 270, 271, 274, 275, 280, 282, 283, 284, 289, 290, 293, 295, 302, 306, 308, 309, 311, 312, 314, 319, 321, 325, 329, 332, 335, 341, 345, 346, 348, 350, 354, 358, 361, 362, 363, 368, 370, 373, 376, 378, 380, 381, 383, 386, 389, 390, 391, 396, 398, 399, 401, 402, 410, 411, 416, 419, 420, 425, 426, 431, 432, 433, 434, 436, 439, 440, 443, 449, 450, 453, 454, 456, 457, 458, 460, 461, 464, 465, 467, 470, 471, 476, 478, 480, 481, 485, 487, 491, 493, 495, 496, 499, 500, 502, 515, 517, 531, 543, 549, 551, 553, 555, 558, 560, 561, 563, 564, 566, 567, 571, 572, 573, 574, 577, 578, 580, 583, 585, 592, 603, 604, 609, 613, 616, 623, 625, 626, 630, 633, 637, 639, 641, 651, 653, 657, 664, 669, 677, 683, 684, 693, 699, 706, 712, 714, 718, 721, 725, 727, 728, 732, 734, 737, 739, 743, 752, 754, 761, 763, 765, 767, 768, 779, 780, 781, 783, 786, 788, 789, 792, 793, 797, 809, 810, 813, 815, 817, 818, 821, 824, 828, 830, 832, 833, 838, 839, 843, 846, 855, 856, 857, 858, 859, 862, 866, 871, 872, 880, 883, 887, 891, 898, 900, 903, 904, 909, 911, 912, 915, 916, 919, 924, 925, 926, 927, 928, 931, 932, 933, 935, 936, 937, 940, 942, 944, 946, 949, 956, 963, 964, 965, 966, 967, 969, 972, 974, 976, 978, 981, 984, 990, 992, 994, 997], [2, 9, 16, 19, 24, 28, 30, 32, 33, 36, 37, 42, 43, 49, 55, 58, 59, 62, 64, 68, 73, 78, 79, 83, 86, 88, 92, 94, 95, 97, 99, 100, 101, 102, 103, 104, 105, 106, 107, 108, 112, 115, 116, 120, 124, 129, 132, 133, 136, 137, 138, 139, 140, 141, 148, 149, 152, 155, 156, 160, 162, 163, 173, 179, 183, 185, 188, 191, 192, 193, 201, 204, 210, 211, 215, 216, 217, 220, 221, 222, 223, 224, 227, 231, 233, 234, 236, 246, 249, 251, 254, 255, 258, 262, 263, 272, 276, 278, 281, 286, 296, 297, 298, 301, 304, 315, 316, 317, 318, 320, 322, 323, 327, 330, 334, 336, 342, 349, 352, 360, 369, 371, 375, 387, 394, 395, 397, 400, 403, 404, 405, 407, 412, 413, 418, 428, 435, 445, 446, 455, 462, 463, 466, 468, 469, 473, 475, 479, 483, 484, 486, 489, 490, 492, 497, 503, 505, 507, 508, 509, 510, 512, 516, 521, 523, 526, 528, 532, 533, 534, 536, 538, 541, 542, 550, 554, 557, 559, 562, 565, 569, 570, 581, 584, 586, 588, 589, 590, 593, 594, 595, 597, 598, 600, 601, 605, 607, 610, 611, 615, 617, 618, 621, 624, 628, 629, 634, 635, 638, 642, 643, 646, 647, 648, 650, 659, 660, 662, 663, 665, 668, 671, 672, 673, 676, 687, 689, 694, 696, 697, 698, 700, 705, 707, 708, 709, 710, 711, 715, 716, 717, 719, 722, 724, 730, 731, 733, 735, 736, 741, 742, 744, 745, 748, 749, 751, 756, 757, 758, 759, 762, 764, 766, 773, 774, 777, 782, 791, 794, 799, 800, 801, 802, 803, 806, 807, 811, 819, 820, 822, 823, 829, 831, 837, 840, 842, 844, 845, 848, 860, 864, 865, 869, 875, 876, 878, 885, 886, 888, 890, 893, 895, 896, 897, 901, 902, 905, 906, 910, 913, 918, 921, 923, 934, 939, 941, 943, 945, 950, 951, 959, 961, 962, 968, 975, 979, 980, 982, 991, 993, 996, 998, 999], [3, 4, 6, 7, 10, 11, 14, 15, 17, 18, 20, 21, 23, 25, 29, 31, 34, 38, 39, 40, 45, 51, 52, 56, 60, 61, 63, 65, 70, 71, 72, 74, 75, 77, 80, 81, 91, 110, 111, 114, 118, 119, 143, 144, 147, 150, 153, 157, 158, 159, 161, 166, 167, 169, 176, 177, 178, 184, 187, 190, 196, 200, 203, 205, 208, 209, 213, 218, 219, 226, 228, 229, 235, 238, 240, 242, 244, 248, 253, 256, 257, 261, 266, 267, 269, 273, 277, 279, 285, 287, 288, 291, 292, 294, 299, 300, 303, 305, 307, 310, 313, 324, 326, 328, 331, 333, 337, 338, 339, 340, 343, 344, 347, 351, 353, 355, 356, 357, 359, 364, 365, 366, 367, 372, 374, 377, 379, 382, 384, 385, 388, 392, 393, 406, 408, 409, 414, 415, 417, 421, 422, 423, 424, 427, 429, 430, 437, 438, 441, 442, 444, 447, 448, 451, 452, 459, 472, 474, 477, 482, 488, 494, 498, 501, 504, 506, 511, 513, 514, 518, 519, 520, 522, 524, 525, 527, 529, 530, 535, 537, 539, 540, 544, 545, 546, 547, 548, 552, 556, 568, 575, 576, 579, 582, 587, 591, 596, 599, 602, 606, 608, 612, 614, 619, 620, 622, 627, 631, 632, 636, 640, 644, 645, 649, 652, 654, 655, 656, 658, 661, 666, 667, 670, 674, 675, 678, 679, 680, 681, 682, 685, 686, 688, 690, 691, 692, 695, 701, 702, 703, 704, 713, 720, 723, 726, 729, 738, 740, 746, 747, 750, 753, 755, 760, 769, 770, 771, 772, 775, 776, 778, 784, 785, 787, 790, 795, 796, 798, 804, 805, 808, 812, 814, 816, 825, 826, 827, 834, 835, 836, 841, 847, 849, 850, 851, 852, 853, 854, 861, 863, 867, 868, 870, 873, 874, 877, 879, 881, 882, 884, 889, 892, 894, 899, 907, 908, 914, 917, 920, 922, 929, 930, 938, 947, 948, 952, 953, 954, 955, 957, 958, 960, 970, 971, 973, 977, 983, 985, 986, 987, 988, 989, 995, 1000]]\n",
      "[[0.044444444444444446, 0.055710306406685235, 0.04456824512534819], [0.06741573033707865, 0.056338028169014086, 0.0], [0.0, 0.0, 0.11864406779661017], [0.1487603305785124, 0.0055248618784530384, 0.0055248618784530384], [0.011019283746556474, 0.011049723756906077, 0.13812154696132597], [0.0, 0.07202216066481995, 0.08310249307479224], [0.0, 0.0, 0.12394366197183099], [0.011267605633802818, 0.01694915254237288, 0.0903954802259887], [0.15426997245179064, 0.0055248618784530384, 0.0], [0.10140845070422536, 0.005649717514124294, 0.011299435028248588], [0.060941828254847646, 0.022222222222222223, 0.06666666666666667], [0.0, 0.10674157303370786, 0.02247191011235955], [0.0, 0.10555555555555556, 0.044444444444444446], [0.04456824512534819, 0.0446927374301676, 0.05027932960893855], [0.011111111111111112, 0.0947075208913649, 0.03899721448467967], [0.03899721448467967, 0.1005586592178771, 0.0], [0.0, 0.16022099447513813, 0.0], [0.116991643454039, 0.01675977653631285, 0.00558659217877095], [0.0, 0.0, 0.1652892561983471], [0.08403361344537816, 0.016853932584269662, 0.028089887640449437], [0.055401662049861494, 0.07222222222222222, 0.022222222222222223], [0.1043956043956044, 0.011019283746556474, 0.049586776859504134], [0.0, 0.11864406779661017, 0.0], [0.0, 0.0, 0.1652892561983471], [0.043596730245231606, 0.13114754098360656, 0.00546448087431694], [0.06128133704735376, 0.027932960893854747, 0.05027932960893855], [0.0, 0.07365439093484419, 0.039660056657223795], [0.0, 0.005555555555555556, 0.14444444444444443], [0.0, 0.14484679665738162, 0.0], [0.0, 0.13966480446927373, 0.0], [0.11299435028248588, 0.0, 0.0], [0.011019283746556474, 0.12154696132596685, 0.027624309392265192], [0.12154696132596685, 0.0221606648199446, 0.0110803324099723], [0.12087912087912088, 0.03856749311294766, 0.005509641873278237], [0.16483516483516483, 0.0, 0.0], [0.038781163434903045, 0.016666666666666666, 0.09444444444444444], [0.12290502793296089, 0.011204481792717087, 0.0], [0.0, 0.0169971671388102, 0.09631728045325778], [0.0, 0.0056657223796034, 0.10764872521246459], [0.4123989218328841, 0.2834008097165992, 0.4048582995951417], [0.2974683544303797, 0.393026941362916, 0.25356576862123614], [0.2770700636942675, 0.3317384370015949, 0.32854864433811803]]\n"
     ]
    },
    {
     "data": {
      "image/png": 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6ENKSNAnA7qznuWZ8j8eEubxDiGZhYhEO10sBrM7x8mVhEfaXzOy09wKlNeJmZnzpWeHT7sysBsBzAO5w975z6+sATA2LsC8F8E8AM071eWn1pCYAU7Ke55rxPR5jZuUAzgBwYKA7CqvPPwfgcXd/vu/r7n7Y3VvD4xUAKszslGtgpyXpXQAzwj1NlYhOzMv7xCxHNBMMRDPDr/oAB3HhHPYwgC3ufn8/MWf2nuvMbC4iB/tP+cFpfLuFf+tSRN822wHcE7b9GsC14XEVgH8AaATwDoCzY+xjIaJDdCOilZ3Xh/3eCuDWEHMbgE2IvmHfBjD/dJ+rETeBRtwEkkQgSQSSRCBJBJJEIEkEkkTwf3+UYzaB6k3/AAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<Figure size 576x576 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Non-zero values average: 0.106569\n",
      "---------------------------------------\n"
     ]
    }
   ],
   "source": [
    "ratio_A_asynfluid_b, avg_A_asynfluid_b = [], []\n",
    "for i in range(len(gs)):\n",
    "    com_asynfluid_b = get_comms(gs[i], \"nasynfluidb\")\n",
    "    print(\"Number of communities in %s graph: %s\" % (gnames[i], len(com_asynfluid_b)))\n",
    "    print(\"Asynchronous Fluid (B) Communities:\")\n",
    "    print(sorted(com_asynfluid_b))\n",
    "    r_A_asynfluid_b = seq_match(com_A[i], com_asynfluid_b)\n",
    "    print(r_A_asynfluid_b)\n",
    "    ratio_A_asynfluid_b.append(r_A_asynfluid_b)\n",
    "    plt.figure(figsize=(8,8))\n",
    "    plt.imshow(r_A_asynfluid_b, cmap=plt.cm.Purples, interpolation='nearest')\n",
    "    plt.show()\n",
    "    a_A_asynfluid_b = nonzeroavg(r_A_asynfluid_b)\n",
    "    print(\"Non-zero values average: %f\" % a_A_asynfluid_b)\n",
    "    avg_A_asynfluid_b.append(a_A_asynfluid_b)\n",
    "    print(sprtr)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "graph: test75\n",
      "Sequental matching ratio: 0.888889\n",
      "Index: 9 - 2\n",
      "[7, 12, 22, 25, 32, 50, 71, 72]\n",
      "[4, 7, 12, 22, 25, 32, 33, 50, 71, 72]\n",
      "----------------------\n",
      "Sequental matching ratio: 0.846154\n",
      "Index: 3 - 0\n",
      "[14, 26, 29, 30, 35, 38, 48, 58, 61, 69, 73, 74]\n",
      "[9, 10, 14, 23, 26, 29, 30, 38, 48, 58, 61, 69, 73, 74]\n",
      "----------------------\n",
      "Sequental matching ratio: 0.689655\n",
      "Index: 8 - 5\n",
      "[3, 13, 16, 20, 45, 47, 51, 52, 57, 70, 75]\n",
      "[3, 8, 13, 15, 16, 17, 20, 43, 47, 51, 52, 57, 60, 62, 63, 64, 70, 75]\n",
      "----------------------\n",
      "Sequental matching ratio: 0.588235\n",
      "Index: 5 - 7\n",
      "[2, 4, 5, 37, 39, 44, 46, 65, 66]\n",
      "[2, 5, 19, 39, 53, 56, 65, 66]\n",
      "----------------------\n",
      "Sequental matching ratio: 0.526316\n",
      "Index: 7 - 4\n",
      "[8, 15, 18, 21, 28, 31, 34, 36, 40, 49, 60, 64]\n",
      "[24, 28, 31, 36, 40, 45, 49]\n",
      "----------------------\n",
      "Sequental matching ratio: 0.457143\n",
      "Index: 2 - 1\n",
      "[9, 23, 24, 33, 41, 53, 54, 56, 63, 68]\n",
      "[2, 7, 9, 14, 18, 21, 22, 24, 25, 28, 32, 33, 34, 38, 41, 51, 53, 54, 60, 63, 64, 65, 67, 68, 74]\n",
      "----------------------\n",
      "Sequental matching ratio: 0.428571\n",
      "Index: 6 - 7\n",
      "[2, 4, 5, 37, 39, 44, 46, 65, 66]\n",
      "[11, 27, 37, 44, 46]\n",
      "----------------------\n",
      "graph: test100\n",
      "Sequental matching ratio: 1.000000\n",
      "Index: 7 - 0\n",
      "[32, 36, 51, 53, 68, 69, 71]\n",
      "[32, 36, 51, 53, 68, 69, 71]\n",
      "----------------------\n",
      "Sequental matching ratio: 1.000000\n",
      "Index: 11 - 2\n",
      "[9, 26, 29, 40, 43]\n",
      "[9, 26, 29, 40, 43]\n",
      "----------------------\n",
      "Sequental matching ratio: 0.947368\n",
      "Index: 10 - 4\n",
      "[2, 14, 21, 28, 37, 50, 52, 60, 75, 81]\n",
      "[2, 14, 21, 28, 50, 52, 60, 75, 81]\n",
      "----------------------\n",
      "Sequental matching ratio: 0.714286\n",
      "Index: 6 - 8\n",
      "[1, 25, 27, 39, 44, 54, 92, 99, 100]\n",
      "[1, 25, 27, 39, 44]\n",
      "----------------------\n",
      "Sequental matching ratio: 0.666667\n",
      "Index: 9 - 6\n",
      "[6, 10, 13, 33, 56, 67, 70, 88]\n",
      "[6, 10, 13, 24, 45, 56, 70]\n",
      "----------------------\n",
      "Sequental matching ratio: 0.645161\n",
      "Index: 5 - 5\n",
      "[4, 17, 59, 65, 66, 73, 87, 89, 95, 96]\n",
      "[4, 15, 17, 18, 23, 33, 46, 54, 59, 65, 66, 67, 73, 79, 82, 87, 88, 89, 95, 96, 99]\n",
      "----------------------\n",
      "Sequental matching ratio: 0.533333\n",
      "Index: 4 - 7\n",
      "[5, 8, 22, 31, 34, 41, 72, 78, 86, 97]\n",
      "[8, 19, 22, 34, 41]\n",
      "----------------------\n",
      "Sequental matching ratio: 0.514286\n",
      "Index: 1 - 8\n",
      "[1, 25, 27, 39, 44, 54, 92, 99, 100]\n",
      "[1, 2, 6, 15, 17, 25, 27, 28, 39, 43, 44, 46, 50, 52, 54, 62, 63, 67, 72, 78, 80, 84, 86, 92, 99, 100]\n",
      "----------------------\n",
      "Sequental matching ratio: 0.423077\n",
      "Index: 8 - 1\n",
      "[7, 16, 48, 57, 58, 61, 63, 74, 77, 80, 90]\n",
      "[3, 5, 7, 11, 12, 16, 20, 30, 31, 35, 37, 38, 42, 47, 48, 49, 55, 57, 58, 61, 62, 63, 64, 72, 74, 76, 77, 78, 80, 83, 84, 85, 86, 90, 91, 92, 93, 94, 97, 98, 100]\n",
      "----------------------\n",
      "graph: test400\n",
      "Sequental matching ratio: 0.976744\n",
      "Index: 11 - 30\n",
      "[1, 4, 6, 21, 22, 24, 28, 38, 42, 43, 44, 68, 78, 88, 93, 94, 95, 105, 108, 113, 145]\n",
      "[1, 4, 6, 21, 22, 24, 28, 35, 38, 42, 43, 44, 68, 78, 88, 93, 94, 95, 105, 108, 113, 145]\n",
      "----------------------\n",
      "Sequental matching ratio: 0.700000\n",
      "Index: 4 - 28\n",
      "[14, 40, 53, 125, 148, 175, 186, 206, 207, 224, 247, 269, 270, 309]\n",
      "[14, 26, 39, 40, 53, 66, 89, 125, 144, 148, 175, 184, 186, 189, 191, 192, 206, 207, 224, 226, 228, 247, 269, 270, 284, 309]\n",
      "----------------------\n",
      "Sequental matching ratio: 0.682927\n",
      "Index: 5 - 44\n",
      "[20, 116, 124, 143, 158, 182, 210, 227, 230, 238, 288, 306, 314, 316]\n",
      "[20, 56, 116, 124, 143, 146, 155, 158, 182, 204, 210, 227, 230, 235, 238, 239, 240, 259, 279, 280, 285, 287, 288, 291, 306, 314, 316]\n",
      "----------------------\n",
      "Sequental matching ratio: 0.666667\n",
      "Index: 0 - 7\n",
      "[149, 209, 212, 221, 222, 266, 293, 295, 296, 297, 324, 330, 343, 356]\n",
      "[51, 100, 131, 149, 209, 212, 221, 222, 236, 266, 274, 278, 293, 294, 295, 296, 297, 315, 317, 319, 324, 330, 331, 332, 334, 343, 356, 364]\n",
      "----------------------\n",
      "Sequental matching ratio: 0.666667\n",
      "Index: 3 - 32\n",
      "[3, 49, 109, 196, 252, 255, 262, 263, 283, 320, 328, 329, 341, 354]\n",
      "[3, 49, 84, 106, 109, 168, 196, 205, 215, 241, 252, 255, 262, 263, 283, 311, 318, 320, 328, 329, 336, 338, 339, 340, 341, 353, 354, 366]\n",
      "----------------------\n",
      "Sequental matching ratio: 0.666667\n",
      "Index: 6 - 10\n",
      "[71, 73, 91, 129, 153, 157, 172, 177, 179, 188, 211, 219]\n",
      "[15, 18, 59, 71, 73, 91, 112, 126, 129, 138, 151, 153, 157, 161, 169, 172, 176, 177, 179, 183, 188, 211, 218, 219]\n",
      "----------------------\n",
      "Sequental matching ratio: 0.666667\n",
      "Index: 39 - 4\n",
      "[39, 313, 321]\n",
      "[39, 51, 83, 183, 313, 321]\n",
      "----------------------\n",
      "Sequental matching ratio: 0.650000\n",
      "Index: 5 - 11\n",
      "[56, 146, 155, 204, 235, 239, 240, 259, 279, 280, 285, 287, 291]\n",
      "[20, 56, 116, 124, 143, 146, 155, 158, 182, 204, 210, 227, 230, 235, 238, 239, 240, 259, 279, 280, 285, 287, 288, 291, 306, 314, 316]\n",
      "----------------------\n",
      "Sequental matching ratio: 0.634146\n",
      "Index: 0 - 42\n",
      "[51, 100, 131, 236, 274, 278, 294, 315, 317, 319, 331, 334, 364]\n",
      "[51, 100, 131, 149, 209, 212, 221, 222, 236, 266, 274, 278, 293, 294, 295, 296, 297, 315, 317, 319, 324, 330, 331, 332, 334, 343, 356, 364]\n",
      "----------------------\n",
      "Sequental matching ratio: 0.628571\n",
      "Index: 6 - 3\n",
      "[15, 18, 59, 126, 138, 151, 161, 169, 176, 183, 218]\n",
      "[15, 18, 59, 71, 73, 91, 112, 126, 129, 138, 151, 153, 157, 161, 169, 172, 176, 177, 179, 183, 188, 211, 218, 219]\n",
      "----------------------\n",
      "Sequental matching ratio: 0.600000\n",
      "Index: 3 - 22\n",
      "[84, 106, 205, 215, 241, 311, 318, 336, 338, 339, 340, 353]\n",
      "[3, 49, 84, 106, 109, 168, 196, 205, 215, 241, 252, 255, 262, 263, 283, 311, 318, 320, 328, 329, 336, 338, 339, 340, 341, 353, 354, 366]\n",
      "----------------------\n",
      "Sequental matching ratio: 0.600000\n",
      "Index: 8 - 46\n",
      "[120, 213, 229, 246, 254, 257, 282, 286, 358, 359, 360, 370]\n",
      "[17, 60, 120, 147, 159, 213, 223, 229, 246, 253, 254, 257, 268, 276, 277, 282, 286, 305, 321, 322, 325, 337, 348, 350, 358, 359, 360, 370]\n",
      "----------------------\n",
      "Sequental matching ratio: 0.594595\n",
      "Index: 4 - 6\n",
      "[26, 66, 89, 144, 184, 189, 191, 192, 226, 228, 284]\n",
      "[14, 26, 39, 40, 53, 66, 89, 125, 144, 148, 175, 184, 186, 189, 191, 192, 206, 207, 224, 226, 228, 247, 269, 270, 284, 309]\n",
      "----------------------\n",
      "Sequental matching ratio: 0.580645\n",
      "Index: 10 - 33\n",
      "[37, 50, 54, 69, 74, 76, 77, 103, 133]\n",
      "[5, 9, 27, 30, 37, 45, 50, 54, 58, 65, 69, 74, 76, 77, 80, 81, 90, 97, 99, 103, 133, 162]\n",
      "----------------------\n",
      "Sequental matching ratio: 0.578947\n",
      "Index: 1 - 21\n",
      "[31, 114, 202, 225, 233, 242, 256, 258, 264, 272, 292]\n",
      "[25, 31, 34, 64, 82, 83, 98, 114, 117, 134, 135, 202, 225, 232, 233, 234, 242, 249, 256, 258, 264, 272, 273, 292, 299, 304, 310]\n",
      "----------------------\n",
      "Sequental matching ratio: 0.545455\n",
      "Index: 2 - 36\n",
      "[72, 87, 96, 119, 136, 164, 171, 197, 198]\n",
      "[11, 33, 61, 72, 86, 87, 96, 102, 115, 118, 119, 136, 164, 167, 170, 171, 178, 181, 193, 194, 197, 198, 203, 220]\n",
      "----------------------\n",
      "Sequental matching ratio: 0.545455\n",
      "Index: 19 - 29\n",
      "[35, 305, 332]\n",
      "[14, 35, 53, 154, 291, 305, 332, 380]\n",
      "----------------------\n",
      "Sequental matching ratio: 0.540541\n",
      "Index: 7 - 15\n",
      "[8, 121, 245, 248, 261, 267, 281, 289, 298, 327]\n",
      "[2, 8, 32, 62, 92, 121, 122, 127, 139, 140, 152, 214, 216, 243, 245, 248, 261, 267, 281, 289, 290, 298, 300, 303, 308, 312, 327]\n",
      "----------------------\n",
      "Sequental matching ratio: 0.533333\n",
      "Index: 10 - 18\n",
      "[27, 58, 65, 81, 90, 97, 99, 162]\n",
      "[5, 9, 27, 30, 37, 45, 50, 54, 58, 65, 69, 74, 76, 77, 80, 81, 90, 97, 99, 103, 133, 162]\n",
      "----------------------\n",
      "Sequental matching ratio: 0.526316\n",
      "Index: 14 - 27\n",
      "[23, 137, 150, 187, 244, 301, 326, 333, 344, 367]\n",
      "[23, 85, 123, 137, 150, 187, 199, 200, 237, 244, 250, 251, 260, 265, 301, 302, 307, 313, 323, 326, 333, 335, 342, 344, 345, 349, 367, 373]\n",
      "----------------------\n",
      "Sequental matching ratio: 0.500000\n",
      "Index: 2 - 2\n",
      "[33, 86, 102, 115, 167, 170, 194, 220]\n",
      "[11, 33, 61, 72, 86, 87, 96, 102, 115, 118, 119, 136, 164, 167, 170, 171, 178, 181, 193, 194, 197, 198, 203, 220]\n",
      "----------------------\n",
      "Sequental matching ratio: 0.486486\n",
      "Index: 8 - 26\n",
      "[17, 147, 253, 268, 276, 277, 325, 337, 350]\n",
      "[17, 60, 120, 147, 159, 213, 223, 229, 246, 253, 254, 257, 268, 276, 277, 282, 286, 305, 321, 322, 325, 337, 348, 350, 358, 359, 360, 370]\n",
      "----------------------\n",
      "Sequental matching ratio: 0.466667\n",
      "Index: 12 - 35\n",
      "[19, 101, 128, 141, 142, 154, 165]\n",
      "[10, 16, 19, 36, 41, 46, 55, 57, 63, 67, 70, 79, 101, 128, 130, 141, 142, 154, 156, 163, 165, 185, 195]\n",
      "----------------------\n",
      "Sequental matching ratio: 0.457143\n",
      "Index: 1 - 31\n",
      "[25, 34, 82, 83, 234, 249, 304, 310]\n",
      "[25, 31, 34, 64, 82, 83, 98, 114, 117, 134, 135, 202, 225, 232, 233, 234, 242, 249, 256, 258, 264, 272, 273, 292, 299, 304, 310]\n",
      "----------------------\n",
      "Sequental matching ratio: 0.444444\n",
      "Index: 7 - 0\n",
      "[62, 92, 139, 214, 216, 300, 303, 312]\n",
      "[2, 8, 32, 62, 92, 121, 122, 127, 139, 140, 152, 214, 216, 243, 245, 248, 261, 267, 281, 289, 290, 298, 300, 303, 308, 312, 327]\n",
      "----------------------\n",
      "graph: test1000\n",
      "Sequental matching ratio: 0.412399\n",
      "Index: 39 - 0\n",
      "[3, 4, 6, 7, 10, 11, 14, 15, 17, 18, 20, 21, 23, 25, 29, 31, 34, 38, 39, 40, 45, 51, 52, 56, 60, 61, 63, 65, 70, 71, 72, 74, 75, 77, 80, 81, 91, 110, 111, 114, 118, 119, 143, 144, 147, 150, 153, 157, 158, 159, 161, 166, 167, 169, 176, 177, 178, 184, 187, 190, 196, 200, 203, 205, 208, 209, 213, 218, 219, 226, 228, 229, 235, 238, 240, 242, 244, 248, 253, 256, 257, 261, 266, 267, 269, 273, 277, 279, 285, 287, 288, 291, 292, 294, 299, 300, 303, 305, 307, 310, 313, 324, 326, 328, 331, 333, 337, 338, 339, 340, 343, 344, 347, 351, 353, 355, 356, 357, 359, 364, 365, 366, 367, 372, 374, 377, 379, 382, 384, 385, 388, 392, 393, 406, 408, 409, 414, 415, 417, 421, 422, 423, 424, 427, 429, 430, 437, 438, 441, 442, 444, 447, 448, 451, 452, 459, 472, 474, 477, 482, 488, 494, 498, 501, 504, 506, 511, 513, 514, 518, 519, 520, 522, 524, 525, 527, 529, 530, 535, 537, 539, 540, 544, 545, 546, 547, 548, 552, 556, 568, 575, 576, 579, 582, 587, 591, 596, 599, 602, 606, 608, 612, 614, 619, 620, 622, 627, 631, 632, 636, 640, 644, 645, 649, 652, 654, 655, 656, 658, 661, 666, 667, 670, 674, 675, 678, 679, 680, 681, 682, 685, 686, 688, 690, 691, 692, 695, 701, 702, 703, 704, 713, 720, 723, 726, 729, 738, 740, 746, 747, 750, 753, 755, 760, 769, 770, 771, 772, 775, 776, 778, 784, 785, 787, 790, 795, 796, 798, 804, 805, 808, 812, 814, 816, 825, 826, 827, 834, 835, 836, 841, 847, 849, 850, 851, 852, 853, 854, 861, 863, 867, 868, 870, 873, 874, 877, 879, 881, 882, 884, 889, 892, 894, 899, 907, 908, 914, 917, 920, 922, 929, 930, 938, 947, 948, 952, 953, 954, 955, 957, 958, 960, 970, 971, 973, 977, 983, 985, 986, 987, 988, 989, 995, 1000]\n",
      "[1, 2, 4, 6, 7, 8, 9, 13, 14, 19, 25, 31, 34, 39, 46, 49, 55, 59, 60, 61, 62, 65, 66, 67, 68, 69, 70, 77, 78, 81, 82, 83, 87, 89, 92, 93, 94, 96, 97, 99, 101, 102, 103, 105, 107, 111, 116, 118, 124, 126, 131, 132, 133, 139, 143, 146, 147, 149, 157, 158, 167, 172, 174, 176, 179, 180, 182, 183, 184, 191, 193, 199, 204, 205, 208, 209, 211, 213, 215, 217, 220, 221, 223, 227, 232, 234, 235, 236, 238, 240, 241, 244, 245, 254, 255, 256, 260, 261, 262, 263, 267, 268, 269, 271, 272, 275, 277, 279, 280, 283, 287, 289, 293, 298, 299, 302, 303, 304, 310, 311, 314, 315, 316, 318, 319, 321, 323, 325, 326, 327, 328, 332, 333, 334, 335, 336, 346, 349, 353, 356, 359, 360, 361, 362, 364, 366, 367, 368, 371, 372, 374, 375, 377, 382, 383, 385, 386, 390, 392, 397, 399, 402, 403, 404, 407, 409, 410, 413, 417, 421, 423, 428, 429, 435, 436, 437, 438, 441, 445, 446, 448, 449, 450, 454, 455, 456, 457, 462, 464, 465, 468, 469, 470, 471, 475, 476, 477, 480, 481, 484, 486, 489, 494, 495, 497, 501, 503, 504, 508, 509, 511, 514, 518, 520, 521, 522, 523, 524, 525, 527, 532, 533, 535, 536, 537, 538, 540, 541, 544, 545, 546, 548, 554, 565, 576, 579, 582, 584, 585, 587, 591, 595, 596, 597, 602, 604, 605, 606, 609, 610, 611, 612, 614, 616, 618, 621, 622, 623, 638, 640, 643, 644, 647, 648, 650, 651, 656, 657, 660, 664, 665, 666, 668, 670, 673, 674, 678, 679, 684, 685, 686, 687, 689, 692, 694, 696, 703, 704, 705, 707, 709, 710, 712, 715, 717, 718, 720, 722, 724, 729, 731, 732, 735, 736, 738, 739, 742, 744, 745, 746, 749, 750, 754, 756, 757, 763, 765, 766, 769, 770, 771, 776, 777, 778, 779, 780, 782, 785, 787, 788, 789, 804, 805, 806, 807, 812, 815, 816, 819, 823, 825, 826, 829, 830, 835, 837, 838, 847, 849, 851, 852, 853, 854, 861, 863, 864, 867, 870, 871, 874, 877, 878, 880, 888, 889, 892, 893, 895, 901, 904, 905, 909, 911, 914, 917, 919, 920, 923, 924, 925, 930, 932, 933, 938, 941, 942, 944, 945, 949, 950, 951, 955, 958, 961, 962, 963, 964, 967, 969, 973, 977, 986, 987, 992, 994, 995, 996, 998]\n",
      "----------------------\n",
      "Sequental matching ratio: 0.404858\n",
      "Index: 39 - 2\n",
      "[2, 9, 16, 19, 24, 28, 30, 32, 33, 36, 37, 42, 43, 49, 55, 58, 59, 62, 64, 68, 73, 78, 79, 83, 86, 88, 92, 94, 95, 97, 99, 100, 101, 102, 103, 104, 105, 106, 107, 108, 112, 115, 116, 120, 124, 129, 132, 133, 136, 137, 138, 139, 140, 141, 148, 149, 152, 155, 156, 160, 162, 163, 173, 179, 183, 185, 188, 191, 192, 193, 201, 204, 210, 211, 215, 216, 217, 220, 221, 222, 223, 224, 227, 231, 233, 234, 236, 246, 249, 251, 254, 255, 258, 262, 263, 272, 276, 278, 281, 286, 296, 297, 298, 301, 304, 315, 316, 317, 318, 320, 322, 323, 327, 330, 334, 336, 342, 349, 352, 360, 369, 371, 375, 387, 394, 395, 397, 400, 403, 404, 405, 407, 412, 413, 418, 428, 435, 445, 446, 455, 462, 463, 466, 468, 469, 473, 475, 479, 483, 484, 486, 489, 490, 492, 497, 503, 505, 507, 508, 509, 510, 512, 516, 521, 523, 526, 528, 532, 533, 534, 536, 538, 541, 542, 550, 554, 557, 559, 562, 565, 569, 570, 581, 584, 586, 588, 589, 590, 593, 594, 595, 597, 598, 600, 601, 605, 607, 610, 611, 615, 617, 618, 621, 624, 628, 629, 634, 635, 638, 642, 643, 646, 647, 648, 650, 659, 660, 662, 663, 665, 668, 671, 672, 673, 676, 687, 689, 694, 696, 697, 698, 700, 705, 707, 708, 709, 710, 711, 715, 716, 717, 719, 722, 724, 730, 731, 733, 735, 736, 741, 742, 744, 745, 748, 749, 751, 756, 757, 758, 759, 762, 764, 766, 773, 774, 777, 782, 791, 794, 799, 800, 801, 802, 803, 806, 807, 811, 819, 820, 822, 823, 829, 831, 837, 840, 842, 844, 845, 848, 860, 864, 865, 869, 875, 876, 878, 885, 886, 888, 890, 893, 895, 896, 897, 901, 902, 905, 906, 910, 913, 918, 921, 923, 934, 939, 941, 943, 945, 950, 951, 959, 961, 962, 968, 975, 979, 980, 982, 991, 993, 996, 998, 999]\n",
      "[1, 2, 4, 6, 7, 8, 9, 13, 14, 19, 25, 31, 34, 39, 46, 49, 55, 59, 60, 61, 62, 65, 66, 67, 68, 69, 70, 77, 78, 81, 82, 83, 87, 89, 92, 93, 94, 96, 97, 99, 101, 102, 103, 105, 107, 111, 116, 118, 124, 126, 131, 132, 133, 139, 143, 146, 147, 149, 157, 158, 167, 172, 174, 176, 179, 180, 182, 183, 184, 191, 193, 199, 204, 205, 208, 209, 211, 213, 215, 217, 220, 221, 223, 227, 232, 234, 235, 236, 238, 240, 241, 244, 245, 254, 255, 256, 260, 261, 262, 263, 267, 268, 269, 271, 272, 275, 277, 279, 280, 283, 287, 289, 293, 298, 299, 302, 303, 304, 310, 311, 314, 315, 316, 318, 319, 321, 323, 325, 326, 327, 328, 332, 333, 334, 335, 336, 346, 349, 353, 356, 359, 360, 361, 362, 364, 366, 367, 368, 371, 372, 374, 375, 377, 382, 383, 385, 386, 390, 392, 397, 399, 402, 403, 404, 407, 409, 410, 413, 417, 421, 423, 428, 429, 435, 436, 437, 438, 441, 445, 446, 448, 449, 450, 454, 455, 456, 457, 462, 464, 465, 468, 469, 470, 471, 475, 476, 477, 480, 481, 484, 486, 489, 494, 495, 497, 501, 503, 504, 508, 509, 511, 514, 518, 520, 521, 522, 523, 524, 525, 527, 532, 533, 535, 536, 537, 538, 540, 541, 544, 545, 546, 548, 554, 565, 576, 579, 582, 584, 585, 587, 591, 595, 596, 597, 602, 604, 605, 606, 609, 610, 611, 612, 614, 616, 618, 621, 622, 623, 638, 640, 643, 644, 647, 648, 650, 651, 656, 657, 660, 664, 665, 666, 668, 670, 673, 674, 678, 679, 684, 685, 686, 687, 689, 692, 694, 696, 703, 704, 705, 707, 709, 710, 712, 715, 717, 718, 720, 722, 724, 729, 731, 732, 735, 736, 738, 739, 742, 744, 745, 746, 749, 750, 754, 756, 757, 763, 765, 766, 769, 770, 771, 776, 777, 778, 779, 780, 782, 785, 787, 788, 789, 804, 805, 806, 807, 812, 815, 816, 819, 823, 825, 826, 829, 830, 835, 837, 838, 847, 849, 851, 852, 853, 854, 861, 863, 864, 867, 870, 871, 874, 877, 878, 880, 888, 889, 892, 893, 895, 901, 904, 905, 909, 911, 914, 917, 919, 920, 923, 924, 925, 930, 932, 933, 938, 941, 942, 944, 945, 949, 950, 951, 955, 958, 961, 962, 963, 964, 967, 969, 973, 977, 986, 987, 992, 994, 995, 996, 998]\n",
      "----------------------\n"
     ]
    }
   ],
   "source": [
    "limiter = 0.4\n",
    "for i in range(len(gs)):\n",
    "    print(\"graph: %s\" % gnames[i])\n",
    "    getHighestRatios(ratio_A_asynfluid_b[i], 25, com_A[i], get_comms(gs[i], \"nasynfluidb\"), limiter)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Number of communities in test75 graph: 11\n",
      "Asynchronous Fluid (AB) Communities:\n",
      "[[1, 42, 50, 55, 59], [2, 5, 39, 53, 56, 65, 66], [3, 7, 12, 13, 16, 31, 32, 33, 40, 71, 72], [4, 27, 37, 44, 46], [6, 11, 17, 43], [8, 21, 24, 62, 63, 64], [9, 18, 22, 34, 35, 41, 67, 68], [10, 14, 19, 47, 51, 52], [15, 20, 28, 45, 57, 60, 70, 75], [23, 25, 30, 48, 54, 74], [26, 29, 36, 38, 49, 58, 61, 69, 73]]\n",
      "[[0.044444444444444446, 0.055710306406685235, 0.04456824512534819], [0.06741573033707865, 0.056338028169014086, 0.0], [0.0, 0.0, 0.11864406779661017], [0.1487603305785124, 0.0055248618784530384, 0.0055248618784530384], [0.011019283746556474, 0.011049723756906077, 0.13812154696132597], [0.0, 0.07202216066481995, 0.08310249307479224], [0.0, 0.0, 0.12394366197183099], [0.011267605633802818, 0.01694915254237288, 0.0903954802259887], [0.15426997245179064, 0.0055248618784530384, 0.0], [0.10140845070422536, 0.005649717514124294, 0.011299435028248588], [0.060941828254847646, 0.022222222222222223, 0.06666666666666667], [0.0, 0.10674157303370786, 0.02247191011235955], [0.0, 0.10555555555555556, 0.044444444444444446], [0.04456824512534819, 0.0446927374301676, 0.05027932960893855], [0.011111111111111112, 0.0947075208913649, 0.03899721448467967], [0.03899721448467967, 0.1005586592178771, 0.0], [0.0, 0.16022099447513813, 0.0], [0.116991643454039, 0.01675977653631285, 0.00558659217877095], [0.0, 0.0, 0.1652892561983471], [0.08403361344537816, 0.016853932584269662, 0.028089887640449437], [0.055401662049861494, 0.07222222222222222, 0.022222222222222223], [0.1043956043956044, 0.011019283746556474, 0.049586776859504134], [0.0, 0.11864406779661017, 0.0], [0.0, 0.0, 0.1652892561983471], [0.043596730245231606, 0.13114754098360656, 0.00546448087431694], [0.06128133704735376, 0.027932960893854747, 0.05027932960893855], [0.0, 0.07365439093484419, 0.039660056657223795], [0.0, 0.005555555555555556, 0.14444444444444443], [0.0, 0.14484679665738162, 0.0], [0.0, 0.13966480446927373, 0.0], [0.11299435028248588, 0.0, 0.0], [0.011019283746556474, 0.12154696132596685, 0.027624309392265192], [0.12154696132596685, 0.0221606648199446, 0.0110803324099723], [0.12087912087912088, 0.03856749311294766, 0.005509641873278237], [0.16483516483516483, 0.0, 0.0], [0.038781163434903045, 0.016666666666666666, 0.09444444444444444], [0.12290502793296089, 0.011204481792717087, 0.0], [0.0, 0.0169971671388102, 0.09631728045325778], [0.0, 0.0056657223796034, 0.10764872521246459], [0.4123989218328841, 0.2834008097165992, 0.4048582995951417], [0.2974683544303797, 0.393026941362916, 0.25356576862123614], [0.2770700636942675, 0.3317384370015949, 0.32854864433811803]]\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 576x576 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Non-zero values average: 0.351509\n",
      "---------------------------------------\n",
      "Number of communities in test100 graph: 16\n",
      "Asynchronous Fluid (AB) Communities:\n",
      "[[1, 25, 27, 39, 43, 44, 100], [2, 14, 16, 48, 77, 90], [3, 37, 56, 64, 74, 94, 98], [4, 17, 59, 65, 66, 73, 89, 96], [5, 26, 55, 58, 83, 91], [6, 32, 36, 51, 53, 68, 69, 71], [7, 31, 57, 61, 78], [8, 19, 22, 34, 41], [9, 13, 24, 29, 40, 45, 70], [10, 18, 20, 76], [11, 12, 42, 86, 93], [15, 46, 54, 67, 79, 82, 95, 99], [21, 28, 50, 52, 60, 75, 81], [23, 33, 87, 88], [30, 38, 63, 72, 80, 84, 85, 92, 97], [35, 47, 49, 62]]\n",
      "[[0.044444444444444446, 0.055710306406685235, 0.04456824512534819], [0.06741573033707865, 0.056338028169014086, 0.0], [0.0, 0.0, 0.11864406779661017], [0.1487603305785124, 0.0055248618784530384, 0.0055248618784530384], [0.011019283746556474, 0.011049723756906077, 0.13812154696132597], [0.0, 0.07202216066481995, 0.08310249307479224], [0.0, 0.0, 0.12394366197183099], [0.011267605633802818, 0.01694915254237288, 0.0903954802259887], [0.15426997245179064, 0.0055248618784530384, 0.0], [0.10140845070422536, 0.005649717514124294, 0.011299435028248588], [0.060941828254847646, 0.022222222222222223, 0.06666666666666667], [0.0, 0.10674157303370786, 0.02247191011235955], [0.0, 0.10555555555555556, 0.044444444444444446], [0.04456824512534819, 0.0446927374301676, 0.05027932960893855], [0.011111111111111112, 0.0947075208913649, 0.03899721448467967], [0.03899721448467967, 0.1005586592178771, 0.0], [0.0, 0.16022099447513813, 0.0], [0.116991643454039, 0.01675977653631285, 0.00558659217877095], [0.0, 0.0, 0.1652892561983471], [0.08403361344537816, 0.016853932584269662, 0.028089887640449437], [0.055401662049861494, 0.07222222222222222, 0.022222222222222223], [0.1043956043956044, 0.011019283746556474, 0.049586776859504134], [0.0, 0.11864406779661017, 0.0], [0.0, 0.0, 0.1652892561983471], [0.043596730245231606, 0.13114754098360656, 0.00546448087431694], [0.06128133704735376, 0.027932960893854747, 0.05027932960893855], [0.0, 0.07365439093484419, 0.039660056657223795], [0.0, 0.005555555555555556, 0.14444444444444443], [0.0, 0.14484679665738162, 0.0], [0.0, 0.13966480446927373, 0.0], [0.11299435028248588, 0.0, 0.0], [0.011019283746556474, 0.12154696132596685, 0.027624309392265192], [0.12154696132596685, 0.0221606648199446, 0.0110803324099723], [0.12087912087912088, 0.03856749311294766, 0.005509641873278237], [0.16483516483516483, 0.0, 0.0], [0.038781163434903045, 0.016666666666666666, 0.09444444444444444], [0.12290502793296089, 0.011204481792717087, 0.0], [0.0, 0.0169971671388102, 0.09631728045325778], [0.0, 0.0056657223796034, 0.10764872521246459], [0.4123989218328841, 0.2834008097165992, 0.4048582995951417], [0.2974683544303797, 0.393026941362916, 0.25356576862123614], [0.2770700636942675, 0.3317384370015949, 0.32854864433811803]]\n"
     ]
    },
    {
     "data": {
      "image/png": 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FVfXnVbW3qu6rqhu6d1oPVbWpqr5YVZ/u3mXeqmp7Vd1WVX+7+vf4lu6d5qWqfnH14/LeqvpEVW3p3mlWVXVzVT1WVfc+77KXV9UdVfXA6suzO3dcqxMc239e/dj8m6r6n1W1vXPHWRzv+J533b+rqlFVOzp2m8VJG+Cq2pTko0l+NMklSd5dVZf0bjVXR5P88hjjB5O8OcnPLdjxfdcNSfZ2L7FOPpLkT8YYP5Dkh7Igx1lV5yd5b5LlMcYbkmxK8q7erebi40muOuayG5PcOca4KMmdq29vRB/P9x7bHUneMMb4p0m+muQDUy81Rx/P9x5fquqCJFcmeXDqhebhpA1wkjcl+doY4+tjjMNJPpnk2uad5maMsX+Mcc/q609l5ZP3+b1bzVdV7UryziQf695l3qrqzCSXJ/ntJBljHB5jPN671VwtJdlaVUtJtiV5uHmfmY0xPpvk28dcfG2SW1ZfvyXJj0+61Jwc79jGGJ8ZYxxdffN/Jdk1+WJzcoK/uyT5L0l+JcmGfDDTyRzg85M89Ly392XBAvVdVbU7yaVJ7urdZO4+nJU7x3Pdi6yD1yQ5kOR3Vr/E/rGqemn3UvMwxvhWkt/IylnF/iRPjDE+07vVujlnjLE/WflHcZJXNu+zXn46yR93LzFPVXVNkm+NMf66e5e1OpkDXMe5bEP+K+f/p6peluQPkrxvjPFk9z7zUlVXJ3lsjHF39y7rZCnJG5P85hjj0iT/mI375cv/x+r3Qa9NcmGSVyV5aVW9p3cr1qqqfjUr3/K6tXuXeamqbUl+Ncm/795lFidzgPclueB5b+/KAnwZ7Pmq6rSsxPfWMcanuveZs8uSXFNV38jKtw/eVlW/17vSXO1Lsm+M8d2vWtyWlSAvgrcn+bsxxoExxpEkn0ry1uad1sujVXVekqy+fKx5n7mqquuSXJ3kX47F+pnT12blH4h/vfo5ZleSe6rq3Natvk8nc4C/kOSiqrqwqk7PyoNAbm/eaW6qqrLy/cO9Y4wPde8zb2OMD4wxdo0xdmfl7+7PxhgLcxY1xngkyUNVdfHqRVckub9xpXl6MMmbq2rb6sfpFVmQB5gdx+1Jrlt9/bokf9i4y1xV1VVJ3p/kmjHGd7r3macxxpfHGK8cY+xe/RyzL8kbV++XG8ZJG+DVBw/8fJI/zcqd/3+MMe7r3WquLkvyU1k5M/zS6q93dC/F9+UXktxaVX+T5J8l+Y/N+8zF6ln9bUnuSfLlrHye2PjPOlT1iSSfS3JxVe2rqp9J8sEkV1bVA1l5NO0HO3dcqxMc239LckaSO1Y/v/xW65IzOMHxbXieCQsAGpy0Z8AAsMgEGAAaCDAANBBgAGggwADQQIABoIEAA0ADAQaABv8XNL2OTys/sLUAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<Figure size 576x576 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Non-zero values average: 0.390477\n",
      "---------------------------------------\n",
      "Number of communities in test400 graph: 63\n",
      "Asynchronous Fluid (AB) Communities:\n",
      "[[1, 6, 21, 38, 42, 43, 78, 93, 95, 108, 113], [2, 8, 121, 127, 267, 298, 303, 327], [3, 191], [4, 340], [5, 9, 45, 50, 69, 99], [7, 52, 107, 132, 174, 180, 208, 217, 271], [10, 19, 67, 79, 101, 141, 142, 163], [11, 86, 119, 194, 197], [12, 47, 48, 110, 160, 166, 201, 231], [13, 29, 75, 104, 111, 173, 190], [14, 26, 39, 89, 144, 148, 184, 189, 192, 224, 226, 228, 269, 270, 284], [15, 179, 188], [16, 36, 46, 55, 128, 154, 165, 185], [17, 60, 223, 229, 257, 322, 325, 348, 358, 359], [18, 71, 153, 157, 161, 183, 218], [20, 143, 227, 239, 279, 288], [22, 24, 28, 35, 44, 68, 88, 94, 105, 145], [23, 150, 244, 301, 335, 367], [25, 64, 98, 117, 135, 202, 273], [27, 30, 37, 54, 77, 81, 90, 103], [31, 83, 114, 225, 233, 234, 258, 264], [32, 122, 140, 152, 261], [33, 115, 167], [34, 390], [40, 53, 66, 125, 175, 186, 206, 207, 247, 309], [41, 57, 63, 70, 130, 156, 195], [49, 205, 252, 262, 339, 353, 354, 366], [51, 100, 236, 278, 317, 330, 332], [56, 155, 204, 210, 240], [58, 65, 74, 76, 80, 97, 133, 162], [59, 112, 151, 176, 177, 211], [61, 170, 193, 198, 203], [62, 139, 214, 216, 243, 312], [72, 171, 178, 181], [73, 129, 169, 172, 219], [82, 134, 232, 242, 249, 256, 272, 292, 299, 304, 310], [84, 241, 255, 263, 318, 320, 329], [85, 237, 323, 345], [87, 96, 118, 164, 220], [91, 126, 138], [92, 245, 248, 281, 289, 290, 300], [102, 253], [106, 109, 168, 283, 336, 341], [116, 158, 230, 285], [120, 147, 213, 254, 277, 305, 350], [123, 200, 250, 260, 326], [124, 280, 291, 306, 314], [131, 149, 209, 266, 293, 297, 334, 364], [136, 400], [137, 333, 349], [146, 182, 238, 259, 287, 316], [159, 246, 268, 276, 282, 286, 321, 337, 360, 370], [187, 199, 251, 302, 307, 313, 342, 344, 373], [196, 215, 311, 338], [212, 221, 222, 274, 294, 295, 296, 315, 319, 324, 331, 343], [235, 357], [265, 328], [275, 356], [308, 361, 365], [346, 368, 376, 377, 380, 383, 385], [347, 351, 352, 371, 382, 389, 391, 394], [355, 363, 372, 379, 381, 387, 388, 392, 393, 395, 399], [362, 369, 374, 375, 378, 384, 386, 396, 397, 398]]\n",
      "[[0.044444444444444446, 0.055710306406685235, 0.04456824512534819], [0.06741573033707865, 0.056338028169014086, 0.0], [0.0, 0.0, 0.11864406779661017], [0.1487603305785124, 0.0055248618784530384, 0.0055248618784530384], [0.011019283746556474, 0.011049723756906077, 0.13812154696132597], [0.0, 0.07202216066481995, 0.08310249307479224], [0.0, 0.0, 0.12394366197183099], [0.011267605633802818, 0.01694915254237288, 0.0903954802259887], [0.15426997245179064, 0.0055248618784530384, 0.0], [0.10140845070422536, 0.005649717514124294, 0.011299435028248588], [0.060941828254847646, 0.022222222222222223, 0.06666666666666667], [0.0, 0.10674157303370786, 0.02247191011235955], [0.0, 0.10555555555555556, 0.044444444444444446], [0.04456824512534819, 0.0446927374301676, 0.05027932960893855], [0.011111111111111112, 0.0947075208913649, 0.03899721448467967], [0.03899721448467967, 0.1005586592178771, 0.0], [0.0, 0.16022099447513813, 0.0], [0.116991643454039, 0.01675977653631285, 0.00558659217877095], [0.0, 0.0, 0.1652892561983471], [0.08403361344537816, 0.016853932584269662, 0.028089887640449437], [0.055401662049861494, 0.07222222222222222, 0.022222222222222223], [0.1043956043956044, 0.011019283746556474, 0.049586776859504134], [0.0, 0.11864406779661017, 0.0], [0.0, 0.0, 0.1652892561983471], [0.043596730245231606, 0.13114754098360656, 0.00546448087431694], [0.06128133704735376, 0.027932960893854747, 0.05027932960893855], [0.0, 0.07365439093484419, 0.039660056657223795], [0.0, 0.005555555555555556, 0.14444444444444443], [0.0, 0.14484679665738162, 0.0], [0.0, 0.13966480446927373, 0.0], [0.11299435028248588, 0.0, 0.0], [0.011019283746556474, 0.12154696132596685, 0.027624309392265192], [0.12154696132596685, 0.0221606648199446, 0.0110803324099723], [0.12087912087912088, 0.03856749311294766, 0.005509641873278237], [0.16483516483516483, 0.0, 0.0], [0.038781163434903045, 0.016666666666666666, 0.09444444444444444], [0.12290502793296089, 0.011204481792717087, 0.0], [0.0, 0.0169971671388102, 0.09631728045325778], [0.0, 0.0056657223796034, 0.10764872521246459], [0.4123989218328841, 0.2834008097165992, 0.4048582995951417], [0.2974683544303797, 0.393026941362916, 0.25356576862123614], [0.2770700636942675, 0.3317384370015949, 0.32854864433811803]]\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 576x576 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Non-zero values average: 0.206143\n",
      "---------------------------------------\n",
      "Number of communities in test1000 graph: 42\n",
      "Asynchronous Fluid (AB) Communities:\n",
      "[[1, 10, 88, 111, 117, 183, 208, 217, 239, 282, 308, 424, 439, 455, 517, 578, 621, 756, 764, 772, 842, 849, 902, 909, 991], [2, 24, 26, 64, 168, 198, 209, 263, 387, 395, 523, 526, 590, 757, 759, 773, 777, 778, 811, 871, 893, 982], [3, 66, 96, 106, 135, 246, 274, 356, 448, 461, 470, 516, 540, 545, 548, 567, 583, 624, 758, 768, 821, 827, 828, 892, 907, 994], [4, 14, 16, 32, 68, 94, 100, 101, 105, 218, 262, 264, 318, 320, 550, 579, 608, 723, 744, 750, 881, 961, 998], [5, 69, 93, 112, 181, 193, 195, 220, 224, 235, 309, 319, 346, 361, 373, 380, 440, 502, 512, 556, 648, 683, 779, 817, 862, 969, 976], [6, 54, 134, 194, 289, 358, 370, 376, 409, 435, 437, 450, 451, 480, 511, 553, 604, 651, 653, 682, 767, 781, 792, 854, 926, 997], [7, 8, 25, 74, 79, 157, 176, 227, 273, 302, 359, 372, 587, 610, 611, 689, 751, 775, 816, 923, 941], [9, 15, 20, 31, 118, 167, 201, 305, 377, 459, 463, 489, 519, 535, 614, 724, 742, 791, 841, 851, 860], [11, 63, 123, 154, 190, 219, 245, 307, 378, 396, 514, 546, 582, 627, 633, 640, 704, 706, 769, 825, 900, 908, 944, 977], [12, 197, 214, 352, 420, 458, 485, 542, 558, 571, 575, 595, 643, 695, 743, 754, 776, 780, 942], [13, 89, 98, 175, 271, 284, 290, 342, 350, 391, 449, 492, 499, 500, 570, 637, 641, 839, 883, 927, 933, 935, 967, 984], [17, 80, 142, 150, 332, 362, 442, 452, 488, 525, 544, 596, 666, 752, 805, 855, 863, 868, 879, 889, 938, 995], [18, 153, 172, 174, 202, 228, 250, 364, 408, 472, 474, 568, 620, 677, 713, 726, 746, 795, 904, 917, 956, 973, 989], [19, 180, 185, 187, 226, 254, 266, 300, 330, 331, 366, 397, 398, 416, 513, 688, 711, 822, 861, 946, 979], [21, 72, 151, 232, 265, 295, 299, 313, 341, 457, 491, 581, 586, 594, 657, 668, 670, 699, 748, 896, 920], [22, 57, 60, 144, 178, 240, 257, 322, 347, 407, 496, 498, 539, 600, 609, 635, 702, 705, 722, 864, 952, 960, 1000], [23, 45, 62, 156, 162, 200, 256, 337, 351, 415, 417, 441, 510, 520, 678, 698, 728, 729, 735, 736, 803, 876, 884, 951, 986], [27, 43, 129, 133, 189, 234, 236, 270, 301, 315, 363, 390, 467, 471, 478, 479, 532, 555, 566, 606, 712, 819, 916, 925, 932, 992], [28, 188, 213, 241, 275, 404, 410, 469, 490, 537, 562, 576, 588, 589, 616, 669, 696, 731, 785, 845, 877, 962], [29, 78, 136, 141, 173, 216, 279, 287, 298, 324, 375, 379, 394, 414, 421, 423, 432, 504, 522, 527, 563, 652, 685, 686, 697, 749, 753, 762, 846, 852, 867], [30, 53, 124, 128, 148, 191, 253, 285, 292, 335, 383, 412, 434, 445, 549, 551, 613, 628, 693, 794, 840, 966], [33, 38, 127, 163, 238, 268, 385, 401, 460, 495, 552, 580, 659, 661, 700, 793, 832, 887, 929, 983], [34, 59, 281, 317, 392, 468, 497, 521, 538, 557, 584, 644, 671, 707, 740, 853, 888, 955, 971, 975], [35, 67, 120, 131, 230, 252, 286, 314, 338, 436, 515, 564, 577, 617, 623, 664, 734, 755, 765, 786, 815, 838, 857, 949, 963], [36, 42, 104, 146, 160, 179, 249, 272, 323, 349, 405, 462, 483, 484, 508, 534, 597, 619, 638, 676, 694, 719, 802, 829, 831, 886, 901, 906, 918, 993], [37, 196, 215, 269, 293, 334, 345, 389, 505, 547, 559, 569, 634, 658, 720, 725, 730, 741, 921, 970, 999], [39, 56, 77, 184, 186, 248, 267, 303, 325, 355, 427, 454, 482, 607, 681, 690, 701, 784, 790, 903, 930, 947, 957], [40, 46, 52, 65, 76, 83, 108, 306, 321, 329, 388, 400, 402, 428, 572, 603, 626, 710, 727, 799, 843, 856, 859, 931, 937, 940, 950, 978], [41, 84, 86, 138, 155, 164, 203, 207, 223, 259, 476, 487, 529, 591, 593, 654, 739, 800, 813, 866, 898, 972], [44, 107, 116, 171, 211, 231, 374, 381, 422, 433, 507, 592, 636, 649, 732, 760, 814, 818, 824, 834, 850, 890, 912, 974], [47, 50, 102, 212, 237, 283, 312, 354, 419, 426, 465, 561, 585, 639, 737, 788, 789, 797, 810, 872, 915, 928, 936, 964, 965, 990], [48, 110, 132, 140, 247, 255, 297, 367, 369, 447, 528, 554, 560, 598, 601, 602, 629, 630, 642, 663, 709, 715, 745, 796, 885, 895, 953], [49, 165, 166, 261, 278, 291, 328, 393, 406, 543, 605, 655, 675, 721, 747, 766, 770, 774, 804, 807, 836, 837, 870, 882], [51, 70, 114, 126, 258, 260, 339, 365, 509, 531, 599, 647, 650, 656, 679, 771, 801, 820, 835, 897, 899, 996], [55, 58, 92, 137, 192, 210, 221, 222, 296, 336, 360, 371, 446, 475, 533, 536, 615, 665, 672, 673, 687, 708, 806, 848, 913, 943, 945, 959], [61, 71, 91, 97, 119, 122, 125, 143, 229, 384, 477, 506, 625, 631, 680, 692, 703, 808, 812, 826, 847, 894, 958, 985], [73, 99, 103, 115, 152, 304, 327, 386, 413, 418, 429, 486, 541, 660, 717, 844, 875, 934, 980], [75, 85, 121, 139, 206, 251, 294, 310, 316, 340, 348, 399, 403, 430, 493, 494, 503, 530, 674, 684, 878, 911, 922, 948, 981, 987], [81, 158, 205, 277, 288, 326, 343, 353, 368, 382, 438, 464, 501, 518, 622, 667, 782, 787, 874], [82, 87, 90, 109, 113, 130, 145, 161, 244, 344, 444, 456, 481, 573, 714, 718, 783, 798, 830, 833, 858, 880, 914, 954, 988], [95, 147, 149, 159, 169, 170, 177, 204, 225, 242, 243, 333, 357, 443, 565, 612, 618, 632, 645, 646, 662, 716, 823, 873, 905, 924], [182, 199, 233, 276, 280, 311, 411, 425, 431, 453, 466, 473, 524, 574, 691, 733, 738, 761, 763, 809, 865, 869, 891, 910, 919, 939, 968]]\n",
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     ]
    },
    {
     "data": {
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\n",
      "text/plain": [
       "<Figure size 576x576 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Non-zero values average: 0.296263\n",
      "---------------------------------------\n"
     ]
    }
   ],
   "source": [
    "ratio_A_asynfluid_ab, avg_A_asynfluid_ab = [], []\n",
    "for i in range(len(gs)):\n",
    "    com_asynfluid_ab = get_comms(gs[i], \"nasynfluidab\")\n",
    "    print(\"Number of communities in %s graph: %s\" % (gnames[i], len(com_asynfluid_ab)))\n",
    "    print(\"Asynchronous Fluid (AB) Communities:\")\n",
    "    print(sorted(com_asynfluid_ab))\n",
    "    r_A_asynfluid_ab = seq_match(com_A[i], com_asynfluid_ab)\n",
    "    print(r_A_asynfluid_b)\n",
    "    ratio_A_asynfluid_ab.append(r_A_asynfluid_ab)\n",
    "    plt.figure(figsize=(8,8))\n",
    "    plt.imshow(r_A_asynfluid_ab, cmap=plt.cm.Purples, interpolation='nearest')\n",
    "    plt.show()\n",
    "    a_A_asynfluid_ab = nonzeroavg(r_A_asynfluid_ab)\n",
    "    print(\"Non-zero values average: %f\" % a_A_asynfluid_ab)\n",
    "    avg_A_asynfluid_ab.append(a_A_asynfluid_ab)\n",
    "    print(sprtr)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "graph: test75\n",
      "Sequental matching ratio: 0.933333\n",
      "Index: 5 - 10\n",
      "[2, 5, 39, 53, 56, 65, 66]\n",
      "[2, 5, 19, 39, 53, 56, 65, 66]\n",
      "----------------------\n",
      "Sequental matching ratio: 0.800000\n",
      "Index: 6 - 6\n",
      "[4, 27, 37, 44, 46]\n",
      "[11, 27, 37, 44, 46]\n",
      "----------------------\n",
      "Sequental matching ratio: 0.625000\n",
      "Index: 4 - 3\n",
      "[9, 18, 22, 34, 35, 41, 67, 68]\n",
      "[6, 18, 34, 41, 42, 59, 67, 68]\n",
      "----------------------\n",
      "Sequental matching ratio: 0.608696\n",
      "Index: 3 - 5\n",
      "[26, 29, 36, 38, 49, 58, 61, 69, 73]\n",
      "[9, 10, 14, 23, 26, 29, 30, 38, 48, 58, 61, 69, 73, 74]\n",
      "----------------------\n",
      "Sequental matching ratio: 0.571429\n",
      "Index: 9 - 2\n",
      "[3, 7, 12, 13, 16, 31, 32, 33, 40, 71, 72]\n",
      "[4, 7, 12, 22, 25, 32, 33, 50, 71, 72]\n",
      "----------------------\n",
      "Sequental matching ratio: 0.461538\n",
      "Index: 8 - 4\n",
      "[15, 20, 28, 45, 57, 60, 70, 75]\n",
      "[3, 8, 13, 15, 16, 17, 20, 43, 47, 51, 52, 57, 60, 62, 63, 64, 70, 75]\n",
      "----------------------\n",
      "Sequental matching ratio: 0.424242\n",
      "Index: 2 - 3\n",
      "[9, 18, 22, 34, 35, 41, 67, 68]\n",
      "[2, 7, 9, 14, 18, 21, 22, 24, 25, 28, 32, 33, 34, 38, 41, 51, 53, 54, 60, 63, 64, 65, 67, 68, 74]\n",
      "----------------------\n",
      "Sequental matching ratio: 0.411765\n",
      "Index: 0 - 5\n",
      "[26, 29, 36, 38, 49, 58, 61, 69, 73]\n",
      "[3, 4, 5, 6, 8, 12, 13, 17, 20, 26, 27, 29, 30, 31, 35, 36, 39, 40, 48, 49, 58, 62, 69, 72, 73]\n",
      "----------------------\n",
      "graph: test100\n",
      "Sequental matching ratio: 1.000000\n",
      "Index: 4 - 11\n",
      "[8, 19, 22, 34, 41]\n",
      "[8, 19, 22, 34, 41]\n",
      "----------------------\n",
      "Sequental matching ratio: 0.933333\n",
      "Index: 7 - 3\n",
      "[6, 32, 36, 51, 53, 68, 69, 71]\n",
      "[32, 36, 51, 53, 68, 69, 71]\n",
      "----------------------\n",
      "Sequental matching ratio: 0.875000\n",
      "Index: 10 - 5\n",
      "[21, 28, 50, 52, 60, 75, 81]\n",
      "[2, 14, 21, 28, 50, 52, 60, 75, 81]\n",
      "----------------------\n",
      "Sequental matching ratio: 0.833333\n",
      "Index: 6 - 14\n",
      "[1, 25, 27, 39, 43, 44, 100]\n",
      "[1, 25, 27, 39, 44]\n",
      "----------------------\n",
      "Sequental matching ratio: 0.571429\n",
      "Index: 9 - 13\n",
      "[9, 13, 24, 29, 40, 45, 70]\n",
      "[6, 10, 13, 24, 45, 56, 70]\n",
      "----------------------\n",
      "Sequental matching ratio: 0.551724\n",
      "Index: 5 - 0\n",
      "[15, 46, 54, 67, 79, 82, 95, 99]\n",
      "[4, 15, 17, 18, 23, 33, 46, 54, 59, 65, 66, 67, 73, 79, 82, 87, 88, 89, 95, 96, 99]\n",
      "----------------------\n",
      "Sequental matching ratio: 0.551724\n",
      "Index: 11 - 13\n",
      "[9, 13, 24, 29, 40, 45, 70]\n",
      "[9, 26, 29, 40, 43]\n",
      "----------------------\n",
      "Sequental matching ratio: 0.500000\n",
      "Index: 1 - 14\n",
      "[1, 25, 27, 39, 43, 44, 100]\n",
      "[1, 2, 6, 15, 17, 25, 27, 28, 39, 43, 44, 46, 50, 52, 54, 62, 63, 67, 72, 78, 80, 84, 86, 92, 99, 100]\n",
      "----------------------\n",
      "Sequental matching ratio: 0.424242\n",
      "Index: 8 - 7\n",
      "[30, 38, 63, 72, 80, 84, 85, 92, 97]\n",
      "[3, 5, 7, 11, 12, 16, 20, 30, 31, 35, 37, 38, 42, 47, 48, 49, 55, 57, 58, 61, 62, 63, 64, 72, 74, 76, 77, 78, 80, 83, 84, 85, 86, 90, 91, 92, 93, 94, 97, 98, 100]\n",
      "----------------------\n",
      "graph: test400\n",
      "Sequental matching ratio: 0.731707\n",
      "Index: 4 - 21\n",
      "[14, 26, 39, 89, 144, 148, 184, 189, 192, 224, 226, 228, 269, 270, 284]\n",
      "[14, 26, 39, 40, 53, 66, 89, 125, 144, 148, 175, 184, 186, 189, 191, 192, 206, 207, 224, 226, 228, 247, 269, 270, 284, 309]\n",
      "----------------------\n",
      "Sequental matching ratio: 0.666667\n",
      "Index: 11 - 46\n",
      "[1, 6, 21, 38, 42, 43, 78, 93, 95, 108, 113]\n",
      "[1, 4, 6, 21, 22, 24, 28, 35, 38, 42, 43, 44, 68, 78, 88, 93, 94, 95, 105, 108, 113, 145]\n",
      "----------------------\n",
      "Sequental matching ratio: 0.625000\n",
      "Index: 11 - 18\n",
      "[22, 24, 28, 35, 44, 68, 88, 94, 105, 145]\n",
      "[1, 4, 6, 21, 22, 24, 28, 35, 38, 42, 43, 44, 68, 78, 88, 93, 94, 95, 105, 108, 113, 145]\n",
      "----------------------\n",
      "Sequental matching ratio: 0.600000\n",
      "Index: 0 - 4\n",
      "[212, 221, 222, 274, 294, 295, 296, 315, 319, 324, 331, 343]\n",
      "[51, 100, 131, 149, 209, 212, 221, 222, 236, 266, 274, 278, 293, 294, 295, 296, 297, 315, 317, 319, 324, 330, 331, 332, 334, 343, 356, 364]\n",
      "----------------------\n",
      "Sequental matching ratio: 0.578947\n",
      "Index: 1 - 55\n",
      "[82, 134, 232, 242, 249, 256, 272, 292, 299, 304, 310]\n",
      "[25, 31, 34, 64, 82, 83, 98, 114, 117, 134, 135, 202, 225, 232, 233, 234, 242, 249, 256, 258, 264, 272, 273, 292, 299, 304, 310]\n",
      "----------------------\n",
      "Sequental matching ratio: 0.555556\n",
      "Index: 4 - 60\n",
      "[40, 53, 66, 125, 175, 186, 206, 207, 247, 309]\n",
      "[14, 26, 39, 40, 53, 66, 89, 125, 144, 148, 175, 184, 186, 189, 191, 192, 206, 207, 224, 226, 228, 247, 269, 270, 284, 309]\n",
      "----------------------\n",
      "Sequental matching ratio: 0.533333\n",
      "Index: 10 - 12\n",
      "[27, 30, 37, 54, 77, 81, 90, 103]\n",
      "[5, 9, 27, 30, 37, 45, 50, 54, 58, 65, 69, 74, 76, 77, 80, 81, 90, 97, 99, 103, 133, 162]\n",
      "----------------------\n",
      "Sequental matching ratio: 0.533333\n",
      "Index: 13 - 6\n",
      "[7, 52, 107, 132, 174, 180, 208, 217, 271]\n",
      "[7, 12, 13, 29, 47, 48, 52, 75, 104, 107, 110, 111, 132, 160, 166, 173, 174, 180, 190, 201, 208, 217, 231, 271, 275]\n",
      "----------------------\n",
      "Sequental matching ratio: 0.529412\n",
      "Index: 8 - 8\n",
      "[17, 60, 223, 229, 257, 322, 325, 348, 358, 359]\n",
      "[17, 60, 120, 147, 159, 213, 223, 229, 246, 253, 254, 257, 268, 276, 277, 282, 286, 305, 321, 322, 325, 337, 348, 350, 358, 359, 360, 370]\n",
      "----------------------\n",
      "Sequental matching ratio: 0.526316\n",
      "Index: 12 - 40\n",
      "[10, 19, 67, 79, 101, 141, 142, 163]\n",
      "[10, 16, 19, 36, 41, 46, 55, 57, 63, 67, 70, 79, 101, 128, 130, 141, 142, 154, 156, 163, 165, 185, 195]\n",
      "----------------------\n",
      "Sequental matching ratio: 0.526316\n",
      "Index: 14 - 48\n",
      "[187, 199, 251, 302, 307, 313, 342, 344, 373]\n",
      "[23, 85, 123, 137, 150, 187, 199, 200, 237, 244, 250, 251, 260, 265, 301, 302, 307, 313, 323, 326, 333, 335, 342, 344, 345, 349, 367, 373]\n",
      "----------------------\n",
      "Sequental matching ratio: 0.516129\n",
      "Index: 13 - 17\n",
      "[12, 47, 48, 110, 160, 166, 201, 231]\n",
      "[7, 12, 13, 29, 47, 48, 52, 75, 104, 107, 110, 111, 132, 160, 166, 173, 174, 180, 190, 201, 208, 217, 231, 271, 275]\n",
      "----------------------\n",
      "Sequental matching ratio: 0.516129\n",
      "Index: 12 - 9\n",
      "[41, 57, 63, 70, 130, 156, 195]\n",
      "[10, 16, 19, 36, 41, 46, 55, 57, 63, 67, 70, 79, 101, 128, 130, 141, 142, 154, 156, 163, 165, 185, 195]\n",
      "----------------------\n",
      "Sequental matching ratio: 0.486486\n",
      "Index: 13 - 36\n",
      "[13, 29, 75, 104, 111, 173, 190]\n",
      "[7, 12, 13, 29, 47, 48, 52, 75, 104, 107, 110, 111, 132, 160, 166, 173, 174, 180, 190, 201, 208, 217, 231, 271, 275]\n",
      "----------------------\n",
      "Sequental matching ratio: 0.484848\n",
      "Index: 10 - 53\n",
      "[5, 9, 45, 50, 69, 99]\n",
      "[5, 9, 27, 30, 37, 45, 50, 54, 58, 65, 69, 74, 76, 77, 80, 81, 90, 97, 99, 103, 133, 162]\n",
      "----------------------\n",
      "Sequental matching ratio: 0.466667\n",
      "Index: 9 - 7\n",
      "[355, 363, 372, 379, 381, 387, 388, 392, 393, 395, 399]\n",
      "[346, 347, 351, 352, 355, 357, 361, 362, 363, 365, 368, 369, 371, 372, 374, 375, 376, 377, 378, 379, 380, 381, 382, 383, 384, 385, 386, 387, 388, 389, 390, 391, 392, 393, 394, 395, 396, 397, 398, 399, 400]\n",
      "----------------------\n",
      "Sequental matching ratio: 0.437500\n",
      "Index: 0 - 13\n",
      "[51, 100, 236, 278, 317, 330, 332]\n",
      "[51, 100, 131, 149, 209, 212, 221, 222, 236, 266, 274, 278, 293, 294, 295, 296, 297, 315, 317, 319, 324, 330, 331, 332, 334, 343, 356, 364]\n",
      "----------------------\n",
      "Sequental matching ratio: 0.428571\n",
      "Index: 3 - 10\n",
      "[84, 241, 255, 263, 318, 320, 329]\n",
      "[3, 49, 84, 106, 109, 168, 196, 205, 215, 241, 252, 255, 262, 263, 283, 311, 318, 320, 328, 329, 336, 338, 339, 340, 341, 353, 354, 366]\n",
      "----------------------\n",
      "Sequental matching ratio: 0.423077\n",
      "Index: 6 - 42\n",
      "[59, 112, 151, 176, 177, 211]\n",
      "[15, 18, 59, 71, 73, 91, 112, 126, 129, 138, 151, 153, 157, 161, 169, 172, 176, 177, 179, 183, 188, 211, 218, 219]\n",
      "----------------------\n",
      "graph: test1000\n",
      "Sequental matching ratio: 0.980392\n",
      "Index: 15 - 22\n",
      "[6, 54, 134, 194, 289, 358, 370, 376, 409, 435, 437, 450, 451, 480, 511, 553, 604, 651, 653, 682, 767, 781, 792, 854, 926, 997]\n",
      "[6, 54, 134, 194, 289, 358, 370, 376, 409, 437, 450, 451, 480, 511, 553, 604, 651, 653, 682, 767, 781, 792, 854, 926, 997]\n",
      "----------------------\n",
      "Sequental matching ratio: 0.979592\n",
      "Index: 17 - 38\n",
      "[61, 71, 91, 97, 119, 122, 125, 143, 229, 384, 477, 506, 625, 631, 680, 692, 703, 808, 812, 826, 847, 894, 958, 985]\n",
      "[61, 71, 91, 97, 119, 122, 125, 143, 229, 359, 384, 477, 506, 625, 631, 680, 692, 703, 808, 812, 826, 847, 894, 958, 985]\n",
      "----------------------\n",
      "Sequental matching ratio: 0.976744\n",
      "Index: 7 - 40\n",
      "[2, 24, 26, 64, 168, 198, 209, 263, 387, 395, 523, 526, 590, 757, 759, 773, 777, 778, 811, 871, 893, 982]\n",
      "[2, 24, 26, 64, 168, 209, 263, 387, 395, 523, 526, 590, 757, 759, 773, 777, 778, 811, 871, 893, 982]\n",
      "----------------------\n",
      "Sequental matching ratio: 0.925926\n",
      "Index: 14 - 16\n",
      "[40, 46, 52, 65, 76, 83, 108, 306, 321, 329, 388, 400, 402, 428, 572, 603, 626, 710, 727, 799, 843, 856, 859, 931, 937, 940, 950, 978]\n",
      "[46, 52, 76, 83, 108, 171, 306, 321, 388, 400, 402, 428, 572, 603, 626, 710, 727, 799, 843, 856, 859, 931, 937, 940, 950, 978]\n",
      "----------------------\n",
      "Sequental matching ratio: 0.912281\n",
      "Index: 27 - 17\n",
      "[36, 42, 104, 146, 160, 179, 249, 272, 323, 349, 405, 462, 483, 484, 508, 534, 597, 619, 638, 676, 694, 719, 802, 829, 831, 886, 901, 906, 918, 993]\n",
      "[36, 42, 104, 138, 146, 160, 249, 323, 349, 405, 462, 483, 484, 508, 534, 597, 638, 676, 694, 719, 829, 831, 886, 901, 906, 918, 993]\n",
      "----------------------\n",
      "Sequental matching ratio: 0.893617\n",
      "Index: 22 - 41\n",
      "[47, 50, 102, 212, 237, 283, 312, 354, 419, 426, 465, 561, 585, 639, 737, 788, 789, 797, 810, 872, 915, 928, 936, 964, 965, 990]\n",
      "[50, 212, 283, 354, 419, 426, 465, 561, 585, 639, 737, 788, 789, 797, 810, 915, 928, 936, 964, 965, 990]\n",
      "----------------------\n",
      "Sequental matching ratio: 0.840000\n",
      "Index: 28 - 7\n",
      "[13, 89, 98, 175, 271, 284, 290, 342, 350, 391, 449, 492, 499, 500, 570, 637, 641, 839, 883, 927, 933, 935, 967, 984]\n",
      "[8, 12, 13, 89, 98, 175, 271, 284, 290, 350, 391, 449, 499, 500, 558, 637, 641, 743, 780, 839, 883, 927, 933, 935, 967, 984]\n",
      "----------------------\n",
      "Sequental matching ratio: 0.833333\n",
      "Index: 0 - 24\n",
      "[30, 53, 124, 128, 148, 191, 253, 285, 292, 335, 383, 412, 434, 445, 549, 551, 613, 628, 693, 794, 840, 966]\n",
      "[25, 30, 53, 74, 128, 148, 176, 191, 273, 285, 292, 335, 383, 412, 434, 445, 549, 551, 613, 628, 693, 775, 794, 816, 840, 966]\n",
      "----------------------\n",
      "Sequental matching ratio: 0.782609\n",
      "Index: 1 - 0\n",
      "[11, 63, 123, 154, 190, 219, 245, 307, 378, 396, 514, 546, 582, 627, 633, 640, 704, 706, 769, 825, 900, 908, 944, 977]\n",
      "[11, 63, 123, 154, 190, 245, 260, 307, 353, 378, 396, 627, 633, 679, 704, 706, 825, 835, 900, 908, 944, 977]\n",
      "----------------------\n",
      "Sequental matching ratio: 0.720000\n",
      "Index: 11 - 14\n",
      "[5, 69, 93, 112, 181, 193, 195, 220, 224, 235, 309, 319, 346, 361, 373, 380, 440, 502, 512, 556, 648, 683, 779, 817, 862, 969, 976]\n",
      "[5, 27, 69, 93, 112, 133, 224, 270, 309, 319, 361, 373, 380, 467, 502, 648, 683, 779, 817, 862, 969, 976, 992]\n",
      "----------------------\n",
      "Sequental matching ratio: 0.693878\n",
      "Index: 13 - 35\n",
      "[44, 107, 116, 171, 211, 231, 374, 381, 422, 433, 507, 592, 636, 649, 732, 760, 814, 818, 824, 834, 850, 890, 912, 974]\n",
      "[28, 107, 116, 181, 231, 235, 241, 374, 381, 404, 422, 469, 507, 556, 592, 732, 760, 814, 818, 834, 845, 850, 890, 912, 974]\n",
      "----------------------\n",
      "Sequental matching ratio: 0.681818\n",
      "Index: 9 - 28\n",
      "[22, 57, 60, 144, 178, 240, 257, 322, 347, 407, 496, 498, 539, 600, 609, 635, 702, 705, 722, 864, 952, 960, 1000]\n",
      "[22, 60, 118, 144, 159, 178, 240, 257, 305, 322, 347, 357, 498, 539, 612, 702, 841, 864, 952, 960, 1000]\n",
      "----------------------\n",
      "Sequental matching ratio: 0.655172\n",
      "Index: 24 - 15\n",
      "[82, 87, 90, 109, 113, 130, 145, 161, 244, 344, 444, 456, 481, 573, 714, 718, 783, 798, 830, 833, 858, 880, 914, 954, 988]\n",
      "[82, 87, 90, 109, 113, 124, 130, 145, 172, 232, 288, 295, 341, 344, 364, 368, 382, 408, 456, 457, 481, 518, 573, 677, 714, 718, 783, 795, 830, 833, 858, 880, 988]\n",
      "----------------------\n",
      "Sequental matching ratio: 0.654545\n",
      "Index: 21 - 23\n",
      "[23, 45, 62, 156, 162, 200, 256, 337, 351, 415, 417, 441, 510, 520, 678, 698, 728, 729, 735, 736, 803, 876, 884, 951, 986]\n",
      "[23, 45, 62, 110, 200, 254, 256, 276, 297, 330, 337, 351, 367, 417, 441, 447, 510, 520, 528, 574, 602, 678, 728, 729, 736, 796, 876, 884, 953, 986]\n",
      "----------------------\n",
      "Sequental matching ratio: 0.641509\n",
      "Index: 10 - 11\n",
      "[95, 147, 149, 159, 169, 170, 177, 204, 225, 242, 243, 333, 357, 443, 565, 612, 618, 632, 645, 646, 662, 716, 823, 873, 905, 924]\n",
      "[32, 72, 94, 100, 147, 149, 155, 157, 169, 177, 223, 225, 242, 243, 262, 264, 333, 443, 548, 565, 618, 632, 645, 646, 716, 823, 873]\n",
      "----------------------\n",
      "Sequental matching ratio: 0.629630\n",
      "Index: 16 - 26\n",
      "[35, 67, 120, 131, 230, 252, 286, 314, 338, 436, 515, 564, 577, 617, 623, 664, 734, 755, 765, 786, 815, 838, 857, 949, 963]\n",
      "[66, 127, 131, 230, 252, 268, 314, 345, 389, 436, 460, 495, 515, 564, 580, 623, 664, 734, 765, 768, 786, 793, 815, 832, 838, 857, 887, 949, 963]\n",
      "----------------------\n",
      "Sequental matching ratio: 0.627451\n",
      "Index: 30 - 31\n",
      "[29, 78, 136, 141, 173, 216, 279, 287, 298, 324, 375, 379, 394, 414, 421, 423, 432, 504, 522, 527, 563, 652, 685, 686, 697, 749, 753, 762, 846, 852, 867]\n",
      "[21, 29, 228, 253, 279, 287, 324, 379, 414, 421, 423, 472, 504, 522, 527, 652, 685, 686, 753, 852]\n",
      "----------------------\n",
      "Sequental matching ratio: 0.603774\n",
      "Index: 5 - 21\n",
      "[1, 10, 88, 111, 117, 183, 208, 217, 239, 282, 308, 424, 439, 455, 517, 578, 621, 756, 764, 772, 842, 849, 902, 909, 991]\n",
      "[1, 117, 151, 183, 217, 233, 280, 282, 308, 439, 455, 578, 621, 657, 699, 733, 756, 761, 764, 842, 865, 869, 896, 902, 909, 919, 968, 991]\n",
      "----------------------\n",
      "Sequental matching ratio: 0.566038\n",
      "Index: 3 - 36\n",
      "[49, 165, 166, 261, 278, 291, 328, 393, 406, 543, 605, 655, 675, 721, 747, 766, 770, 774, 804, 807, 836, 837, 870, 882]\n",
      "[81, 158, 165, 166, 261, 277, 291, 326, 328, 343, 393, 406, 438, 459, 501, 535, 622, 655, 667, 675, 742, 747, 770, 787, 804, 836, 870, 874, 882]\n",
      "----------------------\n",
      "Sequental matching ratio: 0.530612\n",
      "Index: 12 - 39\n",
      "[27, 43, 129, 133, 189, 234, 236, 270, 301, 315, 363, 390, 467, 471, 478, 479, 532, 555, 566, 606, 712, 819, 916, 925, 932, 992]\n",
      "[43, 47, 103, 129, 164, 189, 236, 247, 301, 315, 363, 386, 390, 413, 433, 471, 491, 517, 532, 555, 560, 566, 824, 916, 925, 932, 972]\n",
      "----------------------\n",
      "Sequental matching ratio: 0.428571\n",
      "Index: 19 - 20\n",
      "[3, 66, 96, 106, 135, 246, 274, 356, 448, 461, 470, 516, 540, 545, 548, 567, 583, 624, 758, 768, 821, 827, 828, 892, 907, 994]\n",
      "[15, 20, 31, 96, 106, 167, 205, 214, 246, 356, 377, 448, 516, 519, 540, 545, 583, 614, 624, 758, 851, 892, 907]\n",
      "----------------------\n",
      "Sequental matching ratio: 0.410256\n",
      "Index: 37 - 27\n",
      "[51, 70, 114, 126, 258, 260, 339, 365, 509, 531, 599, 647, 650, 656, 679, 771, 801, 820, 835, 897, 899, 996]\n",
      "[33, 126, 163, 193, 220, 258, 275, 509, 512, 531, 610, 647, 650, 659, 700, 782, 801, 819, 897, 996]\n",
      "----------------------\n"
     ]
    }
   ],
   "source": [
    "limiter = 0.4\n",
    "for i in range(len(gs)):\n",
    "    print(\"graph: %s\" % gnames[i])\n",
    "    getHighestRatios(ratio_A_asynfluid_ab[i], 25, com_A[i], get_comms(gs[i], \"nasynfluidab\"), limiter)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Number of communities in test75 graph: 5\n",
      "K-Clique Communities (k=3):\n",
      "[[1, 2, 4, 5, 7, 9, 10, 12, 14, 15, 16, 17, 18, 19, 20, 22, 23, 25, 26, 27, 28, 29, 30, 32, 33, 34, 36, 37, 38, 39, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 56, 57, 58, 59, 60, 61, 63, 64, 65, 66, 67, 68, 69, 70, 71, 73, 74, 75], [3, 31, 40], [8, 62, 72], [24], [35, 54, 55]]\n",
      "[[0.0, 0.37209302325581395, 0.21428571428571427, 0.07142857142857142, 0.21428571428571427], [0.0, 0.5348837209302325, 0.0, 0.07142857142857142, 0.0], [0.07692307692307693, 0.5116279069767442, 0.0, 0.07142857142857142, 0.0], [0.0, 0.37333333333333335, 0.0, 0.0, 0.0], [0.0, 0.2028985507246377, 0.0, 0.0, 0.0], [0.0, 0.2318840579710145, 0.0, 0.0, 0.0], [0.0, 0.12121212121212122, 0.0, 0.0, 0.0], [0.25, 0.11764705882352941, 0.0, 0.0, 0.4], [0.0, 0.35443037974683544, 0.19047619047619047, 0.0, 0.09523809523809523], [0.0, 0.2535211267605634, 0.15384615384615385, 0.0, 0.0], [0.0, 0.030303030303030304, 0.0, 0.75, 0.0]]\n"
     ]
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 576x576 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Non-zero values average: 0.318794\n",
      "---------------------------------------\n",
      "Number of communities in test100 graph: 2\n",
      "K-Clique Communities (k=3):\n",
      "[[1, 2, 3, 4, 5, 6, 7, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 20, 21, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 35, 36, 37, 38, 39, 40, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 89, 90, 91, 92, 93, 94, 95, 96, 98, 99, 100], [8, 19, 22, 34, 41, 88, 97]]\n",
      "[[0.35294117647058826, 0.30303030303030304], [0.4369747899159664, 0.0], [0.39316239316239315, 0.06451612903225806], [0.39316239316239315, 0.06451612903225806], [0.0, 0.8333333333333334], [0.3508771929824561, 0.07142857142857142], [0.10204081632653061, 0.0], [0.14, 0.0], [0.5970149253731343, 0.041666666666666664], [0.14, 0.0], [0.17647058823529413, 0.0], [0.10204081632653061, 0.0]]\n"
     ]
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 576x576 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Non-zero values average: 0.334835\n",
      "---------------------------------------\n",
      "Number of communities in test400 graph: 4\n",
      "K-Clique Communities (k=3):\n",
      "[[1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 96, 97, 98, 99, 100, 101, 102, 103, 104, 105, 106, 107, 108, 109, 110, 111, 112, 113, 114, 115, 116, 117, 119, 120, 121, 122, 123, 124, 125, 126, 127, 128, 129, 130, 131, 132, 133, 134, 136, 137, 138, 139, 140, 141, 142, 143, 144, 145, 146, 147, 148, 149, 150, 151, 152, 153, 154, 155, 156, 157, 158, 159, 160, 161, 162, 163, 164, 165, 166, 168, 169, 170, 171, 173, 174, 175, 176, 177, 178, 179, 180, 181, 182, 183, 184, 185, 186, 187, 188, 189, 190, 191, 192, 193, 194, 195, 196, 197, 198, 199, 200, 201, 202, 203, 204, 205, 206, 207, 208, 209, 210, 211, 212, 213, 214, 215, 216, 217, 218, 219, 220, 221, 222, 223, 224, 225, 226, 227, 228, 229, 230, 231, 232, 233, 234, 235, 236, 237, 238, 239, 240, 241, 242, 243, 244, 245, 246, 247, 248, 249, 250, 251, 252, 253, 254, 255, 256, 257, 258, 259, 260, 261, 262, 263, 264, 265, 266, 267, 268, 269, 270, 271, 272, 273, 275, 276, 277, 278, 279, 280, 281, 282, 283, 284, 286, 287, 288, 289, 290, 291, 292, 293, 294, 295, 296, 298, 299, 300, 302, 303, 304, 305, 306, 307, 308, 309, 310, 311, 312, 313, 314, 315, 316, 317, 318, 319, 320, 321, 322, 323, 324, 325, 326, 327, 328, 329, 330, 331, 332, 333, 334, 335, 336, 337, 338, 339, 340, 341, 343, 345, 346, 347, 348, 349, 350, 351, 352, 353, 354, 355, 356, 357, 358, 359, 360, 361, 362, 363, 364, 365, 366, 367, 368, 369, 370, 371, 372, 373, 374, 375, 376, 377, 378, 379, 380, 381, 382, 383, 384, 385, 386, 387, 388, 389, 390, 391, 392, 393, 394, 395, 396, 397, 398, 399, 400], [34, 274, 342], [118, 135, 172, 285, 344], [167, 297, 301]]\n",
      "[[0.12470023980815348, 0.06451612903225806, 0.0, 0.06451612903225806], [0.1201923076923077, 0.06666666666666667, 0.0625, 0.0], [0.10653753026634383, 0.0, 0.06896551724137931, 0.07407407407407407], [0.1342925659472422, 0.0, 0.0, 0.0], [0.12530120481927712, 0.0, 0.0, 0.0], [0.125, 0.0, 0.0625, 0.0], [0.11138014527845036, 0.0, 0.06896551724137931, 0.0], [0.12980769230769232, 0.0, 0.0, 0.0], [0.1342925659472422, 0.0, 0.0, 0.0], [0.19069767441860466, 0.0, 0.0, 0.0], [0.1070559610705596, 0.0, 0.0, 0.0], [0.1070559610705596, 0.0, 0.0, 0.0], [0.11165048543689321, 0.0, 0.0, 0.0], [0.12077294685990338, 0.0, 0.0, 0.0], [0.11990407673860912, 0.06451612903225806, 0.06060606060606061, 0.06451612903225806], [0.05012531328320802, 0.0, 0.0, 0.0], [0.05012531328320802, 0.0, 0.0, 0.0], [0.04522613065326633, 0.0, 0.0, 0.0], [0.04030226700251889, 0.0, 0.0, 0.0], [0.04030226700251889, 0.0, 0.0, 0.0], [0.055, 0.0, 0.0, 0.0], [0.03535353535353535, 0.0, 0.0, 0.0], [0.059850374064837904, 0.0, 0.0, 0.0], [0.059850374064837904, 0.0, 0.0, 0.0], [0.025380710659898477, 0.0, 0.0, 0.0], [0.025380710659898477, 0.0, 0.0, 0.0], [0.055, 0.0, 0.0, 0.0], [0.04522613065326633, 0.0, 0.0, 0.0], [0.025380710659898477, 0.0, 0.0, 0.0], [0.059850374064837904, 0.0, 0.0, 0.0], [0.04, 0.0, 0.0, 0.42857142857142855], [0.025380710659898477, 0.0, 0.0, 0.0], [0.05012531328320802, 0.0, 0.0, 0.0], [0.055, 0.0, 0.0, 0.0], [0.059850374064837904, 0.0, 0.0, 0.0], [0.04522613065326633, 0.0, 0.0, 0.0], [0.05012531328320802, 0.0, 0.0, 0.0], [0.020202020202020204, 0.6, 0.0, 0.0], [0.04030226700251889, 0.0, 0.0, 0.0], [0.030379746835443037, 0.0, 0.0, 0.0], [0.05012531328320802, 0.0, 0.0, 0.0], [0.04522613065326633, 0.0, 0.0, 0.0], [0.04522613065326633, 0.0, 0.0, 0.0], [0.030379746835443037, 0.0, 0.0, 0.0], [0.025380710659898477, 0.0, 0.0, 0.0], [0.025380710659898477, 0.0, 0.0, 0.0], [0.030379746835443037, 0.0, 0.0, 0.0], [0.030379746835443037, 0.0, 0.0, 0.0], [0.055, 0.0, 0.0, 0.0], [0.05012531328320802, 0.0, 0.0, 0.0], [0.03535353535353535, 0.0, 0.0, 0.0], [0.04030226700251889, 0.0, 0.0, 0.0], [0.04030226700251889, 0.0, 0.0, 0.0], [0.059850374064837904, 0.0, 0.0, 0.0], [0.025380710659898477, 0.0, 0.0, 0.0], [0.005063291139240506, 0.0, 0.9090909090909091, 0.0], [0.030379746835443037, 0.0, 0.0, 0.0], [0.03535353535353535, 0.0, 0.0, 0.0], [0.04522613065326633, 0.0, 0.0, 0.0], [0.04522613065326633, 0.0, 0.0, 0.0], [0.05012531328320802, 0.0, 0.0, 0.0], [0.04030226700251889, 0.0, 0.0, 0.0], [0.025380710659898477, 0.0, 0.0, 0.0]]\n"
     ]
    },
    {
     "data": {
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      "text/plain": [
       "<Figure size 576x576 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Non-zero values average: 0.087289\n",
      "---------------------------------------\n",
      "Number of communities in test1000 graph: 248\n",
      "K-Clique Communities (k=3):\n",
      "[[2, 24, 263, 590, 757], [3, 338, 661, 827], [4, 429, 790], [5, 319, 361, 380, 502, 779, 862, 969], [6, 376, 781], [7], [8, 98, 290, 839, 927, 935, 967], [10, 142, 238, 587, 879], [11, 245, 260, 353, 378], [12, 558, 743, 780], [13, 350, 391, 500, 641, 818, 883, 984], [16, 96, 101, 318, 961], [17, 606], [19, 226, 266, 372, 397, 466, 473, 513, 763, 822, 910, 979], [20, 22, 60, 322, 347, 539, 1000], [21], [26, 395, 773, 778], [27, 133, 270, 992], [31], [32, 94, 100], [34, 75, 530, 585, 644, 649, 853, 877], [35, 960], [36, 104, 138, 146, 349, 483, 484, 534, 638, 676, 694, 719, 829, 831, 886, 901, 918, 993], [39, 427, 863], [43, 315, 363], [44, 872], [45, 62, 953], [46, 402, 428, 626, 700, 843, 856, 937], [47, 161, 247, 386, 401, 416, 433, 444, 471, 491, 517, 555, 560, 594, 712, 798, 914, 916, 925], [48, 697], [50, 212, 283, 354, 419, 425, 426, 465, 561, 639, 737, 788, 789, 797, 810, 915, 936, 964, 965, 990], [51, 365, 771, 970], [52, 306, 388, 400], [53, 549], [54, 553, 653], [55, 92, 210, 336, 536], [56, 77, 184, 267, 303, 681, 784, 957], [58, 463, 489, 533, 581, 615, 665, 668, 748, 791, 945], [59, 294], [61, 477, 894], [63, 190, 307, 704, 706, 835, 900, 977], [64, 978], [65, 339, 971], [67, 721, 769], [69, 373, 648], [71, 384, 703], [72, 157, 548], [73, 660], [74, 693], [78, 298, 867], [79, 162, 227, 278, 532, 611, 698, 735, 751, 766, 941, 951], [80], [81, 406, 501, 675, 747, 787, 836, 874, 882], [83, 108], [84, 202, 474, 529, 568, 591, 656, 677, 917, 989], [85, 206, 348], [86, 605, 608, 707], [87, 113, 714], [88, 183, 233, 280, 282, 455, 621, 733, 761, 764, 842, 865, 869, 902, 909, 968, 985], [89, 175, 449], [90, 988], [93, 309], [95, 844, 875], [99, 418, 905, 980], [105, 521], [106, 356, 448, 540, 545], [107, 116, 890], [109, 295, 718, 880], [110, 414, 447, 922], [111, 208, 424, 772, 849, 995], [114, 153, 899], [115, 152, 711, 934], [118, 305, 702, 841], [119, 359, 631, 680, 808, 826, 986], [120, 577, 617], [121, 251, 684], [122, 229, 958], [123, 154, 396], [125, 625], [126, 275, 531], [127, 389, 786, 793, 887], [128, 551], [129, 413], [131, 252, 495, 515, 765, 838], [132, 215, 304, 327, 334, 435, 559, 569, 634, 663, 717, 741, 745, 921, 999], [134, 370, 450], [135, 265, 563], [136, 216], [137, 185, 211, 371, 392, 446, 550, 673, 837], [139, 403, 493, 636], [140, 601, 715], [141, 375], [143, 506, 692], [144], [145, 456], [147, 177, 333], [148, 628], [149, 155, 242, 243, 443, 565, 632, 646, 716, 823], [150, 596, 666, 701], [151, 657, 699, 896], [158, 343, 393], [159, 357], [160, 323, 906], [165, 207, 329, 955], [166, 655, 870], [167, 516, 892], [168, 523, 526, 825, 982], [169, 873], [170, 454, 609, 830], [171], [173, 929], [174, 620, 746, 776, 956], [178], [179, 672, 802], [180, 398, 946], [181, 235, 374, 404, 422, 469, 507, 556, 592, 732, 824, 834, 850, 912, 974], [186, 352, 458, 571, 607, 754, 942], [188, 731], [191, 273, 775], [192, 959], [193, 220, 689, 710], [194, 651, 767, 854], [195, 440, 600], [196, 537], [198, 739, 898], [199, 431, 453], [204, 662], [205, 583, 624, 851, 907], [209, 387], [214], [217, 439, 756], [218, 750], [219, 472, 954], [221, 296, 708], [222], [223, 475, 618], [228, 279, 652, 686], [230], [231, 381, 814], [232, 457], [234, 479, 803, 860], [236, 390], [237, 274, 461, 470, 567, 768, 809, 828, 994], [239, 478, 855], [240, 257], [246, 614, 758], [248], [253, 412], [254, 276, 574], [255, 394, 554, 642, 749, 895], [256], [258, 509, 512, 610, 647, 650, 659, 819, 897], [259, 360, 687], [261, 291], [262, 744], [269, 658, 720], [277, 770, 804], [281, 730, 774], [284, 637], [286, 589, 962], [287, 421, 753], [289, 409, 480, 511, 604, 997], [299, 313, 670], [302, 494, 630], [310, 340, 399, 430, 543, 582, 635, 674, 705, 923, 987], [311, 312, 410, 411, 476, 616, 669, 725, 752, 866, 891, 939], [314, 623], [316, 503], [317, 451], [320, 878, 881], [321, 727, 859], [324, 379, 522, 524, 527, 685, 852], [325, 724], [326, 382, 438, 464, 667], [328, 888, 973], [332, 432, 728, 846], [337, 627, 796], [342, 570, 799], [355, 690], [362, 868, 938], [364, 368, 481, 573, 858], [366, 932], [367, 417, 602], [369, 800, 972], [377, 519], [383, 434], [385, 552], [405, 508, 597], [407], [408], [420, 485], [423, 504], [436, 734], [437, 682], [441, 510, 678, 738], [445, 794, 840], [459, 488, 535], [460, 564, 949], [467, 943], [468, 497, 547, 557, 584], [482, 833, 983], [487, 593], [490, 562, 588, 696], [492, 505], [499], [520, 729, 805], [525, 930], [528], [538, 586, 742, 998], [544, 963], [546, 640], [572, 931, 940], [575, 726, 740], [578, 991], [579, 723], [580, 857], [598, 629, 885], [612, 889], [622, 933], [633, 801, 848], [643, 981], [645], [654, 975], [664, 806, 815], [671, 928, 952], [679, 785, 920], [683, 817], [688, 691, 760], [709], [722], [736, 876], [759, 777, 811, 871], [762, 821, 913], [782, 919, 996], [783, 976], [792, 903, 926], [795, 947], [807], [812, 847], [813, 908, 948], [816, 861], [820, 845], [832], [864, 893, 944], [884], [904, 924, 950], [911], [966]]\n",
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\n",
      "text/plain": [
       "<Figure size 576x576 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Non-zero values average: 0.284590\n",
      "---------------------------------------\n"
     ]
    }
   ],
   "source": [
    "ratio_A_n_kcliq_3, avg_A_n_kcliq_3 = [], []\n",
    "for i in range(len(gs)):\n",
    "    com_kcliq_3 = get_comms(gs[i], \"nkcliq3\")\n",
    "    print(\"Number of communities in %s graph: %s\" % (gnames[i], len(com_kcliq_3)))\n",
    "    print(\"K-Clique Communities (k=3):\")\n",
    "    print(sorted(com_kcliq_3))\n",
    "    r_A_n_kcliq_3 = seq_match(com_A[i], com_kcliq_3)\n",
    "    print(r_A_n_kcliq_3)\n",
    "    ratio_A_n_kcliq_3.append(r_A_n_kcliq_3)\n",
    "    plt.figure(figsize=(8,8))\n",
    "    plt.imshow(r_A_n_kcliq_3, cmap=plt.cm.Purples, interpolation='nearest')\n",
    "    plt.show()\n",
    "    a_A_n_kcliq_3 = nonzeroavg(r_A_n_kcliq_3)\n",
    "    print(\"Non-zero values average: %f\" % a_A_n_kcliq_3)\n",
    "    avg_A_n_kcliq_3.append(a_A_n_kcliq_3)\n",
    "    print(sprtr)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "graph: test75\n",
      "Sequental matching ratio: 0.750000\n",
      "Index: 10 - 3\n",
      "[35, 54, 55]\n",
      "[1, 21, 35, 54, 55]\n",
      "----------------------\n",
      "Sequental matching ratio: 0.534884\n",
      "Index: 1 - 1\n",
      "[1, 2, 4, 5, 7, 9, 10, 12, 14, 15, 16, 17, 18, 19, 20, 22, 23, 25, 26, 27, 28, 29, 30, 32, 33, 34, 36, 37, 38, 39, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 56, 57, 58, 59, 60, 61, 63, 64, 65, 66, 67, 68, 69, 70, 71, 73, 74, 75]\n",
      "[1, 10, 11, 15, 16, 19, 23, 37, 42, 43, 44, 45, 46, 47, 50, 52, 55, 56, 57, 59, 61, 66, 70, 71, 75]\n",
      "----------------------\n",
      "Sequental matching ratio: 0.511628\n",
      "Index: 2 - 1\n",
      "[1, 2, 4, 5, 7, 9, 10, 12, 14, 15, 16, 17, 18, 19, 20, 22, 23, 25, 26, 27, 28, 29, 30, 32, 33, 34, 36, 37, 38, 39, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 56, 57, 58, 59, 60, 61, 63, 64, 65, 66, 67, 68, 69, 70, 71, 73, 74, 75]\n",
      "[2, 7, 9, 14, 18, 21, 22, 24, 25, 28, 32, 33, 34, 38, 41, 51, 53, 54, 60, 63, 64, 65, 67, 68, 74]\n",
      "----------------------\n",
      "graph: test100\n",
      "Sequental matching ratio: 0.833333\n",
      "Index: 4 - 1\n",
      "[8, 19, 22, 34, 41, 88, 97]\n",
      "[8, 19, 22, 34, 41]\n",
      "----------------------\n",
      "Sequental matching ratio: 0.597015\n",
      "Index: 8 - 0\n",
      "[1, 2, 3, 4, 5, 6, 7, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 20, 21, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 35, 36, 37, 38, 39, 40, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 89, 90, 91, 92, 93, 94, 95, 96, 98, 99, 100]\n",
      "[3, 5, 7, 11, 12, 16, 20, 30, 31, 35, 37, 38, 42, 47, 48, 49, 55, 57, 58, 61, 62, 63, 64, 72, 74, 76, 77, 78, 80, 83, 84, 85, 86, 90, 91, 92, 93, 94, 97, 98, 100]\n",
      "----------------------\n",
      "Sequental matching ratio: 0.436975\n",
      "Index: 1 - 0\n",
      "[1, 2, 3, 4, 5, 6, 7, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 20, 21, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 35, 36, 37, 38, 39, 40, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 89, 90, 91, 92, 93, 94, 95, 96, 98, 99, 100]\n",
      "[1, 2, 6, 15, 17, 25, 27, 28, 39, 43, 44, 46, 50, 52, 54, 62, 63, 67, 72, 78, 80, 84, 86, 92, 99, 100]\n",
      "----------------------\n",
      "graph: test400\n",
      "Sequental matching ratio: 0.909091\n",
      "Index: 55 - 2\n",
      "[118, 135, 172, 285, 344]\n",
      "[118, 135, 145, 172, 285, 344]\n",
      "----------------------\n",
      "Sequental matching ratio: 0.600000\n",
      "Index: 37 - 1\n",
      "[34, 274, 342]\n",
      "[7, 34, 69, 124, 207, 274, 342]\n",
      "----------------------\n",
      "Sequental matching ratio: 0.428571\n",
      "Index: 30 - 3\n",
      "[167, 297, 301]\n",
      "[8, 25, 42, 60, 68, 167, 210, 248, 290, 297, 301]\n",
      "----------------------\n",
      "graph: test1000\n",
      "Sequental matching ratio: 0.926829\n",
      "Index: 22 - 79\n",
      "[50, 212, 283, 354, 419, 425, 426, 465, 561, 639, 737, 788, 789, 797, 810, 915, 936, 964, 965, 990]\n",
      "[50, 212, 283, 354, 419, 426, 465, 561, 585, 639, 737, 788, 789, 797, 810, 915, 928, 936, 964, 965, 990]\n",
      "----------------------\n",
      "Sequental matching ratio: 0.800000\n",
      "Index: 27 - 85\n",
      "[36, 104, 138, 146, 349, 483, 484, 534, 638, 676, 694, 719, 829, 831, 886, 901, 918, 993]\n",
      "[36, 42, 104, 138, 146, 160, 249, 323, 349, 405, 462, 483, 484, 508, 534, 597, 638, 676, 694, 719, 829, 831, 886, 901, 906, 918, 993]\n",
      "----------------------\n",
      "Sequental matching ratio: 0.700000\n",
      "Index: 13 - 37\n",
      "[181, 235, 374, 404, 422, 469, 507, 556, 592, 732, 824, 834, 850, 912, 974]\n",
      "[28, 107, 116, 181, 231, 235, 241, 374, 381, 404, 422, 469, 507, 556, 592, 732, 760, 814, 818, 834, 845, 850, 890, 912, 974]\n",
      "----------------------\n",
      "Sequental matching ratio: 0.666667\n",
      "Index: 2 - 25\n",
      "[79, 162, 227, 278, 532, 611, 698, 735, 751, 766, 941, 951]\n",
      "[79, 88, 156, 162, 201, 227, 234, 278, 479, 542, 611, 689, 698, 735, 751, 766, 803, 860, 923, 941, 951]\n",
      "----------------------\n",
      "Sequental matching ratio: 0.666667\n",
      "Index: 5 - 109\n",
      "[88, 183, 233, 280, 282, 455, 621, 733, 761, 764, 842, 865, 869, 902, 909, 968, 985]\n",
      "[1, 117, 151, 183, 217, 233, 280, 282, 308, 439, 455, 578, 621, 657, 699, 733, 756, 761, 764, 842, 865, 869, 896, 902, 909, 919, 968, 991]\n",
      "----------------------\n",
      "Sequental matching ratio: 0.666667\n",
      "Index: 6 - 89\n",
      "[58, 463, 489, 533, 581, 615, 665, 668, 748, 791, 945]\n",
      "[55, 58, 92, 210, 336, 342, 463, 489, 533, 536, 570, 581, 615, 665, 668, 724, 748, 791, 806, 848, 913, 945]\n",
      "----------------------\n",
      "Sequental matching ratio: 0.666667\n",
      "Index: 23 - 48\n",
      "[132, 215, 304, 327, 334, 435, 559, 569, 634, 663, 717, 741, 745, 921, 999]\n",
      "[73, 95, 99, 115, 132, 152, 204, 215, 304, 327, 334, 418, 435, 486, 559, 569, 634, 660, 662, 663, 717, 741, 745, 844, 875, 905, 921, 934, 980, 999]\n",
      "----------------------\n",
      "Sequental matching ratio: 0.648649\n",
      "Index: 25 - 4\n",
      "[19, 226, 266, 372, 397, 466, 473, 513, 763, 822, 910, 979]\n",
      "[7, 19, 180, 226, 266, 366, 372, 397, 398, 466, 473, 513, 524, 688, 691, 711, 738, 763, 809, 822, 861, 910, 939, 946, 979]\n",
      "----------------------\n",
      "Sequental matching ratio: 0.620690\n",
      "Index: 37 - 110\n",
      "[258, 509, 512, 610, 647, 650, 659, 819, 897]\n",
      "[33, 126, 163, 193, 220, 258, 275, 509, 512, 531, 610, 647, 650, 659, 700, 782, 801, 819, 897, 996]\n",
      "----------------------\n",
      "Sequental matching ratio: 0.594595\n",
      "Index: 29 - 20\n",
      "[311, 312, 410, 411, 476, 616, 669, 725, 752, 866, 891, 939]\n",
      "[41, 44, 182, 199, 311, 312, 410, 411, 425, 431, 453, 454, 464, 476, 616, 669, 725, 739, 752, 813, 866, 872, 891, 898, 903]\n",
      "----------------------\n",
      "Sequental matching ratio: 0.540541\n",
      "Index: 10 - 64\n",
      "[149, 155, 242, 243, 443, 565, 632, 646, 716, 823]\n",
      "[32, 72, 94, 100, 147, 149, 155, 157, 169, 177, 223, 225, 242, 243, 262, 264, 333, 443, 548, 565, 618, 632, 645, 646, 716, 823, 873]\n",
      "----------------------\n",
      "Sequental matching ratio: 0.533333\n",
      "Index: 1 - 47\n",
      "[63, 190, 307, 704, 706, 835, 900, 977]\n",
      "[11, 63, 123, 154, 190, 245, 260, 307, 353, 378, 396, 627, 633, 679, 704, 706, 825, 835, 900, 908, 944, 977]\n",
      "----------------------\n",
      "Sequental matching ratio: 0.529412\n",
      "Index: 36 - 84\n",
      "[84, 202, 474, 529, 568, 591, 656, 677, 917, 989]\n",
      "[17, 18, 40, 84, 202, 203, 299, 313, 331, 385, 442, 474, 529, 552, 568, 591, 606, 656, 670, 755, 917, 920, 973, 989]\n",
      "----------------------\n",
      "Sequental matching ratio: 0.526316\n",
      "Index: 20 - 30\n",
      "[310, 340, 399, 430, 543, 582, 635, 674, 705, 923, 987]\n",
      "[67, 85, 195, 206, 302, 310, 340, 346, 348, 399, 407, 430, 440, 494, 543, 582, 600, 630, 635, 674, 705, 721, 769, 911, 922, 948, 987]\n",
      "----------------------\n",
      "Sequental matching ratio: 0.518519\n",
      "Index: 26 - 53\n",
      "[186, 352, 458, 571, 607, 754, 942]\n",
      "[35, 121, 186, 251, 316, 325, 352, 403, 420, 458, 485, 503, 571, 577, 607, 643, 684, 754, 942, 981]\n",
      "----------------------\n",
      "Sequental matching ratio: 0.516129\n",
      "Index: 11 - 114\n",
      "[5, 319, 361, 380, 502, 779, 862, 969]\n",
      "[5, 27, 69, 93, 112, 133, 224, 270, 309, 319, 361, 373, 380, 467, 502, 648, 683, 779, 817, 862, 969, 976, 992]\n",
      "----------------------\n",
      "Sequental matching ratio: 0.478261\n",
      "Index: 12 - 6\n",
      "[47, 161, 247, 386, 401, 416, 433, 444, 471, 491, 517, 555, 560, 594, 712, 798, 914, 916, 925]\n",
      "[43, 47, 103, 129, 164, 189, 236, 247, 301, 315, 363, 386, 390, 413, 433, 471, 491, 517, 532, 555, 560, 566, 824, 916, 925, 932, 972]\n",
      "----------------------\n",
      "Sequental matching ratio: 0.473684\n",
      "Index: 3 - 146\n",
      "[81, 406, 501, 675, 747, 787, 836, 874, 882]\n",
      "[81, 158, 165, 166, 261, 277, 291, 326, 328, 343, 393, 406, 438, 459, 501, 535, 622, 655, 667, 675, 742, 747, 770, 787, 804, 836, 870, 874, 882]\n",
      "----------------------\n",
      "Sequental matching ratio: 0.461538\n",
      "Index: 38 - 177\n",
      "[255, 394, 554, 642, 749, 895]\n",
      "[48, 136, 140, 141, 216, 255, 369, 375, 394, 554, 598, 601, 629, 642, 697, 709, 715, 749, 885, 895]\n",
      "----------------------\n",
      "Sequental matching ratio: 0.444444\n",
      "Index: 30 - 8\n",
      "[324, 379, 522, 524, 527, 685, 852]\n",
      "[21, 29, 228, 253, 279, 287, 324, 379, 414, 421, 423, 472, 504, 522, 527, 652, 685, 686, 753, 852]\n",
      "----------------------\n",
      "Sequental matching ratio: 0.432432\n",
      "Index: 8 - 34\n",
      "[56, 77, 184, 267, 303, 681, 784, 957]\n",
      "[39, 56, 70, 77, 80, 150, 184, 248, 267, 303, 355, 362, 427, 452, 482, 525, 596, 666, 681, 690, 701, 784, 805, 863, 868, 930, 938, 947, 957]\n",
      "----------------------\n",
      "Sequental matching ratio: 0.428571\n",
      "Index: 9 - 100\n",
      "[20, 22, 60, 322, 347, 539, 1000]\n",
      "[22, 60, 118, 144, 159, 178, 240, 257, 305, 322, 347, 357, 498, 539, 612, 702, 841, 864, 952, 960, 1000]\n",
      "----------------------\n",
      "Sequental matching ratio: 0.424242\n",
      "Index: 28 - 80\n",
      "[8, 98, 290, 839, 927, 935, 967]\n",
      "[8, 12, 13, 89, 98, 175, 271, 284, 290, 350, 391, 449, 499, 500, 558, 637, 641, 743, 780, 839, 883, 927, 933, 935, 967, 984]\n",
      "----------------------\n",
      "Sequental matching ratio: 0.411765\n",
      "Index: 14 - 54\n",
      "[46, 402, 428, 626, 700, 843, 856, 937]\n",
      "[46, 52, 76, 83, 108, 171, 306, 321, 388, 400, 402, 428, 572, 603, 626, 710, 727, 799, 843, 856, 859, 931, 937, 940, 950, 978]\n",
      "----------------------\n",
      "Sequental matching ratio: 0.410256\n",
      "Index: 28 - 39\n",
      "[13, 350, 391, 500, 641, 818, 883, 984]\n",
      "[8, 12, 13, 89, 98, 175, 271, 284, 290, 350, 391, 449, 499, 500, 558, 637, 641, 743, 780, 839, 883, 927, 933, 935, 967, 984]\n",
      "----------------------\n"
     ]
    }
   ],
   "source": [
    "limiter = 0.4\n",
    "for i in range(len(gs)):\n",
    "    print(\"graph: %s\" % gnames[i])\n",
    "    getHighestRatios(ratio_A_n_kcliq_3[i], 25, com_A[i], get_comms(gs[i], \"nkcliq3\"), limiter)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 76,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Number of communities in test75 graph: 7\n",
      "K-Clique Communities (k=4):\n",
      "[[2, 34, 51, 67, 68, 74], [7, 32, 72], [26, 30, 38, 48, 58, 61, 69, 73], [39, 53, 66], [42, 59], [43, 45, 50, 52, 62, 63, 64, 65, 70, 71], [47, 57, 60, 75]]\n",
      "[[0.36363636363636365, 0.07142857142857142, 0.07142857142857142, 0.0, 0.0, 0.05714285714285714, 0.0], [0.06060606060606061, 0.07142857142857142, 0.0, 0.14814814814814814, 0.0, 0.34285714285714286, 0.20689655172413793], [0.06060606060606061, 0.07142857142857142, 0.14285714285714285, 0.0, 0.3870967741935484, 0.17142857142857143, 0.06896551724137931], [0.7272727272727273, 0.0, 0.0, 0.0, 0.1, 0.0, 0.0], [0.0, 0.0, 0.0, 0.4, 0.42857142857142855, 0.0, 0.0], [0.0, 0.5454545454545454, 0.0, 0.0, 0.14285714285714285, 0.1111111111111111, 0.0], [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], [0.0, 0.0, 0.0, 0.0, 0.0, 0.11764705882352941, 0.0], [0.0, 0.0, 0.0, 0.0, 0.08333333333333333, 0.42857142857142855, 0.36363636363636365], [0.0, 0.0, 0.46153846153846156, 0.0, 0.0, 0.2, 0.0], [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0]]\n"
     ]
    },
    {
     "data": {
      "image/png": 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J3pYk3f3YfkYtOZhhuyXJF865fCo79D/nQVFVz0nyoiT3Lbvkm63u6n0iySNJPtjdu7Tvl5K8Ick3lh5yEZ3k96rq/qq6a+kx5/iOJKeTvH11N/7uqjqynwc8iGGrC1y3M9/VD4KqujbJe5P8bHd/eek95+ru/9PdL0xya5KXVNVO3J2vqlcleaS77196yyXc3t0vTvL9Sf7V6mGRXXA4yYuTvLW7X5Tkq0n29bHxgxi2U0mefc7lW5M8tNCWA2f12NV7k7yzu9+39J6LWd1V+UiSVy485f+5PckPrR7HeneSl1XVry076Zt190Orj48k+Y2cfdhmF5xKcuqcs+97czZ0++Yghu1jSZ5XVc9dPQh5Z5L3L7zpQFg9OP+2JCe7+xeX3nO+qjpWVdevPr86yfcm+cyyq87q7p/v7lu7+zk5+2/u97v7tQvPelxVHVk9IZTV3bzvS7ITz8x3918n+UJV3ba66uVJ9vUJq8P7+cX3Q3d/vap+OsnvJjmU5J7ufnDhWY+rqncl+Z4kR6vqVJI3d/fbll31uNuT/FiST64ex0qSf9fdH1hw07luSvKO1TPfT0vynu7euR+r2FHfnuQ3zn7vyuEkv97dv7PspG/yuiTvXJ2MfC7JT+znwQ7cj3sAPJmDeFcU4JKEDRhH2IBxhA0YR9iAcYQNGEfYgHGEDRjn/wLDq9p3mz9rrQAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<Figure size 576x576 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Non-zero values average: 0.284768\n",
      "---------------------------------------\n",
      "Number of communities in test100 graph: 5\n",
      "K-Clique Communities (k=4):\n",
      "[[1, 15, 16, 17, 20, 25, 27, 35, 36, 39, 44, 46, 47, 48, 49, 51, 53, 54, 55, 58, 59, 61, 62, 63, 64, 65, 66, 67, 68, 69, 71, 72, 73, 74, 76, 77, 78, 79, 80, 82, 83, 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 96, 99, 100], [8, 34, 41, 97], [9, 40, 95, 98], [21, 28, 50, 52, 60, 75, 81], [24, 45, 56, 70]]\n",
      "[[0.1728395061728395, 0.13333333333333333, 0.26666666666666666, 0.0, 0.06060606060606061], [0.49382716049382713, 0.0, 0.0, 0.0, 0.18181818181818182], [0.3037974683544304, 0.07142857142857142, 0.0, 0.0, 0.06451612903225806], [0.4050632911392405, 0.07142857142857142, 0.0, 0.2857142857142857, 0.12903225806451613], [0.0, 0.0, 0.6666666666666666, 0.0, 0.0], [0.42105263157894735, 0.0, 0.0, 0.08, 0.0], [0.16666666666666666, 0.0, 0.0, 0.0, 0.0], [0.1935483870967742, 0.0, 0.0, 0.0, 0.0], [0.5833333333333334, 0.0, 0.044444444444444446, 0.044444444444444446, 0.0], [0.0, 0.7272727272727273, 0.0, 0.0, 0.0], [0.0, 0.0, 0.0, 0.0, 0.875], [0.0, 0.0, 0.0, 0.4444444444444444, 0.0]]\n"
     ]
    },
    {
     "data": {
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      "text/plain": [
       "<Figure size 576x576 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Non-zero values average: 0.440014\n",
      "---------------------------------------\n",
      "Number of communities in test400 graph: 27\n",
      "K-Clique Communities (k=4):\n",
      "[[1, 4, 6, 21, 22, 24, 28, 35, 38, 42, 43, 44, 68, 78, 88, 93, 94, 95, 105, 108, 113, 145], [2, 8, 32, 62, 92, 121, 122, 127, 139, 140, 152, 214, 243, 245, 248, 281, 289, 290, 298, 303, 308, 312, 327], [3, 49, 84, 106, 109, 168, 196, 205, 219, 241, 262, 263, 283, 318, 328, 338, 340, 341, 353, 366], [5, 9, 27, 30, 37, 45, 50, 54, 58, 65, 69, 74, 76, 77, 80, 81, 90, 97, 99, 103, 133, 162], [7, 12, 13, 29, 47, 52, 75, 104, 107, 110, 111, 132, 160, 166, 173, 180, 201, 208, 217, 231, 271, 275], [10, 16, 36, 41, 46, 57, 63, 67, 70, 79, 101, 128, 130, 141, 142, 154, 156, 163, 165, 185, 195], [11, 33, 61, 72, 86, 87, 96, 102, 115, 118, 119, 136, 167, 171, 178, 181, 193, 194, 197, 198, 203, 206, 247, 320, 336, 347, 351, 361, 368, 372, 374, 376, 382, 386, 387, 389, 390, 391, 392, 393, 394, 396, 397, 399, 400], [14, 26, 39, 40, 53, 66, 89, 125, 144, 148, 175, 184, 186, 189, 191, 192, 207, 224, 226, 269, 270], [15, 18, 59, 71, 73, 91, 112, 126, 138, 151, 153, 157, 161, 169, 172, 176, 177, 179, 183, 188, 218], [17, 60, 120, 147, 159, 211, 213, 223, 229, 246, 253, 254, 255, 257, 268, 276, 277, 282, 321, 322, 325, 329, 348, 350, 354, 358, 360, 370, 378], [19, 55, 355, 383], [20, 56, 116, 124, 143, 146, 155, 158, 182, 204, 210, 227, 230, 235, 238, 239, 240, 259, 279, 280, 285, 287, 288, 306, 314, 316], [23, 85, 123, 137, 150, 187, 199, 200, 237, 244, 260, 265, 301, 302, 313, 323, 326, 333, 342, 344, 345, 346, 349, 367, 373, 379, 384, 395], [25, 31, 34, 64, 82, 83, 98, 114, 117, 134, 135, 202, 232, 233, 234, 242, 249, 256, 258, 264, 272, 273, 292, 304, 310, 335, 377], [48, 190], [51, 100, 131, 149, 209, 212, 221, 222, 236, 266, 274, 293, 294, 295, 296, 297, 315, 317, 324, 331, 334, 356], [129, 267], [164, 170, 228, 309], [174, 319, 330, 357, 362], [215, 261, 284, 311, 352, 359], [216, 278, 337, 381], [220, 286, 375, 398], [225, 250, 251, 299, 365, 371], [252, 343, 388], [291, 305, 332, 380], [300, 339, 363, 364], [307, 369, 385]]\n",
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XE3LvJMh93+1yF34r9SUKIxwQiMABgQgcEIjAAYEIHBCIwAGBGq7Lmlm3pM2SXnD3t5vZ+ZLuk7RI0mOSbnD34dwxRkfHdPjQibptpauc5i4Z5OTegdDdU//3UGkZO1f6L30nRO77zr2rISd6Svkjh+v/X5CkOXOrX/W2FUxmhPugpK2nPb5d0p3uvkrSfkk3VtkxoBM1FDgzWy7pKkl31R6bpMskPVD7kvWSrmlGB4FO0ugI9y+SPiJprPZ4saQD7n7qtcsOSefW29HM1prZZjPbPPjS4JQ6C7S7CQNnZm+XtMfdf3r65jpfWnf6UXdf5+4D7j7Qv7i/sJtAZ2ikCnCppHea2ZWSZkqap/ERb4GZ9dRGueWSdjavm0BnmHCEc/e/c/fl7r5S0vWSfuju75b0I0nvqn3ZGkkPNq2XQIeYyu3aH5V0n5ndKulxSXdPtEN3d1dx+T/l4IHjybb5C9Jz5efK3LtfPFx3+9Jz5jbesQoUl+IL1xaIXuW0U0v/OZMKnLv/WNKPa59vk7S6+i4BnYs7TYBABA4IROCAQAQOCETggEChs7iMjo7p0MH6Zfzcnfi5cnWu9J+TuzN+cf9ZRcdMOXpkKNk2e86MZFvpOwmiy/toHCMcEIjAAYEIHBCIwAGBCBwQiMABgUIvC3R3d2ne/LIyftU8c0d9T093pefq7U0fL7dGwODgsWTb8uXzp9QnTA9GOCAQgQMCETggEIEDAhE4IBCBAwK1zJqvJ46ny+PHM20LF5Xd2T9zVtwd9bm1BXLfd3Tpv3TZZzSOEQ4IROCAQAQOCETggEAEDghE4IBALXNZIFumr7c4VhsZGkovAZz7vvfvS79boPRyCKYXIxwQiMABgQgcEIjAAYEIHBCIwAGBWuayQE7uTvVmlM4PHzpRd3vpcsmlVzWiS/+8I6D5GOGAQAQOCETggEAEDghE4IBABA4I1DKXBUonsGlG6TxV/s/d9Z9bMnl4OL3fWG6RgwxK+O2JEQ4IROCAQAQOCETggEAEDgjUMlXKXNUtVx3MLWU6I3PMQwePJ9tSU5OXVgZzFczevrIfQeoGa0maMTN9zL7C8zVDrnrbSv2sEiMcEIjAAYEIHBCIwAGBCBwQiMABgdqj9lpY+s+ZN39WaW8mLVf6H8rctJ373nLzqwwOHk229fdX/yPfcP+WZNt1f3pRsm04c7mHywIApozAAYEIHBCIwAGBCBwQiMABgRqqvZrZdkmHJY1KGnH3ATNbJOl+SSslbZd0nbvvzx1nzD1ZBs/N7BE9f8fIyGjd7T093UXHy5W/Sy9r5MydO6NovwMH0u+gWLAgfRklV/rPmTO3bOr4djaZEe4P3f0idx+oPb5Z0iZ3XyVpU+0xgIypvKS8WtL62ufrJV0z9e4Ana3RwLmkH5jZT81sbW3bUnffJUm1j2c3o4NAJ2n0/plL3X2nmZ0t6SEz+79GT1AL6FpJWrFiRUEXgc7R0Ajn7jtrH/dI+qak1ZJ2m9kySap93JPYd527D7j7QH//kmp6DbSpCQNnZrPNbO6pzyW9VdKTkjZKWlP7sjWSHmxWJ4FO0chLyqWSvmlmp77+K+7+PTN7VNIGM7tR0nOSrp3oQF1mTSmDV620/J+SmpRIKn+3QE5u0qKcXOm/GXITIZWuNlu1v7r6y8m2zz94w6SPN+FPxt23SXpDne0vSbp80mcEzmDcaQIEInBAIAIHBCJwQCACBwRqmZlamlEe72TNeL6ifwYlpf9bbvpOsu3WO66aSnfqKin95zDCAYEIHBCIwAGBCBwQiMABgQgcECj0ssCYe3pCnfF3I9SVW3K49M74khL4ycwSubn1A44dHUq2dWfemZBdajnzfBVrxjEzSpYcbkbpPxIjHBCIwAGBCBwQiMABgQgcEIjAAYFiLwuMuY4dG67btmDhWZFd0ZGj9fshpS8L5Er/OWfNLpvrv1TpXf+ll1hKdeqywjmMcEAgAgcEInBAIAIHBCJwQCACBwQKrcv2dHdVXv4/kSmB55YqXrx4drLt5Mn6Sw6PjaUXRo4uqWcV3vVf+lyWOhMnjmKEAwIROCAQgQMCETggEIEDAhE4IFAL1bJbx8hI/csCXV3V/36KLsXnRJ+vU0v/OYxwQCACBwQicEAgAgcEInBAIAIHBAq9LDAyOqaDB47XbZu/YFZyv9xd5c3Q21t/vv+ezDoAOcn1FJQvxbfLZEBoHCMcEIjAAYEIHBCIwAGBCBwQKHxOk1Q1srQiV1rBzO137Fj9toWLyuZj6ctUDc/EeT1OyVVvc89ZO2OEAwIROCAQgQMCETggEIEDAhE4IFDsCqjuyTJ4aQm8GfulpjovNTycLn+XasblhDP5EkUURjggEIEDAhE4IBCBAwIROCAQgQMCNXRZwMwWSLpL0usluaT3SvqFpPslrZS0XdJ17r4/d5wus8rLy80oZc+ZO7O0O3X19ZW9WyCn9Ht75NEdybbVv7e86JilWuUdAR+49t5k279+7d2VnqvREe6zkr7n7q+V9AZJWyXdLGmTu6+StKn2GEDGhIEzs3mS3izpbkly92F3PyDpaknra1+2XtI1zeok0CkaGeFeIWmvpC+a2eNmdpeZzZa01N13SVLt49lN7CfQERoJXI+kSyR9wd0vlnRUk3j5aGZrzWyzmW3eO7i3sJtAZ2gkcDsk7XD3h2uPH9B4AHeb2TJJqn3cU29nd1/n7gPuPrCkf0kVfQba1oSBc/cXJT1vZq+pbbpc0tOSNkpaU9u2RtKDTekh0EEarct+QNK9ZtYnaZuk92g8rBvM7EZJz0m6tjldjJdaAXVs1JP7lJa4o+/Cjy7933LTd5Jtf/+ptyXbIqdrr7r0n9PQd+XuWyQN1Gm6vNruAJ2NO02AQAQOCETggEAEDghE4IBArXG79gT27zuWbCud7//48eFk26xZfXW3D41WPxlQp7v1jquSbdEr27YCRjggEIEDAhE4IBCBAwIROCAQgQMCmXv6DvjKT2a2V9Kvaw/7JQ2GnTyvVfrSKv2QWqcvrdIPqfG+nOfudd/8GRq43zix2WZ3r/cOhHCt0pdW6YfUOn1plX5I1fSFl5RAIAIHBJrOwK2bxnO/XKv0pVX6IbVOX1qlH1IFfZm2v+GAMxEvKYFABA4INC2BM7MrzOwXZvaMmU3bmgRmtt3Mfm5mW8xsc/C57zGzPWb25GnbFpnZQ2b2q9rHhdPYl0+a2Qu152aLmV0Z0I8VZvYjM9tqZk+Z2Qdr20Ofl0w/pv6cuHvoP0ndkp7V+BTqfZJ+JunC6H7U+rJdUv80nfvNGp9Q98nTtn1a0s21z2+WdPs09uWTkv4m+DlZJumS2udzJf1S0oXRz0umH1N+TqZjhFst6Rl33+buw5Lu0/jCIGcUd/+JpH0v2zwtC6Qk+hLO3Xe5+2O1zw9rfJWmcxX8vGT6MWXTEbhzJT1/2uMdquibKeCSfmBmPzWztdPUh9O12gIp7zezJ2ovOUNe3p5iZislXSzpYU3j8/KyfkhTfE6mI3BWZ9t0XZu41N0vkfTHkt5nZm+epn60oi9IeqWkiyTtknRH1InNbI6kr0v6kLsfijpvA/2Y8nMyHYHbIWnFaY+XS9o5Df2Qu++sfdwj6Zsaf7k7nRpaICWCu+9291F3H5P0Hwp6bsysV+P/ye9192/UNoc/L/X6UcVzMh2Be1TSKjM7v7ZWwfUaXxgklJnNNrO5pz6X9FZJT+b3arqWWSDl1H/wmj9RwHNjZqbxhT+3uvtnTmsKfV5S/ajkOYmsQp1WBbpS45WfZyV9fJr68AqNV0h/Jump6H5I+qrGX5ac1Piof6OkxRpfvvlXtY+LprEvX5b0c0lPaPw//LKAfvy+xv+8eELSltq/K6Ofl0w/pvyccGsXEIg7TYBABA4IROCAQAQOCETggEAEDghE4IBA/w/c6axGjazDjwAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<Figure size 576x576 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Non-zero values average: 0.253261\n",
      "---------------------------------------\n",
      "Number of communities in test1000 graph: 22\n",
      "K-Clique Communities (k=4):\n",
      "[[21, 379, 527, 685, 852], [50, 797, 915, 990], [79, 227, 751, 941], [86, 608, 707, 807], [88, 689, 698, 951], [111, 424, 772, 849], [127, 793, 832, 887], [280, 733, 865, 919], [407, 600, 635, 705], [438, 622, 667, 874], [455, 621, 902, 991], [458, 485, 571, 754, 942], [463, 489, 724, 791], [483, 638, 719, 993], [523, 526, 893, 982], [561, 928, 936, 965], [568, 917, 973, 989], [582, 674, 911, 922, 948, 987], [636, 760, 814, 850], [644, 649, 853, 877], [737, 964], [808, 812, 847, 985]]\n",
      "[[0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], [0.0, 0.0, 0.32, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.32, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.24242424242424243, 0.0, 0.0], [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.24242424242424243, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.25, 0.0, 0.0, 0.0, 0.0, 0.25, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.3076923076923077, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.32, 0.0, 0.0, 0.0], [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 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\n",
      "text/plain": [
       "<Figure size 576x576 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Non-zero values average: 0.205592\n",
      "---------------------------------------\n"
     ]
    }
   ],
   "source": [
    "ratio_A_n_kcliq_4, avg_A_n_kcliq_4 = [], []\n",
    "for i in range(len(gs)):\n",
    "    com_kcliq_4 = get_comms(gs[i], \"nkcliq4\")\n",
    "    print(\"Number of communities in %s graph: %s\" % (gnames[i], len(com_kcliq_4)))\n",
    "    print(\"K-Clique Communities (k=4):\")\n",
    "    print(sorted(com_kcliq_4))\n",
    "    r_A_n_kcliq_4 = seq_match(com_A[i], com_kcliq_4)\n",
    "    print(r_A_n_kcliq_4)\n",
    "    ratio_A_n_kcliq_4.append(r_A_n_kcliq_4)\n",
    "    plt.figure(figsize=(8,8))\n",
    "    plt.imshow(r_A_n_kcliq_4, cmap=plt.cm.Purples, interpolation='nearest')\n",
    "    plt.show()\n",
    "    a_A_n_kcliq_4 = nonzeroavg(r_A_n_kcliq_4)\n",
    "    print(\"Non-zero values average: %f\" % a_A_n_kcliq_4)\n",
    "    avg_A_n_kcliq_4.append(a_A_n_kcliq_4)\n",
    "    print(sprtr)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 75,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "graph: test75\n",
      "Sequental matching ratio: 0.727273\n",
      "Index: 3 - 0\n",
      "[26, 30, 38, 48, 58, 61, 69, 73]\n",
      "[9, 10, 14, 23, 26, 29, 30, 38, 48, 58, 61, 69, 73, 74]\n",
      "----------------------\n",
      "Sequental matching ratio: 0.545455\n",
      "Index: 5 - 1\n",
      "[39, 53, 66]\n",
      "[2, 5, 19, 39, 53, 56, 65, 66]\n",
      "----------------------\n",
      "Sequental matching ratio: 0.461538\n",
      "Index: 9 - 2\n",
      "[7, 32, 72]\n",
      "[4, 7, 12, 22, 25, 32, 33, 50, 71, 72]\n",
      "----------------------\n",
      "Sequental matching ratio: 0.428571\n",
      "Index: 4 - 4\n",
      "[2, 34, 51, 67, 68, 74]\n",
      "[6, 18, 34, 41, 42, 59, 67, 68]\n",
      "----------------------\n",
      "Sequental matching ratio: 0.428571\n",
      "Index: 8 - 5\n",
      "[43, 45, 50, 52, 62, 63, 64, 65, 70, 71]\n",
      "[3, 8, 13, 15, 16, 17, 20, 43, 47, 51, 52, 57, 60, 62, 63, 64, 70, 75]\n",
      "----------------------\n",
      "Sequental matching ratio: 0.400000\n",
      "Index: 4 - 3\n",
      "[42, 59]\n",
      "[6, 18, 34, 41, 42, 59, 67, 68]\n",
      "----------------------\n",
      "Sequental matching ratio: 0.387097\n",
      "Index: 2 - 4\n",
      "[2, 34, 51, 67, 68, 74]\n",
      "[2, 7, 9, 14, 18, 21, 22, 24, 25, 28, 32, 33, 34, 38, 41, 51, 53, 54, 60, 63, 64, 65, 67, 68, 74]\n",
      "----------------------\n",
      "Sequental matching ratio: 0.363636\n",
      "Index: 0 - 0\n",
      "[26, 30, 38, 48, 58, 61, 69, 73]\n",
      "[3, 4, 5, 6, 8, 12, 13, 17, 20, 26, 27, 29, 30, 31, 35, 36, 39, 40, 48, 49, 58, 62, 69, 72, 73]\n",
      "----------------------\n",
      "Sequental matching ratio: 0.363636\n",
      "Index: 8 - 6\n",
      "[47, 57, 60, 75]\n",
      "[3, 8, 13, 15, 16, 17, 20, 43, 47, 51, 52, 57, 60, 62, 63, 64, 70, 75]\n",
      "----------------------\n",
      "Sequental matching ratio: 0.342857\n",
      "Index: 1 - 5\n",
      "[43, 45, 50, 52, 62, 63, 64, 65, 70, 71]\n",
      "[1, 10, 11, 15, 16, 19, 23, 37, 42, 43, 44, 45, 46, 47, 50, 52, 55, 56, 57, 59, 61, 66, 70, 71, 75]\n",
      "----------------------\n",
      "Sequental matching ratio: 0.206897\n",
      "Index: 1 - 6\n",
      "[47, 57, 60, 75]\n",
      "[1, 10, 11, 15, 16, 19, 23, 37, 42, 43, 44, 45, 46, 47, 50, 52, 55, 56, 57, 59, 61, 66, 70, 71, 75]\n",
      "----------------------\n",
      "graph: test100\n",
      "Sequental matching ratio: 0.875000\n",
      "Index: 10 - 4\n",
      "[21, 28, 50, 52, 60, 75, 81]\n",
      "[2, 14, 21, 28, 50, 52, 60, 75, 81]\n",
      "----------------------\n",
      "Sequental matching ratio: 0.727273\n",
      "Index: 9 - 1\n",
      "[24, 45, 56, 70]\n",
      "[6, 10, 13, 24, 45, 56, 70]\n",
      "----------------------\n",
      "Sequental matching ratio: 0.666667\n",
      "Index: 4 - 2\n",
      "[8, 34, 41, 97]\n",
      "[8, 19, 22, 34, 41]\n",
      "----------------------\n",
      "Sequental matching ratio: 0.583333\n",
      "Index: 8 - 0\n",
      "[1, 15, 16, 17, 20, 25, 27, 35, 36, 39, 44, 46, 47, 48, 49, 51, 53, 54, 55, 58, 59, 61, 62, 63, 64, 65, 66, 67, 68, 69, 71, 72, 73, 74, 76, 77, 78, 79, 80, 82, 83, 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 96, 99, 100]\n",
      "[3, 5, 7, 11, 12, 16, 20, 30, 31, 35, 37, 38, 42, 47, 48, 49, 55, 57, 58, 61, 62, 63, 64, 72, 74, 76, 77, 78, 80, 83, 84, 85, 86, 90, 91, 92, 93, 94, 97, 98, 100]\n",
      "----------------------\n",
      "Sequental matching ratio: 0.493827\n",
      "Index: 1 - 0\n",
      "[1, 15, 16, 17, 20, 25, 27, 35, 36, 39, 44, 46, 47, 48, 49, 51, 53, 54, 55, 58, 59, 61, 62, 63, 64, 65, 66, 67, 68, 69, 71, 72, 73, 74, 76, 77, 78, 79, 80, 82, 83, 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 96, 99, 100]\n",
      "[1, 2, 6, 15, 17, 25, 27, 28, 39, 43, 44, 46, 50, 52, 54, 62, 63, 67, 72, 78, 80, 84, 86, 92, 99, 100]\n",
      "----------------------\n",
      "Sequental matching ratio: 0.444444\n",
      "Index: 11 - 3\n",
      "[9, 40, 95, 98]\n",
      "[9, 26, 29, 40, 43]\n",
      "----------------------\n",
      "Sequental matching ratio: 0.421053\n",
      "Index: 5 - 0\n",
      "[1, 15, 16, 17, 20, 25, 27, 35, 36, 39, 44, 46, 47, 48, 49, 51, 53, 54, 55, 58, 59, 61, 62, 63, 64, 65, 66, 67, 68, 69, 71, 72, 73, 74, 76, 77, 78, 79, 80, 82, 83, 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 96, 99, 100]\n",
      "[4, 15, 17, 18, 23, 33, 46, 54, 59, 65, 66, 67, 73, 79, 82, 87, 88, 89, 95, 96, 99]\n",
      "----------------------\n",
      "Sequental matching ratio: 0.405063\n",
      "Index: 3 - 0\n",
      "[1, 15, 16, 17, 20, 25, 27, 35, 36, 39, 44, 46, 47, 48, 49, 51, 53, 54, 55, 58, 59, 61, 62, 63, 64, 65, 66, 67, 68, 69, 71, 72, 73, 74, 76, 77, 78, 79, 80, 82, 83, 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 96, 99, 100]\n",
      "[9, 20, 21, 22, 35, 36, 40, 47, 49, 51, 53, 55, 56, 60, 64, 69, 71, 74, 82, 85, 94, 95, 96, 98]\n",
      "----------------------\n",
      "Sequental matching ratio: 0.303797\n",
      "Index: 2 - 0\n",
      "[1, 15, 16, 17, 20, 25, 27, 35, 36, 39, 44, 46, 47, 48, 49, 51, 53, 54, 55, 58, 59, 61, 62, 63, 64, 65, 66, 67, 68, 69, 71, 72, 73, 74, 76, 77, 78, 79, 80, 82, 83, 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 96, 99, 100]\n",
      "[7, 11, 14, 16, 19, 23, 30, 31, 37, 42, 45, 57, 58, 59, 61, 65, 66, 68, 77, 79, 81, 90, 91, 93]\n",
      "----------------------\n",
      "Sequental matching ratio: 0.285714\n",
      "Index: 3 - 3\n",
      "[9, 40, 95, 98]\n",
      "[9, 20, 21, 22, 35, 36, 40, 47, 49, 51, 53, 55, 56, 60, 64, 69, 71, 74, 82, 85, 94, 95, 96, 98]\n",
      "----------------------\n",
      "Sequental matching ratio: 0.266667\n",
      "Index: 0 - 2\n",
      "[8, 34, 41, 97]\n",
      "[3, 4, 5, 8, 10, 12, 13, 18, 24, 26, 29, 32, 33, 34, 38, 41, 48, 70, 73, 75, 76, 83, 87, 88, 89, 97]\n",
      "----------------------\n",
      "graph: test400\n",
      "Sequental matching ratio: 1.000000\n",
      "Index: 10 - 2\n",
      "[5, 9, 27, 30, 37, 45, 50, 54, 58, 65, 69, 74, 76, 77, 80, 81, 90, 97, 99, 103, 133, 162]\n",
      "[5, 9, 27, 30, 37, 45, 50, 54, 58, 65, 69, 74, 76, 77, 80, 81, 90, 97, 99, 103, 133, 162]\n",
      "----------------------\n",
      "Sequental matching ratio: 1.000000\n",
      "Index: 11 - 15\n",
      "[1, 4, 6, 21, 22, 24, 28, 35, 38, 42, 43, 44, 68, 78, 88, 93, 94, 95, 105, 108, 113, 145]\n",
      "[1, 4, 6, 21, 22, 24, 28, 35, 38, 42, 43, 44, 68, 78, 88, 93, 94, 95, 105, 108, 113, 145]\n",
      "----------------------\n",
      "Sequental matching ratio: 0.981132\n",
      "Index: 5 - 19\n",
      "[20, 56, 116, 124, 143, 146, 155, 158, 182, 204, 210, 227, 230, 235, 238, 239, 240, 259, 279, 280, 285, 287, 288, 306, 314, 316]\n",
      "[20, 56, 116, 124, 143, 146, 155, 158, 182, 204, 210, 227, 230, 235, 238, 239, 240, 259, 279, 280, 285, 287, 288, 291, 306, 314, 316]\n",
      "----------------------\n",
      "Sequental matching ratio: 0.954545\n",
      "Index: 12 - 10\n",
      "[10, 16, 36, 41, 46, 57, 63, 67, 70, 79, 101, 128, 130, 141, 142, 154, 156, 163, 165, 185, 195]\n",
      "[10, 16, 19, 36, 41, 46, 55, 57, 63, 67, 70, 79, 101, 128, 130, 141, 142, 154, 156, 163, 165, 185, 195]\n",
      "----------------------\n",
      "Sequental matching ratio: 0.936170\n",
      "Index: 13 - 11\n",
      "[7, 12, 13, 29, 47, 52, 75, 104, 107, 110, 111, 132, 160, 166, 173, 180, 201, 208, 217, 231, 271, 275]\n",
      "[7, 12, 13, 29, 47, 48, 52, 75, 104, 107, 110, 111, 132, 160, 166, 173, 174, 180, 190, 201, 208, 217, 231, 271, 275]\n",
      "----------------------\n",
      "Sequental matching ratio: 0.933333\n",
      "Index: 6 - 3\n",
      "[15, 18, 59, 71, 73, 91, 112, 126, 138, 151, 153, 157, 161, 169, 172, 176, 177, 179, 183, 188, 218]\n",
      "[15, 18, 59, 71, 73, 91, 112, 126, 129, 138, 151, 153, 157, 161, 169, 172, 176, 177, 179, 183, 188, 211, 218, 219]\n",
      "----------------------\n",
      "Sequental matching ratio: 0.925926\n",
      "Index: 1 - 13\n",
      "[25, 31, 34, 64, 82, 83, 98, 114, 117, 134, 135, 202, 232, 233, 234, 242, 249, 256, 258, 264, 272, 273, 292, 304, 310, 335, 377]\n",
      "[25, 31, 34, 64, 82, 83, 98, 114, 117, 134, 135, 202, 225, 232, 233, 234, 242, 249, 256, 258, 264, 272, 273, 292, 299, 304, 310]\n",
      "----------------------\n",
      "Sequental matching ratio: 0.920000\n",
      "Index: 7 - 0\n",
      "[2, 8, 32, 62, 92, 121, 122, 127, 139, 140, 152, 214, 243, 245, 248, 281, 289, 290, 298, 303, 308, 312, 327]\n",
      "[2, 8, 32, 62, 92, 121, 122, 127, 139, 140, 152, 214, 216, 243, 245, 248, 261, 267, 281, 289, 290, 298, 300, 303, 308, 312, 327]\n",
      "----------------------\n",
      "Sequental matching ratio: 0.893617\n",
      "Index: 4 - 1\n",
      "[14, 26, 39, 40, 53, 66, 89, 125, 144, 148, 175, 184, 186, 189, 191, 192, 207, 224, 226, 269, 270]\n",
      "[14, 26, 39, 40, 53, 66, 89, 125, 144, 148, 175, 184, 186, 189, 191, 192, 206, 207, 224, 226, 228, 247, 269, 270, 284, 309]\n",
      "----------------------\n",
      "Sequental matching ratio: 0.888889\n",
      "Index: 28 - 16\n",
      "[164, 170, 228, 309]\n",
      "[50, 164, 170, 228, 309]\n",
      "----------------------\n",
      "Sequental matching ratio: 0.880000\n",
      "Index: 0 - 12\n",
      "[51, 100, 131, 149, 209, 212, 221, 222, 236, 266, 274, 293, 294, 295, 296, 297, 315, 317, 324, 331, 334, 356]\n",
      "[51, 100, 131, 149, 209, 212, 221, 222, 236, 266, 274, 278, 293, 294, 295, 296, 297, 315, 317, 319, 324, 330, 331, 332, 334, 343, 356, 364]\n",
      "----------------------\n",
      "Sequental matching ratio: 0.857143\n",
      "Index: 14 - 7\n",
      "[23, 85, 123, 137, 150, 187, 199, 200, 237, 244, 260, 265, 301, 302, 313, 323, 326, 333, 342, 344, 345, 346, 349, 367, 373, 379, 384, 395]\n",
      "[23, 85, 123, 137, 150, 187, 199, 200, 237, 244, 250, 251, 260, 265, 301, 302, 307, 313, 323, 326, 333, 335, 342, 344, 345, 349, 367, 373]\n",
      "----------------------\n",
      "Sequental matching ratio: 0.857143\n",
      "Index: 18 - 20\n",
      "[215, 261, 284, 311, 352, 359]\n",
      "[15, 162, 215, 261, 284, 311, 352, 359]\n",
      "----------------------\n",
      "Sequental matching ratio: 0.842105\n",
      "Index: 8 - 9\n",
      "[17, 60, 120, 147, 159, 211, 213, 223, 229, 246, 253, 254, 255, 257, 268, 276, 277, 282, 321, 322, 325, 329, 348, 350, 354, 358, 360, 370, 378]\n",
      "[17, 60, 120, 147, 159, 213, 223, 229, 246, 253, 254, 257, 268, 276, 277, 282, 286, 305, 321, 322, 325, 337, 348, 350, 358, 359, 360, 370]\n",
      "----------------------\n",
      "Sequental matching ratio: 0.666667\n",
      "Index: 19 - 23\n",
      "[291, 305, 332, 380]\n",
      "[14, 35, 53, 154, 291, 305, 332, 380]\n",
      "----------------------\n",
      "Sequental matching ratio: 0.465116\n",
      "Index: 52 - 21\n",
      "[300, 339, 363, 364]\n",
      "[1, 26, 156, 294, 300, 339, 363, 364]\n",
      "----------------------\n",
      "Sequental matching ratio: 0.461538\n",
      "Index: 61 - 18\n",
      "[216, 278, 337, 381]\n",
      "[18, 33, 85, 116, 216, 278, 337, 381]\n",
      "----------------------\n",
      "Sequental matching ratio: 0.400000\n",
      "Index: 9 - 6\n",
      "[11, 33, 61, 72, 86, 87, 96, 102, 115, 118, 119, 136, 167, 171, 178, 181, 193, 194, 197, 198, 203, 206, 247, 320, 336, 347, 351, 361, 368, 372, 374, 376, 382, 386, 387, 389, 390, 391, 392, 393, 394, 396, 397, 399, 400]\n",
      "[346, 347, 351, 352, 355, 357, 361, 362, 363, 365, 368, 369, 371, 372, 374, 375, 376, 377, 378, 379, 380, 381, 382, 383, 384, 385, 386, 387, 388, 389, 390, 391, 392, 393, 394, 395, 396, 397, 398, 399, 400]\n",
      "----------------------\n",
      "Sequental matching ratio: 0.315789\n",
      "Index: 49 - 17\n",
      "[252, 343, 388]\n",
      "[54, 82, 163, 242, 252, 279, 316, 335, 343, 388]\n",
      "----------------------\n",
      "Sequental matching ratio: 0.210526\n",
      "Index: 38 - 4\n",
      "[129, 267]\n",
      "[12, 99, 129, 150, 238, 267, 331, 367]\n",
      "----------------------\n",
      "graph: test1000\n",
      "Sequental matching ratio: 0.400000\n",
      "Index: 26 - 9\n",
      "[458, 485, 571, 754, 942]\n",
      "[35, 121, 186, 251, 316, 325, 352, 403, 420, 458, 485, 503, 571, 577, 607, 643, 684, 754, 942, 981]\n",
      "----------------------\n",
      "Sequental matching ratio: 0.400000\n",
      "Index: 30 - 5\n",
      "[21, 379, 527, 685, 852]\n",
      "[21, 29, 228, 253, 279, 287, 324, 379, 414, 421, 423, 472, 504, 522, 527, 652, 685, 686, 753, 852]\n",
      "----------------------\n",
      "Sequental matching ratio: 0.363636\n",
      "Index: 20 - 1\n",
      "[582, 674, 911, 922, 948, 987]\n",
      "[67, 85, 195, 206, 302, 310, 340, 346, 348, 399, 407, 430, 440, 494, 543, 582, 600, 630, 635, 674, 705, 721, 769, 911, 922, 948, 987]\n",
      "----------------------\n",
      "Sequental matching ratio: 0.320000\n",
      "Index: 2 - 2\n",
      "[88, 689, 698, 951]\n",
      "[79, 88, 156, 162, 201, 227, 234, 278, 479, 542, 611, 689, 698, 735, 751, 766, 803, 860, 923, 941, 951]\n",
      "----------------------\n",
      "Sequental matching ratio: 0.320000\n",
      "Index: 7 - 18\n",
      "[523, 526, 893, 982]\n",
      "[2, 24, 26, 64, 168, 209, 263, 387, 395, 523, 526, 590, 757, 759, 773, 777, 778, 811, 871, 893, 982]\n",
      "----------------------\n",
      "Sequental matching ratio: 0.320000\n",
      "Index: 22 - 4\n",
      "[561, 928, 936, 965]\n",
      "[50, 212, 283, 354, 419, 426, 465, 561, 585, 639, 737, 788, 789, 797, 810, 915, 928, 936, 964, 965, 990]\n",
      "----------------------\n",
      "Sequental matching ratio: 0.320000\n",
      "Index: 6 - 7\n",
      "[463, 489, 724, 791]\n",
      "[55, 58, 92, 210, 336, 342, 463, 489, 533, 536, 570, 581, 615, 665, 668, 724, 748, 791, 806, 848, 913, 945]\n",
      "----------------------\n",
      "Sequental matching ratio: 0.320000\n",
      "Index: 36 - 20\n",
      "[568, 917, 973, 989]\n",
      "[17, 18, 40, 84, 202, 203, 299, 313, 331, 385, 442, 474, 529, 552, 568, 591, 606, 656, 670, 755, 917, 920, 973, 989]\n",
      "----------------------\n",
      "Sequental matching ratio: 0.307692\n",
      "Index: 17 - 3\n",
      "[808, 812, 847, 985]\n",
      "[61, 71, 91, 97, 119, 122, 125, 143, 229, 359, 384, 477, 506, 625, 631, 680, 692, 703, 808, 812, 826, 847, 894, 958, 985]\n",
      "----------------------\n",
      "Sequental matching ratio: 0.285714\n",
      "Index: 20 - 0\n",
      "[407, 600, 635, 705]\n",
      "[67, 85, 195, 206, 302, 310, 340, 346, 348, 399, 407, 430, 440, 494, 543, 582, 600, 630, 635, 674, 705, 721, 769, 911, 922, 948, 987]\n",
      "----------------------\n",
      "Sequental matching ratio: 0.275862\n",
      "Index: 27 - 6\n",
      "[483, 638, 719, 993]\n",
      "[36, 42, 104, 138, 146, 160, 249, 323, 349, 405, 462, 483, 484, 508, 534, 597, 638, 676, 694, 719, 829, 831, 886, 901, 906, 918, 993]\n",
      "----------------------\n",
      "Sequental matching ratio: 0.258065\n",
      "Index: 5 - 10\n",
      "[280, 733, 865, 919]\n",
      "[1, 117, 151, 183, 217, 233, 280, 282, 308, 439, 455, 578, 621, 657, 699, 733, 756, 761, 764, 842, 865, 869, 896, 902, 909, 919, 968, 991]\n",
      "----------------------\n",
      "Sequental matching ratio: 0.258065\n",
      "Index: 32 - 11\n",
      "[111, 424, 772, 849]\n",
      "[10, 38, 59, 111, 142, 173, 197, 207, 208, 219, 238, 294, 329, 392, 415, 424, 544, 546, 587, 640, 772, 849, 879, 889, 929, 955, 983, 995]\n",
      "----------------------\n",
      "Sequental matching ratio: 0.250000\n",
      "Index: 3 - 19\n",
      "[438, 622, 667, 874]\n",
      "[81, 158, 165, 166, 261, 277, 291, 326, 328, 343, 393, 406, 438, 459, 501, 535, 622, 655, 667, 675, 742, 747, 770, 787, 804, 836, 870, 874, 882]\n",
      "----------------------\n",
      "Sequental matching ratio: 0.250000\n",
      "Index: 4 - 13\n",
      "[86, 608, 707, 807]\n",
      "[37, 49, 57, 86, 105, 120, 198, 281, 317, 468, 497, 521, 538, 541, 547, 557, 584, 586, 605, 608, 617, 671, 707, 730, 744, 774, 807, 975, 998]\n",
      "----------------------\n",
      "Sequental matching ratio: 0.250000\n",
      "Index: 16 - 8\n",
      "[127, 793, 832, 887]\n",
      "[66, 127, 131, 230, 252, 268, 314, 345, 389, 436, 460, 495, 515, 564, 580, 623, 664, 734, 765, 768, 786, 793, 815, 832, 838, 857, 887, 949, 963]\n",
      "----------------------\n",
      "Sequental matching ratio: 0.242424\n",
      "Index: 41 - 0\n",
      "[407, 600, 635, 705]\n",
      "[3, 5, 10, 16, 21, 23, 24, 27, 28, 32, 33, 35, 36, 40, 42, 45, 47, 48, 50, 51, 54, 58, 64, 71, 72, 73, 76, 79, 84, 86, 88, 100, 108, 109, 110, 121, 127, 134, 135, 138, 140, 142, 145, 150, 151, 153, 155, 159, 161, 164, 165, 170, 173, 178, 181, 185, 186, 190, 192, 194, 195, 197, 202, 206, 207, 214, 216, 218, 219, 224, 225, 228, 230, 231, 237, 239, 246, 247, 249, 251, 253, 259, 264, 265, 266, 273, 278, 281, 284, 290, 291, 292, 294, 296, 297, 301, 306, 307, 309, 312, 313, 317, 322, 329, 330, 337, 344, 350, 352, 354, 357, 358, 363, 369, 373, 380, 388, 395, 400, 401, 405, 408, 412, 414, 418, 419, 420, 424, 425, 430, 431, 433, 440, 442, 443, 451, 452, 453, 459, 463, 466, 472, 474, 478, 479, 485, 487, 488, 492, 493, 498, 499, 500, 507, 517, 519, 528, 529, 531, 539, 542, 543, 555, 557, 559, 562, 564, 573, 578, 580, 581, 589, 593, 594, 598, 599, 600, 607, 608, 615, 620, 626, 627, 633, 635, 636, 642, 645, 646, 653, 654, 658, 662, 663, 667, 669, 672, 675, 676, 680, 681, 682, 688, 691, 695, 697, 700, 706, 711, 716, 719, 721, 726, 727, 730, 733, 734, 740, 747, 751, 758, 759, 760, 761, 764, 767, 772, 773, 774, 784, 791, 793, 794, 795, 796, 797, 800, 801, 802, 811, 814, 831, 834, 836, 840, 842, 848, 850, 855, 856, 857, 858, 860, 862, 865, 866, 872, 873, 875, 876, 882, 894, 896, 897, 899, 900, 906, 907, 915, 916, 922, 927, 931, 934, 940, 947, 953, 954, 959, 960, 965, 966, 971, 972, 975, 978, 979, 981, 985, 988, 990, 991, 993, 997]\n",
      "----------------------\n",
      "Sequental matching ratio: 0.242424\n",
      "Index: 40 - 8\n",
      "[127, 793, 832, 887]\n",
      "[11, 12, 15, 17, 18, 20, 22, 26, 29, 30, 37, 38, 41, 43, 44, 52, 53, 56, 57, 63, 74, 75, 80, 85, 90, 91, 95, 98, 104, 106, 112, 113, 114, 115, 117, 119, 120, 122, 123, 125, 128, 129, 130, 136, 137, 141, 144, 148, 152, 154, 156, 160, 162, 163, 166, 168, 169, 171, 175, 177, 187, 188, 189, 196, 198, 200, 201, 203, 210, 212, 222, 226, 229, 233, 242, 243, 248, 250, 252, 257, 258, 270, 274, 276, 282, 285, 286, 288, 295, 300, 305, 308, 320, 324, 331, 338, 339, 340, 341, 342, 343, 345, 347, 348, 351, 355, 365, 370, 376, 378, 379, 381, 384, 387, 389, 391, 393, 394, 396, 398, 406, 411, 415, 416, 422, 426, 427, 432, 434, 439, 444, 447, 458, 460, 461, 467, 473, 482, 483, 490, 491, 496, 502, 505, 506, 510, 512, 513, 515, 516, 526, 530, 534, 547, 549, 550, 551, 552, 553, 556, 558, 560, 561, 563, 566, 567, 568, 569, 570, 571, 572, 574, 575, 577, 583, 586, 588, 590, 592, 601, 603, 613, 617, 619, 624, 625, 628, 629, 630, 631, 632, 634, 637, 639, 641, 649, 652, 655, 659, 661, 671, 677, 683, 690, 693, 698, 699, 701, 702, 708, 713, 714, 723, 725, 728, 737, 741, 743, 748, 752, 753, 755, 762, 768, 775, 781, 783, 786, 790, 792, 798, 799, 803, 808, 809, 810, 813, 817, 818, 820, 821, 822, 824, 827, 828, 832, 833, 839, 841, 843, 844, 845, 846, 859, 868, 869, 879, 881, 883, 884, 885, 886, 887, 890, 891, 898, 902, 903, 908, 910, 912, 913, 918, 921, 926, 928, 929, 935, 936, 937, 939, 943, 946, 948, 952, 956, 957, 968, 970, 974, 976, 980, 982, 983, 984, 989, 999, 1000]\n",
      "----------------------\n",
      "Sequental matching ratio: 0.242424\n",
      "Index: 41 - 2\n",
      "[88, 689, 698, 951]\n",
      "[3, 5, 10, 16, 21, 23, 24, 27, 28, 32, 33, 35, 36, 40, 42, 45, 47, 48, 50, 51, 54, 58, 64, 71, 72, 73, 76, 79, 84, 86, 88, 100, 108, 109, 110, 121, 127, 134, 135, 138, 140, 142, 145, 150, 151, 153, 155, 159, 161, 164, 165, 170, 173, 178, 181, 185, 186, 190, 192, 194, 195, 197, 202, 206, 207, 214, 216, 218, 219, 224, 225, 228, 230, 231, 237, 239, 246, 247, 249, 251, 253, 259, 264, 265, 266, 273, 278, 281, 284, 290, 291, 292, 294, 296, 297, 301, 306, 307, 309, 312, 313, 317, 322, 329, 330, 337, 344, 350, 352, 354, 357, 358, 363, 369, 373, 380, 388, 395, 400, 401, 405, 408, 412, 414, 418, 419, 420, 424, 425, 430, 431, 433, 440, 442, 443, 451, 452, 453, 459, 463, 466, 472, 474, 478, 479, 485, 487, 488, 492, 493, 498, 499, 500, 507, 517, 519, 528, 529, 531, 539, 542, 543, 555, 557, 559, 562, 564, 573, 578, 580, 581, 589, 593, 594, 598, 599, 600, 607, 608, 615, 620, 626, 627, 633, 635, 636, 642, 645, 646, 653, 654, 658, 662, 663, 667, 669, 672, 675, 676, 680, 681, 682, 688, 691, 695, 697, 700, 706, 711, 716, 719, 721, 726, 727, 730, 733, 734, 740, 747, 751, 758, 759, 760, 761, 764, 767, 772, 773, 774, 784, 791, 793, 794, 795, 796, 797, 800, 801, 802, 811, 814, 831, 834, 836, 840, 842, 848, 850, 855, 856, 857, 858, 860, 862, 865, 866, 872, 873, 875, 876, 882, 894, 896, 897, 899, 900, 906, 907, 915, 916, 922, 927, 931, 934, 940, 947, 953, 954, 959, 960, 965, 966, 971, 972, 975, 978, 979, 981, 985, 988, 990, 991, 993, 997]\n",
      "----------------------\n"
     ]
    }
   ],
   "source": [
    "limiter = 0.2\n",
    "for i in range(len(gs)):\n",
    "    print(\"graph: %s\" % gnames[i])\n",
    "    getHighestRatios(ratio_A_n_kcliq_4[i], 25, com_A[i], get_comms(gs[i], \"nkcliq4\"), limiter)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 45,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Number of communities in test75 graph: 1\n",
      "Fast-Greedy Communities:\n",
      "[[1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75]]\n",
      "[[0.5], [0.5], [0.5], [0.3146067415730337], [0.1927710843373494], [0.1927710843373494], [0.125], [0.17073170731707318], [0.3870967741935484], [0.23529411764705882], [0.125]]\n"
     ]
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 864x864 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Non-zero values average: 0.294843\n",
      "---------------------------------------\n",
      "Number of communities in test100 graph: 1\n",
      "Fast-Greedy Communities:\n",
      "[[1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 96, 97, 98, 99, 100]]\n",
      "[[0.4126984126984127], [0.4126984126984127], [0.3870967741935484], [0.3870967741935484], [0.09523809523809523], [0.34710743801652894], [0.09523809523809523], [0.1308411214953271], [0.5815602836879432], [0.1308411214953271], [0.1651376146788991], [0.09523809523809523]]\n"
     ]
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 864x864 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Non-zero values average: 0.270066\n",
      "---------------------------------------\n",
      "Number of communities in test400 graph: 6\n",
      "Fast-Greedy Communities:\n",
      "[[1, 4, 6, 21, 22, 24, 28, 35, 38, 42, 43, 44, 68, 78, 88, 93, 94, 95, 105, 108, 113, 145], [2, 3, 7, 8, 12, 13, 14, 17, 20, 23, 25, 26, 29, 31, 32, 34, 39, 40, 47, 48, 49, 51, 52, 53, 56, 60, 62, 64, 66, 75, 82, 83, 84, 85, 89, 92, 98, 100, 104, 106, 107, 109, 110, 111, 114, 116, 117, 120, 121, 122, 123, 124, 125, 127, 131, 132, 134, 135, 137, 139, 140, 143, 144, 146, 147, 148, 149, 150, 152, 155, 158, 159, 160, 166, 168, 173, 174, 175, 180, 182, 184, 186, 187, 189, 190, 191, 192, 196, 199, 200, 201, 202, 204, 205, 206, 207, 208, 209, 210, 212, 213, 214, 215, 216, 217, 221, 222, 223, 224, 225, 226, 227, 228, 229, 230, 231, 232, 233, 234, 235, 236, 237, 238, 239, 240, 241, 242, 243, 244, 245, 246, 247, 248, 249, 250, 251, 252, 253, 254, 255, 256, 257, 258, 259, 260, 261, 262, 263, 264, 265, 266, 267, 268, 269, 270, 271, 272, 273, 274, 275, 276, 277, 278, 279, 280, 281, 282, 283, 284, 285, 286, 287, 288, 289, 290, 291, 292, 293, 294, 295, 296, 297, 298, 299, 300, 301, 302, 303, 304, 305, 306, 307, 308, 309, 310, 311, 312, 313, 314, 315, 316, 317, 318, 319, 320, 321, 322, 323, 324, 325, 326, 327, 328, 329, 330, 331, 332, 333, 334, 335, 336, 337, 338, 339, 340, 341, 342, 343, 344, 345, 346, 347, 348, 349, 350, 351, 352, 353, 354, 355, 356, 357, 358, 359, 360, 361, 362, 363, 364, 365, 366, 367, 368, 369, 370, 371, 372, 373, 374, 375, 376, 377, 378, 379, 380, 381, 382, 383, 384, 385, 386, 387, 388, 389, 390, 391, 392, 393, 394, 395, 396, 397, 398, 399, 400], [5, 9, 27, 30, 37, 45, 50, 54, 58, 65, 69, 74, 76, 77, 80, 81, 90, 97, 99, 103, 133, 162], [10, 16, 19, 36, 41, 46, 55, 57, 63, 67, 70, 79, 101, 128, 130, 141, 142, 154, 156, 163, 165, 185, 195], [11, 33, 61, 72, 86, 87, 96, 102, 115, 118, 119, 136, 164, 167, 170, 171, 178, 181, 193, 194, 197, 198, 203, 220], [15, 18, 59, 71, 73, 91, 112, 126, 129, 138, 151, 153, 157, 161, 169, 172, 176, 177, 179, 183, 188, 211, 218, 219]]\n",
      "[[0.17891373801916932, 0.0, 0.0, 0.0, 0.0, 0.0], [0.17307692307692307, 0.0, 0.0, 0.0, 0.0, 0.0], [0.0, 0.0, 1.0, 0.0, 0.0, 0.0], [0.17891373801916932, 0.0, 0.0, 0.0, 0.0, 0.0], [0.16720257234726688, 0.0, 0.0, 0.0, 0.0, 0.0], [0.17307692307692307, 0.0, 0.0, 0.0, 0.0, 0.0], [0.0, 1.0, 0.0, 0.0, 0.0, 0.0], [0.17307692307692307, 0.0, 0.0, 0.0, 0.0, 0.0], [0.17891373801916932, 0.0, 0.0, 0.0, 0.0, 0.0], [0.25153374233128833, 0.0, 0.0, 0.0, 0.0, 0.0], [0.0, 0.0, 0.0, 0.0, 0.0, 1.0], [0.0, 0.0, 0.0, 0.0, 1.0, 0.0], [0.0, 0.0, 0.0, 1.0, 0.0, 0.0], [0.16129032258064516, 0.0, 0.0, 0.0, 0.0, 0.0], [0.17891373801916932, 0.0, 0.0, 0.0, 0.0, 0.0], [0.05423728813559322, 0.0, 0.0, 0.0, 0.0, 0.125], [0.04067796610169491, 0.058823529411764705, 0.0, 0.0, 0.125, 0.0625], [0.034013605442176874, 0.0, 0.18181818181818182, 0.0, 0.0, 0.06451612903225806], [0.040955631399317405, 0.0625, 0.0, 0.0, 0.0, 0.06666666666666667], [0.040955631399317405, 0.0, 0.0, 0.06451612903225806, 0.06666666666666667, 0.0], [0.06756756756756757, 0.0, 0.0, 0.058823529411764705, 0.0, 0.0], [0.04794520547945205, 0.0, 0.0, 0.0, 0.0, 0.0], [0.06060606060606061, 0.05555555555555555, 0.05555555555555555, 0.05714285714285714, 0.0, 0.0], [0.06734006734006734, 0.05555555555555555, 0.05555555555555555, 0.0, 0.0, 0.0], [0.027586206896551724, 0.06896551724137931, 0.0, 0.0, 0.0, 0.0], [0.027586206896551724, 0.0, 0.0, 0.0, 0.0, 0.07407407407407407], [0.07432432432432433, 0.0, 0.0, 0.0, 0.0, 0.0], [0.04081632653061224, 0.06060606060606061, 0.0, 0.125, 0.0, 0.0], [0.013793103448275862, 0.0, 0.13793103448275862, 0.0, 0.0, 0.07407407407407407], [0.05387205387205387, 0.0, 0.0, 0.11428571428571428, 0.11764705882352941, 0.0], [0.05405405405405406, 0.0, 0.05714285714285714, 0.0, 0.12121212121212122, 0.0], [0.020689655172413793, 0.06896551724137931, 0.0, 0.0, 0.07407407407407407, 0.0], [0.04067796610169491, 0.058823529411764705, 0.11764705882352941, 0.0, 0.0625, 0.0], [0.05405405405405406, 0.0, 0.05714285714285714, 0.0, 0.06060606060606061, 0.06060606060606061], [0.03367003367003367, 0.1111111111111111, 0.1111111111111111, 0.05714285714285714, 0.0, 0.11764705882352941], [0.047619047619047616, 0.0, 0.0, 0.0625, 0.06451612903225806, 0.0], [0.04067796610169491, 0.0, 0.0, 0.06060606060606061, 0.125, 0.0625], [0.0410958904109589, 0.0, 0.0, 0.0, 0.0, 0.06896551724137931], [0.040955631399317405, 0.0625, 0.0, 0.0, 0.0, 0.06666666666666667], [0.03436426116838488, 0.06666666666666667, 0.0, 0.0, 0.0, 0.0], [0.05423728813559322, 0.0, 0.0, 0.06060606060606061, 0.0625, 0.0], [0.04081632653061224, 0.12121212121212122, 0.0, 0.0625, 0.0, 0.0], [0.05442176870748299, 0.06060606060606061, 0.0, 0.0, 0.0, 0.0], [0.03436426116838488, 0.0, 0.0, 0.06896551724137931, 0.0, 0.0], [0.006896551724137931, 0.0, 0.0, 0.07142857142857142, 0.07407407407407407, 0.14814814814814814], [0.020689655172413793, 0.0, 0.0, 0.0, 0.07407407407407407, 0.07407407407407407], [0.013745704467353952, 0.13333333333333333, 0.13333333333333333, 0.0, 0.0, 0.0], [0.03436426116838488, 0.0, 0.0, 0.06896551724137931, 0.0, 0.0], [0.0472972972972973, 0.05714285714285714, 0.11428571428571428, 0.0, 0.0, 0.06060606060606061], [0.05423728813559322, 0.0, 0.0, 0.06060606060606061, 0.0, 0.0625], [0.0273972602739726, 0.0, 0.06451612903225806, 0.0, 0.13793103448275862, 0.0], [0.04778156996587031, 0.0, 0.0, 0.06451612903225806, 0.0, 0.0], [0.040955631399317405, 0.0, 0.0, 0.06451612903225806, 0.06666666666666667, 0.0], [0.06060606060606061, 0.0, 0.0, 0.05714285714285714, 0.058823529411764705, 0.058823529411764705], [0.034482758620689655, 0.0, 0.0, 0.0, 0.0, 0.0], [0.020618556701030927, 0.06666666666666667, 0.06666666666666667, 0.0, 0.07142857142857142, 0.0], [0.013745704467353952, 0.06666666666666667, 0.13333333333333333, 0.06896551724137931, 0.0, 0.0], [0.03424657534246575, 0.06451612903225806, 0.0, 0.0, 0.0, 0.06896551724137931], [0.04081632653061224, 0.06060606060606061, 0.06060606060606061, 0.0625, 0.0, 0.0], [0.04081632653061224, 0.0, 0.06060606060606061, 0.0625, 0.06451612903225806, 0.0], [0.05423728813559322, 0.058823529411764705, 0.0, 0.06060606060606061, 0.0, 0.0], [0.040955631399317405, 0.0625, 0.0625, 0.0, 0.0, 0.0], [0.020689655172413793, 0.0, 0.0, 0.0, 0.0, 0.14814814814814814]]\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x864 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Non-zero values average: 0.109723\n",
      "---------------------------------------\n",
      "Number of communities in test1000 graph: 1\n",
      "Fast-Greedy Communities:\n",
      "[[1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 96, 97, 98, 99, 100, 101, 102, 103, 104, 105, 106, 107, 108, 109, 110, 111, 112, 113, 114, 115, 116, 117, 118, 119, 120, 121, 122, 123, 124, 125, 126, 127, 128, 129, 130, 131, 132, 133, 134, 135, 136, 137, 138, 139, 140, 141, 142, 143, 144, 145, 146, 147, 148, 149, 150, 151, 152, 153, 154, 155, 156, 157, 158, 159, 160, 161, 162, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 180, 181, 182, 183, 184, 185, 186, 187, 188, 189, 190, 191, 192, 193, 194, 195, 196, 197, 198, 199, 200, 201, 202, 203, 204, 205, 206, 207, 208, 209, 210, 211, 212, 213, 214, 215, 216, 217, 218, 219, 220, 221, 222, 223, 224, 225, 226, 227, 228, 229, 230, 231, 232, 233, 234, 235, 236, 237, 238, 239, 240, 241, 242, 243, 244, 245, 246, 247, 248, 249, 250, 251, 252, 253, 254, 255, 256, 257, 258, 259, 260, 261, 262, 263, 264, 265, 266, 267, 268, 269, 270, 271, 272, 273, 274, 275, 276, 277, 278, 279, 280, 281, 282, 283, 284, 285, 286, 287, 288, 289, 290, 291, 292, 293, 294, 295, 296, 297, 298, 299, 300, 301, 302, 303, 304, 305, 306, 307, 308, 309, 310, 311, 312, 313, 314, 315, 316, 317, 318, 319, 320, 321, 322, 323, 324, 325, 326, 327, 328, 329, 330, 331, 332, 333, 334, 335, 336, 337, 338, 339, 340, 341, 342, 343, 344, 345, 346, 347, 348, 349, 350, 351, 352, 353, 354, 355, 356, 357, 358, 359, 360, 361, 362, 363, 364, 365, 366, 367, 368, 369, 370, 371, 372, 373, 374, 375, 376, 377, 378, 379, 380, 381, 382, 383, 384, 385, 386, 387, 388, 389, 390, 391, 392, 393, 394, 395, 396, 397, 398, 399, 400, 401, 402, 403, 404, 405, 406, 407, 408, 409, 410, 411, 412, 413, 414, 415, 416, 417, 418, 419, 420, 421, 422, 423, 424, 425, 426, 427, 428, 429, 430, 431, 432, 433, 434, 435, 436, 437, 438, 439, 440, 441, 442, 443, 444, 445, 446, 447, 448, 449, 450, 451, 452, 453, 454, 455, 456, 457, 458, 459, 460, 461, 462, 463, 464, 465, 466, 467, 468, 469, 470, 471, 472, 473, 474, 475, 476, 477, 478, 479, 480, 481, 482, 483, 484, 485, 486, 487, 488, 489, 490, 491, 492, 493, 494, 495, 496, 497, 498, 499, 500, 501, 502, 503, 504, 505, 506, 507, 508, 509, 510, 511, 512, 513, 514, 515, 516, 517, 518, 519, 520, 521, 522, 523, 524, 525, 526, 527, 528, 529, 530, 531, 532, 533, 534, 535, 536, 537, 538, 539, 540, 541, 542, 543, 544, 545, 546, 547, 548, 549, 550, 551, 552, 553, 554, 555, 556, 557, 558, 559, 560, 561, 562, 563, 564, 565, 566, 567, 568, 569, 570, 571, 572, 573, 574, 575, 576, 577, 578, 579, 580, 581, 582, 583, 584, 585, 586, 587, 588, 589, 590, 591, 592, 593, 594, 595, 596, 597, 598, 599, 600, 601, 602, 603, 604, 605, 606, 607, 608, 609, 610, 611, 612, 613, 614, 615, 616, 617, 618, 619, 620, 621, 622, 623, 624, 625, 626, 627, 628, 629, 630, 631, 632, 633, 634, 635, 636, 637, 638, 639, 640, 641, 642, 643, 644, 645, 646, 647, 648, 649, 650, 651, 652, 653, 654, 655, 656, 657, 658, 659, 660, 661, 662, 663, 664, 665, 666, 667, 668, 669, 670, 671, 672, 673, 674, 675, 676, 677, 678, 679, 680, 681, 682, 683, 684, 685, 686, 687, 688, 689, 690, 691, 692, 693, 694, 695, 696, 697, 698, 699, 700, 701, 702, 703, 704, 705, 706, 707, 708, 709, 710, 711, 712, 713, 714, 715, 716, 717, 718, 719, 720, 721, 722, 723, 724, 725, 726, 727, 728, 729, 730, 731, 732, 733, 734, 735, 736, 737, 738, 739, 740, 741, 742, 743, 744, 745, 746, 747, 748, 749, 750, 751, 752, 753, 754, 755, 756, 757, 758, 759, 760, 761, 762, 763, 764, 765, 766, 767, 768, 769, 770, 771, 772, 773, 774, 775, 776, 777, 778, 779, 780, 781, 782, 783, 784, 785, 786, 787, 788, 789, 790, 791, 792, 793, 794, 795, 796, 797, 798, 799, 800, 801, 802, 803, 804, 805, 806, 807, 808, 809, 810, 811, 812, 813, 814, 815, 816, 817, 818, 819, 820, 821, 822, 823, 824, 825, 826, 827, 828, 829, 830, 831, 832, 833, 834, 835, 836, 837, 838, 839, 840, 841, 842, 843, 844, 845, 846, 847, 848, 849, 850, 851, 852, 853, 854, 855, 856, 857, 858, 859, 860, 861, 862, 863, 864, 865, 866, 867, 868, 869, 870, 871, 872, 873, 874, 875, 876, 877, 878, 879, 880, 881, 882, 883, 884, 885, 886, 887, 888, 889, 890, 891, 892, 893, 894, 895, 896, 897, 898, 899, 900, 901, 902, 903, 904, 905, 906, 907, 908, 909, 910, 911, 912, 913, 914, 915, 916, 917, 918, 919, 920, 921, 922, 923, 924, 925, 926, 927, 928, 929, 930, 931, 932, 933, 934, 935, 936, 937, 938, 939, 940, 941, 942, 943, 944, 945, 946, 947, 948, 949, 950, 951, 952, 953, 954, 955, 956, 957, 958, 959, 960, 961, 962, 963, 964, 965, 966, 967, 968, 969, 970, 971, 972, 973, 974, 975, 976, 977, 978, 979, 980, 981, 982, 983, 984, 985, 986, 987, 988, 989, 990, 991, 992, 993, 994, 995, 996, 997, 998, 999, 1000]]\n",
      "[[0.050682261208576995], [0.043052837573385516], [0.04113614103819784], [0.056365403304178816], [0.056365403304178816], [0.054474708171206226], [0.043052837573385516], [0.04113614103819784], [0.056365403304178816], [0.04113614103819784], [0.05258033106134372], [0.044965786901270774], [0.05258033106134372], [0.04878048780487805], [0.050682261208576995], [0.04878048780487805], [0.056365403304178816], [0.04878048780487805], [0.05825242718446602], [0.044965786901270774], [0.05258033106134372], [0.05825242718446602], [0.04113614103819784], [0.05825242718446602], [0.06389157792836399], [0.04878048780487805], [0.0392156862745098], [0.05258033106134372], [0.050682261208576995], [0.04878048780487805], [0.0392156862745098], [0.056365403304178816], [0.054474708171206226], [0.05825242718446602], [0.05825242718446602], [0.05258033106134372], [0.046875], [0.0392156862745098], [0.0392156862745098], [0.5795454545454546], [0.4591679506933744], [0.45440494590417313]]\n"
     ]
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 864x864 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Non-zero values average: 0.081958\n",
      "---------------------------------------\n"
     ]
    }
   ],
   "source": [
    "ratio_A_fastgreedy, avg_A_fastgreedy = [], []\n",
    "for i in range(len(gs)):\n",
    "    com_fastgreedy = get_comms(gs[i], \"nfastgreedy\")\n",
    "    print(\"Number of communities in %s graph: %s\" % (gnames[i], len(com_fastgreedy)))\n",
    "    print(\"Fast-Greedy Communities:\")\n",
    "    print(sorted(com_fastgreedy))\n",
    "    r_A_fastgreedy = seq_match(com_A[i], com_fastgreedy)\n",
    "    print(r_A_fastgreedy)\n",
    "    ratio_A_fastgreedy.append(r_A_fastgreedy)\n",
    "    plt.figure(figsize=(12,12))\n",
    "    plt.imshow(r_A_fastgreedy, cmap=plt.cm.Purples, interpolation='nearest')\n",
    "    plt.show()\n",
    "    a_A_fastgreedy = nonzeroavg(r_A_fastgreedy)\n",
    "    print(\"Non-zero values average: %f\" % a_A_fastgreedy)\n",
    "    avg_A_fastgreedy.append(a_A_fastgreedy)\n",
    "    print(sprtr)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 46,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 1440x1008 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(20,14))\n",
    "plt.imshow(ratio_A_fastgreedy[2], cmap=plt.cm.Purples, interpolation='nearest')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 47,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "graph: test75\n",
      "Sequental matching ratio: 0.500000\n",
      "Index: 0 - 0\n",
      "[1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75]\n",
      "[3, 4, 5, 6, 8, 12, 13, 17, 20, 26, 27, 29, 30, 31, 35, 36, 39, 40, 48, 49, 58, 62, 69, 72, 73]\n",
      "----------------------\n",
      "Sequental matching ratio: 0.500000\n",
      "Index: 1 - 0\n",
      "[1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75]\n",
      "[1, 10, 11, 15, 16, 19, 23, 37, 42, 43, 44, 45, 46, 47, 50, 52, 55, 56, 57, 59, 61, 66, 70, 71, 75]\n",
      "----------------------\n",
      "Sequental matching ratio: 0.500000\n",
      "Index: 2 - 0\n",
      "[1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75]\n",
      "[2, 7, 9, 14, 18, 21, 22, 24, 25, 28, 32, 33, 34, 38, 41, 51, 53, 54, 60, 63, 64, 65, 67, 68, 74]\n",
      "----------------------\n",
      "Sequental matching ratio: 0.387097\n",
      "Index: 8 - 0\n",
      "[1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75]\n",
      "[3, 8, 13, 15, 16, 17, 20, 43, 47, 51, 52, 57, 60, 62, 63, 64, 70, 75]\n",
      "----------------------\n",
      "Sequental matching ratio: 0.314607\n",
      "Index: 3 - 0\n",
      "[1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75]\n",
      "[9, 10, 14, 23, 26, 29, 30, 38, 48, 58, 61, 69, 73, 74]\n",
      "----------------------\n",
      "graph: test100\n",
      "Sequental matching ratio: 0.581560\n",
      "Index: 8 - 0\n",
      "[1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 96, 97, 98, 99, 100]\n",
      "[3, 5, 7, 11, 12, 16, 20, 30, 31, 35, 37, 38, 42, 47, 48, 49, 55, 57, 58, 61, 62, 63, 64, 72, 74, 76, 77, 78, 80, 83, 84, 85, 86, 90, 91, 92, 93, 94, 97, 98, 100]\n",
      "----------------------\n",
      "Sequental matching ratio: 0.412698\n",
      "Index: 0 - 0\n",
      "[1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 96, 97, 98, 99, 100]\n",
      "[3, 4, 5, 8, 10, 12, 13, 18, 24, 26, 29, 32, 33, 34, 38, 41, 48, 70, 73, 75, 76, 83, 87, 88, 89, 97]\n",
      "----------------------\n",
      "Sequental matching ratio: 0.412698\n",
      "Index: 1 - 0\n",
      "[1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 96, 97, 98, 99, 100]\n",
      "[1, 2, 6, 15, 17, 25, 27, 28, 39, 43, 44, 46, 50, 52, 54, 62, 63, 67, 72, 78, 80, 84, 86, 92, 99, 100]\n",
      "----------------------\n",
      "Sequental matching ratio: 0.387097\n",
      "Index: 2 - 0\n",
      "[1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 96, 97, 98, 99, 100]\n",
      "[7, 11, 14, 16, 19, 23, 30, 31, 37, 42, 45, 57, 58, 59, 61, 65, 66, 68, 77, 79, 81, 90, 91, 93]\n",
      "----------------------\n",
      "Sequental matching ratio: 0.387097\n",
      "Index: 3 - 0\n",
      "[1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 96, 97, 98, 99, 100]\n",
      "[9, 20, 21, 22, 35, 36, 40, 47, 49, 51, 53, 55, 56, 60, 64, 69, 71, 74, 82, 85, 94, 95, 96, 98]\n",
      "----------------------\n",
      "Sequental matching ratio: 0.347107\n",
      "Index: 5 - 0\n",
      "[1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 96, 97, 98, 99, 100]\n",
      "[4, 15, 17, 18, 23, 33, 46, 54, 59, 65, 66, 67, 73, 79, 82, 87, 88, 89, 95, 96, 99]\n",
      "----------------------\n",
      "graph: test400\n",
      "Sequental matching ratio: 1.000000\n",
      "Index: 2 - 2\n",
      "[11, 33, 61, 72, 86, 87, 96, 102, 115, 118, 119, 136, 164, 167, 170, 171, 178, 181, 193, 194, 197, 198, 203, 220]\n",
      "[11, 33, 61, 72, 86, 87, 96, 102, 115, 118, 119, 136, 164, 167, 170, 171, 178, 181, 193, 194, 197, 198, 203, 220]\n",
      "----------------------\n",
      "Sequental matching ratio: 1.000000\n",
      "Index: 6 - 1\n",
      "[15, 18, 59, 71, 73, 91, 112, 126, 129, 138, 151, 153, 157, 161, 169, 172, 176, 177, 179, 183, 188, 211, 218, 219]\n",
      "[15, 18, 59, 71, 73, 91, 112, 126, 129, 138, 151, 153, 157, 161, 169, 172, 176, 177, 179, 183, 188, 211, 218, 219]\n",
      "----------------------\n",
      "Sequental matching ratio: 1.000000\n",
      "Index: 10 - 5\n",
      "[5, 9, 27, 30, 37, 45, 50, 54, 58, 65, 69, 74, 76, 77, 80, 81, 90, 97, 99, 103, 133, 162]\n",
      "[5, 9, 27, 30, 37, 45, 50, 54, 58, 65, 69, 74, 76, 77, 80, 81, 90, 97, 99, 103, 133, 162]\n",
      "----------------------\n",
      "Sequental matching ratio: 1.000000\n",
      "Index: 11 - 4\n",
      "[1, 4, 6, 21, 22, 24, 28, 35, 38, 42, 43, 44, 68, 78, 88, 93, 94, 95, 105, 108, 113, 145]\n",
      "[1, 4, 6, 21, 22, 24, 28, 35, 38, 42, 43, 44, 68, 78, 88, 93, 94, 95, 105, 108, 113, 145]\n",
      "----------------------\n",
      "Sequental matching ratio: 1.000000\n",
      "Index: 12 - 3\n",
      "[10, 16, 19, 36, 41, 46, 55, 57, 63, 67, 70, 79, 101, 128, 130, 141, 142, 154, 156, 163, 165, 185, 195]\n",
      "[10, 16, 19, 36, 41, 46, 55, 57, 63, 67, 70, 79, 101, 128, 130, 141, 142, 154, 156, 163, 165, 185, 195]\n",
      "----------------------\n",
      "graph: test1000\n",
      "Sequental matching ratio: 0.579545\n",
      "Index: 39 - 0\n",
      "[1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 96, 97, 98, 99, 100, 101, 102, 103, 104, 105, 106, 107, 108, 109, 110, 111, 112, 113, 114, 115, 116, 117, 118, 119, 120, 121, 122, 123, 124, 125, 126, 127, 128, 129, 130, 131, 132, 133, 134, 135, 136, 137, 138, 139, 140, 141, 142, 143, 144, 145, 146, 147, 148, 149, 150, 151, 152, 153, 154, 155, 156, 157, 158, 159, 160, 161, 162, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 180, 181, 182, 183, 184, 185, 186, 187, 188, 189, 190, 191, 192, 193, 194, 195, 196, 197, 198, 199, 200, 201, 202, 203, 204, 205, 206, 207, 208, 209, 210, 211, 212, 213, 214, 215, 216, 217, 218, 219, 220, 221, 222, 223, 224, 225, 226, 227, 228, 229, 230, 231, 232, 233, 234, 235, 236, 237, 238, 239, 240, 241, 242, 243, 244, 245, 246, 247, 248, 249, 250, 251, 252, 253, 254, 255, 256, 257, 258, 259, 260, 261, 262, 263, 264, 265, 266, 267, 268, 269, 270, 271, 272, 273, 274, 275, 276, 277, 278, 279, 280, 281, 282, 283, 284, 285, 286, 287, 288, 289, 290, 291, 292, 293, 294, 295, 296, 297, 298, 299, 300, 301, 302, 303, 304, 305, 306, 307, 308, 309, 310, 311, 312, 313, 314, 315, 316, 317, 318, 319, 320, 321, 322, 323, 324, 325, 326, 327, 328, 329, 330, 331, 332, 333, 334, 335, 336, 337, 338, 339, 340, 341, 342, 343, 344, 345, 346, 347, 348, 349, 350, 351, 352, 353, 354, 355, 356, 357, 358, 359, 360, 361, 362, 363, 364, 365, 366, 367, 368, 369, 370, 371, 372, 373, 374, 375, 376, 377, 378, 379, 380, 381, 382, 383, 384, 385, 386, 387, 388, 389, 390, 391, 392, 393, 394, 395, 396, 397, 398, 399, 400, 401, 402, 403, 404, 405, 406, 407, 408, 409, 410, 411, 412, 413, 414, 415, 416, 417, 418, 419, 420, 421, 422, 423, 424, 425, 426, 427, 428, 429, 430, 431, 432, 433, 434, 435, 436, 437, 438, 439, 440, 441, 442, 443, 444, 445, 446, 447, 448, 449, 450, 451, 452, 453, 454, 455, 456, 457, 458, 459, 460, 461, 462, 463, 464, 465, 466, 467, 468, 469, 470, 471, 472, 473, 474, 475, 476, 477, 478, 479, 480, 481, 482, 483, 484, 485, 486, 487, 488, 489, 490, 491, 492, 493, 494, 495, 496, 497, 498, 499, 500, 501, 502, 503, 504, 505, 506, 507, 508, 509, 510, 511, 512, 513, 514, 515, 516, 517, 518, 519, 520, 521, 522, 523, 524, 525, 526, 527, 528, 529, 530, 531, 532, 533, 534, 535, 536, 537, 538, 539, 540, 541, 542, 543, 544, 545, 546, 547, 548, 549, 550, 551, 552, 553, 554, 555, 556, 557, 558, 559, 560, 561, 562, 563, 564, 565, 566, 567, 568, 569, 570, 571, 572, 573, 574, 575, 576, 577, 578, 579, 580, 581, 582, 583, 584, 585, 586, 587, 588, 589, 590, 591, 592, 593, 594, 595, 596, 597, 598, 599, 600, 601, 602, 603, 604, 605, 606, 607, 608, 609, 610, 611, 612, 613, 614, 615, 616, 617, 618, 619, 620, 621, 622, 623, 624, 625, 626, 627, 628, 629, 630, 631, 632, 633, 634, 635, 636, 637, 638, 639, 640, 641, 642, 643, 644, 645, 646, 647, 648, 649, 650, 651, 652, 653, 654, 655, 656, 657, 658, 659, 660, 661, 662, 663, 664, 665, 666, 667, 668, 669, 670, 671, 672, 673, 674, 675, 676, 677, 678, 679, 680, 681, 682, 683, 684, 685, 686, 687, 688, 689, 690, 691, 692, 693, 694, 695, 696, 697, 698, 699, 700, 701, 702, 703, 704, 705, 706, 707, 708, 709, 710, 711, 712, 713, 714, 715, 716, 717, 718, 719, 720, 721, 722, 723, 724, 725, 726, 727, 728, 729, 730, 731, 732, 733, 734, 735, 736, 737, 738, 739, 740, 741, 742, 743, 744, 745, 746, 747, 748, 749, 750, 751, 752, 753, 754, 755, 756, 757, 758, 759, 760, 761, 762, 763, 764, 765, 766, 767, 768, 769, 770, 771, 772, 773, 774, 775, 776, 777, 778, 779, 780, 781, 782, 783, 784, 785, 786, 787, 788, 789, 790, 791, 792, 793, 794, 795, 796, 797, 798, 799, 800, 801, 802, 803, 804, 805, 806, 807, 808, 809, 810, 811, 812, 813, 814, 815, 816, 817, 818, 819, 820, 821, 822, 823, 824, 825, 826, 827, 828, 829, 830, 831, 832, 833, 834, 835, 836, 837, 838, 839, 840, 841, 842, 843, 844, 845, 846, 847, 848, 849, 850, 851, 852, 853, 854, 855, 856, 857, 858, 859, 860, 861, 862, 863, 864, 865, 866, 867, 868, 869, 870, 871, 872, 873, 874, 875, 876, 877, 878, 879, 880, 881, 882, 883, 884, 885, 886, 887, 888, 889, 890, 891, 892, 893, 894, 895, 896, 897, 898, 899, 900, 901, 902, 903, 904, 905, 906, 907, 908, 909, 910, 911, 912, 913, 914, 915, 916, 917, 918, 919, 920, 921, 922, 923, 924, 925, 926, 927, 928, 929, 930, 931, 932, 933, 934, 935, 936, 937, 938, 939, 940, 941, 942, 943, 944, 945, 946, 947, 948, 949, 950, 951, 952, 953, 954, 955, 956, 957, 958, 959, 960, 961, 962, 963, 964, 965, 966, 967, 968, 969, 970, 971, 972, 973, 974, 975, 976, 977, 978, 979, 980, 981, 982, 983, 984, 985, 986, 987, 988, 989, 990, 991, 992, 993, 994, 995, 996, 997, 998, 999, 1000]\n",
      "[1, 2, 4, 6, 7, 8, 9, 13, 14, 19, 25, 31, 34, 39, 46, 49, 55, 59, 60, 61, 62, 65, 66, 67, 68, 69, 70, 77, 78, 81, 82, 83, 87, 89, 92, 93, 94, 96, 97, 99, 101, 102, 103, 105, 107, 111, 116, 118, 124, 126, 131, 132, 133, 139, 143, 146, 147, 149, 157, 158, 167, 172, 174, 176, 179, 180, 182, 183, 184, 191, 193, 199, 204, 205, 208, 209, 211, 213, 215, 217, 220, 221, 223, 227, 232, 234, 235, 236, 238, 240, 241, 244, 245, 254, 255, 256, 260, 261, 262, 263, 267, 268, 269, 271, 272, 275, 277, 279, 280, 283, 287, 289, 293, 298, 299, 302, 303, 304, 310, 311, 314, 315, 316, 318, 319, 321, 323, 325, 326, 327, 328, 332, 333, 334, 335, 336, 346, 349, 353, 356, 359, 360, 361, 362, 364, 366, 367, 368, 371, 372, 374, 375, 377, 382, 383, 385, 386, 390, 392, 397, 399, 402, 403, 404, 407, 409, 410, 413, 417, 421, 423, 428, 429, 435, 436, 437, 438, 441, 445, 446, 448, 449, 450, 454, 455, 456, 457, 462, 464, 465, 468, 469, 470, 471, 475, 476, 477, 480, 481, 484, 486, 489, 494, 495, 497, 501, 503, 504, 508, 509, 511, 514, 518, 520, 521, 522, 523, 524, 525, 527, 532, 533, 535, 536, 537, 538, 540, 541, 544, 545, 546, 548, 554, 565, 576, 579, 582, 584, 585, 587, 591, 595, 596, 597, 602, 604, 605, 606, 609, 610, 611, 612, 614, 616, 618, 621, 622, 623, 638, 640, 643, 644, 647, 648, 650, 651, 656, 657, 660, 664, 665, 666, 668, 670, 673, 674, 678, 679, 684, 685, 686, 687, 689, 692, 694, 696, 703, 704, 705, 707, 709, 710, 712, 715, 717, 718, 720, 722, 724, 729, 731, 732, 735, 736, 738, 739, 742, 744, 745, 746, 749, 750, 754, 756, 757, 763, 765, 766, 769, 770, 771, 776, 777, 778, 779, 780, 782, 785, 787, 788, 789, 804, 805, 806, 807, 812, 815, 816, 819, 823, 825, 826, 829, 830, 835, 837, 838, 847, 849, 851, 852, 853, 854, 861, 863, 864, 867, 870, 871, 874, 877, 878, 880, 888, 889, 892, 893, 895, 901, 904, 905, 909, 911, 914, 917, 919, 920, 923, 924, 925, 930, 932, 933, 938, 941, 942, 944, 945, 949, 950, 951, 955, 958, 961, 962, 963, 964, 967, 969, 973, 977, 986, 987, 992, 994, 995, 996, 998]\n",
      "----------------------\n",
      "Sequental matching ratio: 0.459168\n",
      "Index: 40 - 0\n",
      "[1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 96, 97, 98, 99, 100, 101, 102, 103, 104, 105, 106, 107, 108, 109, 110, 111, 112, 113, 114, 115, 116, 117, 118, 119, 120, 121, 122, 123, 124, 125, 126, 127, 128, 129, 130, 131, 132, 133, 134, 135, 136, 137, 138, 139, 140, 141, 142, 143, 144, 145, 146, 147, 148, 149, 150, 151, 152, 153, 154, 155, 156, 157, 158, 159, 160, 161, 162, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 180, 181, 182, 183, 184, 185, 186, 187, 188, 189, 190, 191, 192, 193, 194, 195, 196, 197, 198, 199, 200, 201, 202, 203, 204, 205, 206, 207, 208, 209, 210, 211, 212, 213, 214, 215, 216, 217, 218, 219, 220, 221, 222, 223, 224, 225, 226, 227, 228, 229, 230, 231, 232, 233, 234, 235, 236, 237, 238, 239, 240, 241, 242, 243, 244, 245, 246, 247, 248, 249, 250, 251, 252, 253, 254, 255, 256, 257, 258, 259, 260, 261, 262, 263, 264, 265, 266, 267, 268, 269, 270, 271, 272, 273, 274, 275, 276, 277, 278, 279, 280, 281, 282, 283, 284, 285, 286, 287, 288, 289, 290, 291, 292, 293, 294, 295, 296, 297, 298, 299, 300, 301, 302, 303, 304, 305, 306, 307, 308, 309, 310, 311, 312, 313, 314, 315, 316, 317, 318, 319, 320, 321, 322, 323, 324, 325, 326, 327, 328, 329, 330, 331, 332, 333, 334, 335, 336, 337, 338, 339, 340, 341, 342, 343, 344, 345, 346, 347, 348, 349, 350, 351, 352, 353, 354, 355, 356, 357, 358, 359, 360, 361, 362, 363, 364, 365, 366, 367, 368, 369, 370, 371, 372, 373, 374, 375, 376, 377, 378, 379, 380, 381, 382, 383, 384, 385, 386, 387, 388, 389, 390, 391, 392, 393, 394, 395, 396, 397, 398, 399, 400, 401, 402, 403, 404, 405, 406, 407, 408, 409, 410, 411, 412, 413, 414, 415, 416, 417, 418, 419, 420, 421, 422, 423, 424, 425, 426, 427, 428, 429, 430, 431, 432, 433, 434, 435, 436, 437, 438, 439, 440, 441, 442, 443, 444, 445, 446, 447, 448, 449, 450, 451, 452, 453, 454, 455, 456, 457, 458, 459, 460, 461, 462, 463, 464, 465, 466, 467, 468, 469, 470, 471, 472, 473, 474, 475, 476, 477, 478, 479, 480, 481, 482, 483, 484, 485, 486, 487, 488, 489, 490, 491, 492, 493, 494, 495, 496, 497, 498, 499, 500, 501, 502, 503, 504, 505, 506, 507, 508, 509, 510, 511, 512, 513, 514, 515, 516, 517, 518, 519, 520, 521, 522, 523, 524, 525, 526, 527, 528, 529, 530, 531, 532, 533, 534, 535, 536, 537, 538, 539, 540, 541, 542, 543, 544, 545, 546, 547, 548, 549, 550, 551, 552, 553, 554, 555, 556, 557, 558, 559, 560, 561, 562, 563, 564, 565, 566, 567, 568, 569, 570, 571, 572, 573, 574, 575, 576, 577, 578, 579, 580, 581, 582, 583, 584, 585, 586, 587, 588, 589, 590, 591, 592, 593, 594, 595, 596, 597, 598, 599, 600, 601, 602, 603, 604, 605, 606, 607, 608, 609, 610, 611, 612, 613, 614, 615, 616, 617, 618, 619, 620, 621, 622, 623, 624, 625, 626, 627, 628, 629, 630, 631, 632, 633, 634, 635, 636, 637, 638, 639, 640, 641, 642, 643, 644, 645, 646, 647, 648, 649, 650, 651, 652, 653, 654, 655, 656, 657, 658, 659, 660, 661, 662, 663, 664, 665, 666, 667, 668, 669, 670, 671, 672, 673, 674, 675, 676, 677, 678, 679, 680, 681, 682, 683, 684, 685, 686, 687, 688, 689, 690, 691, 692, 693, 694, 695, 696, 697, 698, 699, 700, 701, 702, 703, 704, 705, 706, 707, 708, 709, 710, 711, 712, 713, 714, 715, 716, 717, 718, 719, 720, 721, 722, 723, 724, 725, 726, 727, 728, 729, 730, 731, 732, 733, 734, 735, 736, 737, 738, 739, 740, 741, 742, 743, 744, 745, 746, 747, 748, 749, 750, 751, 752, 753, 754, 755, 756, 757, 758, 759, 760, 761, 762, 763, 764, 765, 766, 767, 768, 769, 770, 771, 772, 773, 774, 775, 776, 777, 778, 779, 780, 781, 782, 783, 784, 785, 786, 787, 788, 789, 790, 791, 792, 793, 794, 795, 796, 797, 798, 799, 800, 801, 802, 803, 804, 805, 806, 807, 808, 809, 810, 811, 812, 813, 814, 815, 816, 817, 818, 819, 820, 821, 822, 823, 824, 825, 826, 827, 828, 829, 830, 831, 832, 833, 834, 835, 836, 837, 838, 839, 840, 841, 842, 843, 844, 845, 846, 847, 848, 849, 850, 851, 852, 853, 854, 855, 856, 857, 858, 859, 860, 861, 862, 863, 864, 865, 866, 867, 868, 869, 870, 871, 872, 873, 874, 875, 876, 877, 878, 879, 880, 881, 882, 883, 884, 885, 886, 887, 888, 889, 890, 891, 892, 893, 894, 895, 896, 897, 898, 899, 900, 901, 902, 903, 904, 905, 906, 907, 908, 909, 910, 911, 912, 913, 914, 915, 916, 917, 918, 919, 920, 921, 922, 923, 924, 925, 926, 927, 928, 929, 930, 931, 932, 933, 934, 935, 936, 937, 938, 939, 940, 941, 942, 943, 944, 945, 946, 947, 948, 949, 950, 951, 952, 953, 954, 955, 956, 957, 958, 959, 960, 961, 962, 963, 964, 965, 966, 967, 968, 969, 970, 971, 972, 973, 974, 975, 976, 977, 978, 979, 980, 981, 982, 983, 984, 985, 986, 987, 988, 989, 990, 991, 992, 993, 994, 995, 996, 997, 998, 999, 1000]\n",
      "[11, 12, 15, 17, 18, 20, 22, 26, 29, 30, 37, 38, 41, 43, 44, 52, 53, 56, 57, 63, 74, 75, 80, 85, 90, 91, 95, 98, 104, 106, 112, 113, 114, 115, 117, 119, 120, 122, 123, 125, 128, 129, 130, 136, 137, 141, 144, 148, 152, 154, 156, 160, 162, 163, 166, 168, 169, 171, 175, 177, 187, 188, 189, 196, 198, 200, 201, 203, 210, 212, 222, 226, 229, 233, 242, 243, 248, 250, 252, 257, 258, 270, 274, 276, 282, 285, 286, 288, 295, 300, 305, 308, 320, 324, 331, 338, 339, 340, 341, 342, 343, 345, 347, 348, 351, 355, 365, 370, 376, 378, 379, 381, 384, 387, 389, 391, 393, 394, 396, 398, 406, 411, 415, 416, 422, 426, 427, 432, 434, 439, 444, 447, 458, 460, 461, 467, 473, 482, 483, 490, 491, 496, 502, 505, 506, 510, 512, 513, 515, 516, 526, 530, 534, 547, 549, 550, 551, 552, 553, 556, 558, 560, 561, 563, 566, 567, 568, 569, 570, 571, 572, 574, 575, 577, 583, 586, 588, 590, 592, 601, 603, 613, 617, 619, 624, 625, 628, 629, 630, 631, 632, 634, 637, 639, 641, 649, 652, 655, 659, 661, 671, 677, 683, 690, 693, 698, 699, 701, 702, 708, 713, 714, 723, 725, 728, 737, 741, 743, 748, 752, 753, 755, 762, 768, 775, 781, 783, 786, 790, 792, 798, 799, 803, 808, 809, 810, 813, 817, 818, 820, 821, 822, 824, 827, 828, 832, 833, 839, 841, 843, 844, 845, 846, 859, 868, 869, 879, 881, 883, 884, 885, 886, 887, 890, 891, 898, 902, 903, 908, 910, 912, 913, 918, 921, 926, 928, 929, 935, 936, 937, 939, 943, 946, 948, 952, 956, 957, 968, 970, 974, 976, 980, 982, 983, 984, 989, 999, 1000]\n",
      "----------------------\n",
      "Sequental matching ratio: 0.454405\n",
      "Index: 41 - 0\n",
      "[1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 96, 97, 98, 99, 100, 101, 102, 103, 104, 105, 106, 107, 108, 109, 110, 111, 112, 113, 114, 115, 116, 117, 118, 119, 120, 121, 122, 123, 124, 125, 126, 127, 128, 129, 130, 131, 132, 133, 134, 135, 136, 137, 138, 139, 140, 141, 142, 143, 144, 145, 146, 147, 148, 149, 150, 151, 152, 153, 154, 155, 156, 157, 158, 159, 160, 161, 162, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 180, 181, 182, 183, 184, 185, 186, 187, 188, 189, 190, 191, 192, 193, 194, 195, 196, 197, 198, 199, 200, 201, 202, 203, 204, 205, 206, 207, 208, 209, 210, 211, 212, 213, 214, 215, 216, 217, 218, 219, 220, 221, 222, 223, 224, 225, 226, 227, 228, 229, 230, 231, 232, 233, 234, 235, 236, 237, 238, 239, 240, 241, 242, 243, 244, 245, 246, 247, 248, 249, 250, 251, 252, 253, 254, 255, 256, 257, 258, 259, 260, 261, 262, 263, 264, 265, 266, 267, 268, 269, 270, 271, 272, 273, 274, 275, 276, 277, 278, 279, 280, 281, 282, 283, 284, 285, 286, 287, 288, 289, 290, 291, 292, 293, 294, 295, 296, 297, 298, 299, 300, 301, 302, 303, 304, 305, 306, 307, 308, 309, 310, 311, 312, 313, 314, 315, 316, 317, 318, 319, 320, 321, 322, 323, 324, 325, 326, 327, 328, 329, 330, 331, 332, 333, 334, 335, 336, 337, 338, 339, 340, 341, 342, 343, 344, 345, 346, 347, 348, 349, 350, 351, 352, 353, 354, 355, 356, 357, 358, 359, 360, 361, 362, 363, 364, 365, 366, 367, 368, 369, 370, 371, 372, 373, 374, 375, 376, 377, 378, 379, 380, 381, 382, 383, 384, 385, 386, 387, 388, 389, 390, 391, 392, 393, 394, 395, 396, 397, 398, 399, 400, 401, 402, 403, 404, 405, 406, 407, 408, 409, 410, 411, 412, 413, 414, 415, 416, 417, 418, 419, 420, 421, 422, 423, 424, 425, 426, 427, 428, 429, 430, 431, 432, 433, 434, 435, 436, 437, 438, 439, 440, 441, 442, 443, 444, 445, 446, 447, 448, 449, 450, 451, 452, 453, 454, 455, 456, 457, 458, 459, 460, 461, 462, 463, 464, 465, 466, 467, 468, 469, 470, 471, 472, 473, 474, 475, 476, 477, 478, 479, 480, 481, 482, 483, 484, 485, 486, 487, 488, 489, 490, 491, 492, 493, 494, 495, 496, 497, 498, 499, 500, 501, 502, 503, 504, 505, 506, 507, 508, 509, 510, 511, 512, 513, 514, 515, 516, 517, 518, 519, 520, 521, 522, 523, 524, 525, 526, 527, 528, 529, 530, 531, 532, 533, 534, 535, 536, 537, 538, 539, 540, 541, 542, 543, 544, 545, 546, 547, 548, 549, 550, 551, 552, 553, 554, 555, 556, 557, 558, 559, 560, 561, 562, 563, 564, 565, 566, 567, 568, 569, 570, 571, 572, 573, 574, 575, 576, 577, 578, 579, 580, 581, 582, 583, 584, 585, 586, 587, 588, 589, 590, 591, 592, 593, 594, 595, 596, 597, 598, 599, 600, 601, 602, 603, 604, 605, 606, 607, 608, 609, 610, 611, 612, 613, 614, 615, 616, 617, 618, 619, 620, 621, 622, 623, 624, 625, 626, 627, 628, 629, 630, 631, 632, 633, 634, 635, 636, 637, 638, 639, 640, 641, 642, 643, 644, 645, 646, 647, 648, 649, 650, 651, 652, 653, 654, 655, 656, 657, 658, 659, 660, 661, 662, 663, 664, 665, 666, 667, 668, 669, 670, 671, 672, 673, 674, 675, 676, 677, 678, 679, 680, 681, 682, 683, 684, 685, 686, 687, 688, 689, 690, 691, 692, 693, 694, 695, 696, 697, 698, 699, 700, 701, 702, 703, 704, 705, 706, 707, 708, 709, 710, 711, 712, 713, 714, 715, 716, 717, 718, 719, 720, 721, 722, 723, 724, 725, 726, 727, 728, 729, 730, 731, 732, 733, 734, 735, 736, 737, 738, 739, 740, 741, 742, 743, 744, 745, 746, 747, 748, 749, 750, 751, 752, 753, 754, 755, 756, 757, 758, 759, 760, 761, 762, 763, 764, 765, 766, 767, 768, 769, 770, 771, 772, 773, 774, 775, 776, 777, 778, 779, 780, 781, 782, 783, 784, 785, 786, 787, 788, 789, 790, 791, 792, 793, 794, 795, 796, 797, 798, 799, 800, 801, 802, 803, 804, 805, 806, 807, 808, 809, 810, 811, 812, 813, 814, 815, 816, 817, 818, 819, 820, 821, 822, 823, 824, 825, 826, 827, 828, 829, 830, 831, 832, 833, 834, 835, 836, 837, 838, 839, 840, 841, 842, 843, 844, 845, 846, 847, 848, 849, 850, 851, 852, 853, 854, 855, 856, 857, 858, 859, 860, 861, 862, 863, 864, 865, 866, 867, 868, 869, 870, 871, 872, 873, 874, 875, 876, 877, 878, 879, 880, 881, 882, 883, 884, 885, 886, 887, 888, 889, 890, 891, 892, 893, 894, 895, 896, 897, 898, 899, 900, 901, 902, 903, 904, 905, 906, 907, 908, 909, 910, 911, 912, 913, 914, 915, 916, 917, 918, 919, 920, 921, 922, 923, 924, 925, 926, 927, 928, 929, 930, 931, 932, 933, 934, 935, 936, 937, 938, 939, 940, 941, 942, 943, 944, 945, 946, 947, 948, 949, 950, 951, 952, 953, 954, 955, 956, 957, 958, 959, 960, 961, 962, 963, 964, 965, 966, 967, 968, 969, 970, 971, 972, 973, 974, 975, 976, 977, 978, 979, 980, 981, 982, 983, 984, 985, 986, 987, 988, 989, 990, 991, 992, 993, 994, 995, 996, 997, 998, 999, 1000]\n",
      "[3, 5, 10, 16, 21, 23, 24, 27, 28, 32, 33, 35, 36, 40, 42, 45, 47, 48, 50, 51, 54, 58, 64, 71, 72, 73, 76, 79, 84, 86, 88, 100, 108, 109, 110, 121, 127, 134, 135, 138, 140, 142, 145, 150, 151, 153, 155, 159, 161, 164, 165, 170, 173, 178, 181, 185, 186, 190, 192, 194, 195, 197, 202, 206, 207, 214, 216, 218, 219, 224, 225, 228, 230, 231, 237, 239, 246, 247, 249, 251, 253, 259, 264, 265, 266, 273, 278, 281, 284, 290, 291, 292, 294, 296, 297, 301, 306, 307, 309, 312, 313, 317, 322, 329, 330, 337, 344, 350, 352, 354, 357, 358, 363, 369, 373, 380, 388, 395, 400, 401, 405, 408, 412, 414, 418, 419, 420, 424, 425, 430, 431, 433, 440, 442, 443, 451, 452, 453, 459, 463, 466, 472, 474, 478, 479, 485, 487, 488, 492, 493, 498, 499, 500, 507, 517, 519, 528, 529, 531, 539, 542, 543, 555, 557, 559, 562, 564, 573, 578, 580, 581, 589, 593, 594, 598, 599, 600, 607, 608, 615, 620, 626, 627, 633, 635, 636, 642, 645, 646, 653, 654, 658, 662, 663, 667, 669, 672, 675, 676, 680, 681, 682, 688, 691, 695, 697, 700, 706, 711, 716, 719, 721, 726, 727, 730, 733, 734, 740, 747, 751, 758, 759, 760, 761, 764, 767, 772, 773, 774, 784, 791, 793, 794, 795, 796, 797, 800, 801, 802, 811, 814, 831, 834, 836, 840, 842, 848, 850, 855, 856, 857, 858, 860, 862, 865, 866, 872, 873, 875, 876, 882, 894, 896, 897, 899, 900, 906, 907, 915, 916, 922, 927, 931, 934, 940, 947, 953, 954, 959, 960, 965, 966, 971, 972, 975, 978, 979, 981, 985, 988, 990, 991, 993, 997]\n",
      "----------------------\n"
     ]
    }
   ],
   "source": [
    "limiter = 0.3\n",
    "for i in range(len(gs)):\n",
    "    print(\"graph: %s\" % gnames[i])\n",
    "    getHighestRatios(ratio_A_fastgreedy[i], 25, com_A[i], get_comms(gs[i], \"nfastgreedy\"), limiter)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 48,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[2, 3, 7, 8, 12, 13, 14, 17, 20, 23, 25, 26, 29, 31, 32, 34, 39, 40, 47, 48, 49, 51, 52, 53, 56, 60, 62, 64, 66, 75, 82, 83, 84, 85, 89, 92, 98, 100, 104, 106, 107, 109, 110, 111, 114, 116, 117, 120, 121, 122, 123, 124, 125, 127, 131, 132, 134, 135, 137, 139, 140, 143, 144, 146, 147, 148, 149, 150, 152, 155, 158, 159, 160, 166, 168, 173, 174, 175, 180, 182, 184, 186, 187, 189, 190, 191, 192, 196, 199, 200, 201, 202, 204, 205, 206, 207, 208, 209, 210, 212, 213, 214, 215, 216, 217, 221, 222, 223, 224, 225, 226, 227, 228, 229, 230, 231, 232, 233, 234, 235, 236, 237, 238, 239, 240, 241, 242, 243, 244, 245, 246, 247, 248, 249, 250, 251, 252, 253, 254, 255, 256, 257, 258, 259, 260, 261, 262, 263, 264, 265, 266, 267, 268, 269, 270, 271, 272, 273, 274, 275, 276, 277, 278, 279, 280, 281, 282, 283, 284, 285, 286, 287, 288, 289, 290, 291, 292, 293, 294, 295, 296, 297, 298, 299, 300, 301, 302, 303, 304, 305, 306, 307, 308, 309, 310, 311, 312, 313, 314, 315, 316, 317, 318, 319, 320, 321, 322, 323, 324, 325, 326, 327, 328, 329, 330, 331, 332, 333, 334, 335, 336, 337, 338, 339, 340, 341, 342, 343, 344, 345, 346, 347, 348, 349, 350, 351, 352, 353, 354, 355, 356, 357, 358, 359, 360, 361, 362, 363, 364, 365, 366, 367, 368, 369, 370, 371, 372, 373, 374, 375, 376, 377, 378, 379, 380, 381, 382, 383, 384, 385, 386, 387, 388, 389, 390, 391, 392, 393, 394, 395, 396, 397, 398, 399, 400]\n"
     ]
    }
   ],
   "source": [
    "print(get_comm(g400, \"nfastgreedy\", 0))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 49,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Number of communities in test75 graph: 2\n",
      "Labelprop (Nx) Communities:\n",
      "[[1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 12, 13, 14, 17, 18, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 38, 39, 40, 41, 43, 48, 49, 51, 53, 54, 55, 56, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 72, 73, 74], [11, 15, 16, 19, 20, 37, 42, 44, 45, 46, 47, 50, 52, 57, 70, 71, 75]]\n",
      "[[0.5783132530120482, 0.047619047619047616], [0.21686746987951808, 0.7619047619047619], [0.6024096385542169, 0.0], [0.3888888888888889, 0.0], [0.21212121212121213, 0.08], [0.21212121212121213, 0.08], [0.031746031746031744, 0.36363636363636365], [0.18461538461538463, 0.08333333333333333], [0.2631578947368421, 0.45714285714285713], [0.23529411764705882, 0.14814814814814814], [0.15873015873015872, 0.0]]\n"
     ]
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 576x576 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Non-zero values average: 0.333354\n",
      "---------------------------------------\n",
      "Number of communities in test100 graph: 1\n",
      "Labelprop (Nx) Communities:\n",
      "[[1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 96, 97, 98, 99, 100]]\n",
      "[[0.4126984126984127], [0.4126984126984127], [0.3870967741935484], [0.3870967741935484], [0.09523809523809523], [0.34710743801652894], [0.09523809523809523], [0.1308411214953271], [0.5815602836879432], [0.1308411214953271], [0.1651376146788991], [0.09523809523809523]]\n"
     ]
    },
    {
     "data": {
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      "text/plain": [
       "<Figure size 576x576 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Non-zero values average: 0.270066\n",
      "---------------------------------------\n",
      "Number of communities in test400 graph: 11\n",
      "Labelprop (Nx) Communities:\n",
      "[[1, 4, 6, 7, 12, 13, 14, 15, 18, 21, 22, 24, 26, 28, 29, 35, 38, 39, 40, 42, 43, 44, 47, 48, 52, 53, 59, 66, 68, 71, 73, 75, 78, 88, 89, 91, 93, 94, 95, 104, 105, 107, 108, 110, 111, 112, 113, 125, 126, 129, 132, 138, 144, 145, 148, 151, 153, 157, 160, 161, 166, 169, 172, 173, 174, 175, 176, 177, 179, 180, 183, 184, 186, 188, 189, 190, 191, 192, 201, 206, 207, 208, 211, 217, 218, 219, 224, 226, 228, 231, 247, 269, 270, 271, 275, 284, 309, 346, 347, 351, 352, 355, 357, 361, 362, 363, 365, 368, 369, 371, 372, 374, 375, 376, 377, 378, 379, 380, 381, 382, 383, 384, 385, 386, 387, 388, 389, 390, 391, 392, 393, 394, 395, 396, 397, 398, 399, 400], [2, 8, 32, 62, 92, 121, 122, 127, 139, 140, 152, 214, 216, 243, 245, 248, 261, 267, 281, 289, 290, 298, 300, 303, 308, 312, 327], [3, 49, 84, 106, 109, 168, 196, 205, 215, 241, 252, 255, 262, 263, 283, 311, 318, 320, 328, 329, 336, 338, 339, 340, 341, 353, 354, 366], [5, 9, 27, 30, 37, 45, 50, 54, 58, 65, 69, 74, 76, 77, 80, 81, 90, 97, 99, 103, 133, 162], [10, 16, 19, 36, 41, 46, 55, 57, 63, 67, 70, 79, 101, 128, 130, 141, 142, 154, 156, 163, 165, 185, 195], [11, 33, 61, 72, 86, 87, 96, 102, 115, 118, 119, 136, 164, 167, 170, 171, 178, 181, 193, 194, 197, 198, 203, 220], [17, 60, 120, 147, 159, 213, 223, 229, 246, 253, 254, 257, 268, 276, 277, 282, 286, 305, 321, 322, 325, 337, 348, 350, 358, 359, 360, 370], [20, 56, 116, 124, 143, 146, 155, 158, 182, 204, 210, 227, 230, 235, 238, 239, 240, 259, 279, 280, 285, 287, 288, 291, 306, 314, 316], [23, 85, 123, 137, 150, 187, 199, 200, 237, 244, 250, 251, 260, 265, 301, 302, 307, 313, 323, 326, 333, 335, 342, 344, 345, 349, 367, 373], [25, 31, 34, 64, 82, 83, 98, 114, 117, 134, 135, 202, 225, 232, 233, 234, 242, 249, 256, 258, 264, 272, 273, 292, 299, 304, 310], [51, 100, 131, 149, 209, 212, 221, 222, 236, 266, 274, 278, 293, 294, 295, 296, 297, 315, 317, 319, 324, 330, 331, 332, 334, 343, 356, 364]]\n",
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     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 576x576 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Non-zero values average: 0.185711\n",
      "---------------------------------------\n",
      "Number of communities in test1000 graph: 9\n",
      "Labelprop (Nx) Communities:\n",
      "[[1, 2, 3, 4, 5, 7, 8, 9, 11, 12, 13, 14, 15, 16, 19, 20, 21, 23, 24, 25, 26, 27, 29, 30, 31, 32, 34, 35, 36, 37, 39, 41, 42, 43, 44, 45, 46, 47, 48, 49, 51, 52, 53, 55, 56, 57, 58, 62, 63, 64, 65, 66, 69, 70, 72, 74, 75, 76, 77, 78, 79, 80, 82, 83, 86, 87, 88, 89, 90, 92, 93, 94, 96, 98, 100, 101, 102, 103, 104, 105, 106, 108, 109, 110, 112, 113, 114, 117, 120, 121, 123, 124, 127, 128, 129, 130, 131, 133, 135, 136, 137, 138, 140, 141, 145, 146, 147, 148, 149, 150, 151, 153, 154, 155, 156, 157, 160, 161, 162, 164, 167, 168, 169, 170, 171, 172, 174, 175, 176, 177, 180, 182, 183, 184, 185, 186, 187, 188, 189, 190, 191, 192, 196, 198, 199, 200, 201, 205, 209, 210, 211, 213, 214, 216, 217, 221, 222, 223, 224, 225, 226, 227, 228, 230, 232, 233, 234, 236, 237, 239, 242, 243, 244, 245, 246, 247, 248, 249, 250, 251, 252, 253, 254, 255, 256, 260, 262, 263, 264, 265, 266, 267, 268, 269, 270, 271, 273, 274, 276, 278, 279, 280, 281, 282, 284, 285, 286, 287, 288, 290, 292, 293, 295, 296, 297, 298, 300, 301, 303, 306, 307, 308, 309, 311, 312, 314, 315, 316, 317, 318, 319, 321, 323, 324, 325, 330, 332, 333, 335, 336, 337, 338, 339, 341, 342, 344, 345, 349, 350, 351, 352, 353, 355, 356, 361, 362, 363, 364, 365, 366, 367, 368, 369, 371, 372, 373, 375, 377, 378, 379, 380, 382, 383, 386, 387, 388, 389, 390, 391, 394, 395, 396, 397, 398, 400, 401, 402, 403, 405, 408, 410, 411, 412, 413, 414, 416, 417, 420, 421, 423, 425, 427, 428, 429, 431, 432, 433, 434, 436, 439, 441, 443, 444, 445, 446, 447, 448, 449, 452, 453, 454, 455, 456, 457, 458, 460, 461, 462, 463, 464, 466, 467, 468, 470, 471, 472, 473, 475, 476, 478, 479, 481, 482, 483, 484, 485, 488, 489, 490, 491, 495, 496, 497, 499, 500, 502, 503, 504, 508, 510, 513, 514, 515, 516, 517, 518, 519, 520, 521, 522, 523, 524, 525, 526, 527, 528, 530, 532, 533, 534, 536, 537, 538, 540, 541, 542, 545, 547, 548, 549, 550, 551, 554, 555, 557, 558, 560, 562, 563, 564, 565, 566, 567, 570, 571, 572, 573, 574, 575, 576, 577, 578, 580, 581, 583, 584, 586, 588, 589, 590, 594, 596, 597, 598, 599, 601, 602, 603, 605, 607, 608, 609, 611, 613, 614, 615, 616, 617, 618, 620, 621, 623, 624, 626, 627, 628, 629, 632, 633, 637, 638, 641, 642, 643, 644, 645, 646, 648, 649, 652, 654, 657, 658, 661, 664, 665, 666, 668, 669, 671, 673, 676, 677, 678, 679, 681, 683, 684, 685, 686, 688, 689, 690, 691, 693, 694, 695, 696, 697, 698, 699, 701, 704, 706, 707, 708, 709, 710, 711, 712, 713, 714, 715, 716, 718, 719, 720, 722, 724, 725, 726, 727, 728, 729, 730, 731, 733, 734, 735, 736, 738, 739, 740, 743, 744, 746, 748, 749, 751, 752, 753, 754, 756, 757, 758, 759, 761, 762, 763, 764, 765, 766, 768, 771, 773, 774, 775, 776, 777, 778, 779, 780, 783, 784, 785, 786, 790, 791, 793, 794, 795, 796, 798, 799, 803, 805, 806, 807, 809, 811, 813, 815, 816, 817, 821, 822, 823, 824, 825, 827, 828, 829, 830, 831, 832, 833, 835, 837, 838, 839, 840, 842, 843, 846, 848, 851, 852, 853, 855, 856, 857, 858, 859, 860, 861, 862, 863, 865, 866, 867, 868, 869, 871, 872, 873, 876, 877, 880, 883, 884, 885, 886, 887, 891, 892, 893, 895, 896, 898, 899, 900, 901, 902, 903, 904, 906, 907, 908, 909, 910, 913, 914, 916, 918, 919, 923, 924, 925, 927, 930, 931, 932, 933, 935, 937, 938, 939, 940, 941, 942, 943, 944, 945, 946, 947, 949, 950, 951, 953, 954, 956, 957, 959, 961, 962, 963, 966, 967, 968, 969, 970, 971, 972, 975, 976, 977, 978, 979, 981, 982, 984, 986, 988, 991, 992, 993, 994, 998], [6, 10, 33, 38, 54, 59, 111, 126, 134, 142, 163, 173, 193, 194, 197, 207, 208, 219, 220, 238, 258, 275, 289, 294, 329, 358, 370, 376, 392, 409, 415, 424, 437, 450, 451, 480, 509, 511, 512, 531, 544, 546, 553, 587, 604, 610, 640, 647, 650, 651, 653, 659, 682, 700, 767, 772, 781, 782, 792, 801, 819, 849, 854, 879, 889, 897, 926, 929, 955, 983, 995, 996, 997], [17, 18, 40, 84, 202, 203, 299, 313, 331, 385, 442, 474, 529, 552, 568, 591, 606, 656, 670, 755, 917, 920, 973, 989], [22, 60, 118, 144, 159, 178, 240, 257, 305, 322, 347, 357, 498, 539, 612, 702, 841, 864, 952, 960, 1000], [28, 107, 116, 181, 231, 235, 241, 374, 381, 404, 422, 469, 507, 556, 592, 732, 760, 814, 818, 834, 845, 850, 890, 912, 974], [50, 212, 283, 354, 419, 426, 465, 561, 585, 639, 737, 788, 789, 797, 810, 915, 928, 936, 964, 965, 990], [61, 71, 91, 97, 119, 122, 125, 143, 229, 359, 384, 477, 506, 625, 631, 680, 692, 703, 808, 812, 826, 847, 894, 958, 985], [67, 85, 195, 206, 302, 310, 340, 346, 348, 399, 407, 430, 440, 494, 543, 582, 600, 630, 635, 674, 705, 721, 769, 911, 922, 948, 987], [68, 73, 81, 95, 99, 115, 132, 139, 152, 158, 165, 166, 179, 204, 215, 218, 259, 261, 272, 277, 291, 304, 320, 326, 327, 328, 334, 343, 360, 393, 406, 418, 435, 438, 459, 486, 487, 492, 493, 501, 505, 535, 559, 569, 579, 593, 595, 619, 622, 634, 636, 655, 660, 662, 663, 667, 672, 675, 687, 717, 723, 741, 742, 745, 747, 750, 770, 787, 800, 802, 804, 820, 836, 844, 870, 874, 875, 878, 881, 882, 888, 905, 921, 934, 980, 999]]\n",
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     ]
    },
    {
     "data": {
      "image/png": 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yehn/cgAvTfq45bN++kgAeJzkUyTX9Hox7VT6AM7zJD/rp48sjYhDJOcA2Ery+Yj4Xa8X1Uovz/yDAK6Y9HHfP+snIg5lb8cAbELNH9rey/hPAliQPc9/OprPBtrSw/XkQvJikjMn3gfwfgC7eruqC+vZzX5EnCW5FsCvAQwC2BARu3u1ngLMBbCp+ex1TAPwUET8qrdLujDv8AnzDp8wxxfm+MIcX5jjC3N8YY4vzPGF/RefrZuItkOlJQAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<Figure size 576x576 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Non-zero values average: 0.271340\n",
      "---------------------------------------\n"
     ]
    }
   ],
   "source": [
    "ratio_A_n_labelprop, avg_A_n_labelprop = [], []\n",
    "for i in range(len(gs)):\n",
    "    com_n_labelprop = get_comms(gs[i], \"nlabelprop\")\n",
    "    print(\"Number of communities in %s graph: %s\" % (gnames[i], len(com_n_labelprop)))\n",
    "    print(\"Labelprop (Nx) Communities:\")\n",
    "    print(sorted(com_n_labelprop))\n",
    "    r_A_n_labelprop = seq_match(com_A[i], com_n_labelprop)\n",
    "    print(r_A_n_labelprop)\n",
    "    ratio_A_n_labelprop.append(r_A_n_labelprop)\n",
    "    plt.figure(figsize=(8,8))\n",
    "    plt.imshow(r_A_n_labelprop, cmap=plt.cm.Purples, interpolation='nearest')\n",
    "    plt.show()\n",
    "    a_A_n_labelprop = nonzeroavg(r_A_n_labelprop)\n",
    "    print(\"Non-zero values average: %f\" % a_A_n_labelprop)\n",
    "    avg_A_n_labelprop.append(a_A_n_labelprop)\n",
    "    print(sprtr)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 50,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "graph: test75\n",
      "Sequental matching ratio: 0.761905\n",
      "Index: 1 - 1\n",
      "[11, 15, 16, 19, 20, 37, 42, 44, 45, 46, 47, 50, 52, 57, 70, 71, 75]\n",
      "[1, 10, 11, 15, 16, 19, 23, 37, 42, 43, 44, 45, 46, 47, 50, 52, 55, 56, 57, 59, 61, 66, 70, 71, 75]\n",
      "----------------------\n",
      "Sequental matching ratio: 0.602410\n",
      "Index: 2 - 0\n",
      "[1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 12, 13, 14, 17, 18, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 38, 39, 40, 41, 43, 48, 49, 51, 53, 54, 55, 56, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 72, 73, 74]\n",
      "[2, 7, 9, 14, 18, 21, 22, 24, 25, 28, 32, 33, 34, 38, 41, 51, 53, 54, 60, 63, 64, 65, 67, 68, 74]\n",
      "----------------------\n",
      "Sequental matching ratio: 0.578313\n",
      "Index: 0 - 0\n",
      "[1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 12, 13, 14, 17, 18, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 38, 39, 40, 41, 43, 48, 49, 51, 53, 54, 55, 56, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 72, 73, 74]\n",
      "[3, 4, 5, 6, 8, 12, 13, 17, 20, 26, 27, 29, 30, 31, 35, 36, 39, 40, 48, 49, 58, 62, 69, 72, 73]\n",
      "----------------------\n",
      "Sequental matching ratio: 0.457143\n",
      "Index: 8 - 1\n",
      "[11, 15, 16, 19, 20, 37, 42, 44, 45, 46, 47, 50, 52, 57, 70, 71, 75]\n",
      "[3, 8, 13, 15, 16, 17, 20, 43, 47, 51, 52, 57, 60, 62, 63, 64, 70, 75]\n",
      "----------------------\n",
      "graph: test100\n",
      "Sequental matching ratio: 0.581560\n",
      "Index: 8 - 0\n",
      "[1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 96, 97, 98, 99, 100]\n",
      "[3, 5, 7, 11, 12, 16, 20, 30, 31, 35, 37, 38, 42, 47, 48, 49, 55, 57, 58, 61, 62, 63, 64, 72, 74, 76, 77, 78, 80, 83, 84, 85, 86, 90, 91, 92, 93, 94, 97, 98, 100]\n",
      "----------------------\n",
      "Sequental matching ratio: 0.412698\n",
      "Index: 0 - 0\n",
      "[1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 96, 97, 98, 99, 100]\n",
      "[3, 4, 5, 8, 10, 12, 13, 18, 24, 26, 29, 32, 33, 34, 38, 41, 48, 70, 73, 75, 76, 83, 87, 88, 89, 97]\n",
      "----------------------\n",
      "Sequental matching ratio: 0.412698\n",
      "Index: 1 - 0\n",
      "[1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 96, 97, 98, 99, 100]\n",
      "[1, 2, 6, 15, 17, 25, 27, 28, 39, 43, 44, 46, 50, 52, 54, 62, 63, 67, 72, 78, 80, 84, 86, 92, 99, 100]\n",
      "----------------------\n",
      "graph: test400\n",
      "Sequental matching ratio: 1.000000\n",
      "Index: 0 - 3\n",
      "[51, 100, 131, 149, 209, 212, 221, 222, 236, 266, 274, 278, 293, 294, 295, 296, 297, 315, 317, 319, 324, 330, 331, 332, 334, 343, 356, 364]\n",
      "[51, 100, 131, 149, 209, 212, 221, 222, 236, 266, 274, 278, 293, 294, 295, 296, 297, 315, 317, 319, 324, 330, 331, 332, 334, 343, 356, 364]\n",
      "----------------------\n",
      "Sequental matching ratio: 1.000000\n",
      "Index: 1 - 7\n",
      "[25, 31, 34, 64, 82, 83, 98, 114, 117, 134, 135, 202, 225, 232, 233, 234, 242, 249, 256, 258, 264, 272, 273, 292, 299, 304, 310]\n",
      "[25, 31, 34, 64, 82, 83, 98, 114, 117, 134, 135, 202, 225, 232, 233, 234, 242, 249, 256, 258, 264, 272, 273, 292, 299, 304, 310]\n",
      "----------------------\n",
      "Sequental matching ratio: 1.000000\n",
      "Index: 2 - 5\n",
      "[11, 33, 61, 72, 86, 87, 96, 102, 115, 118, 119, 136, 164, 167, 170, 171, 178, 181, 193, 194, 197, 198, 203, 220]\n",
      "[11, 33, 61, 72, 86, 87, 96, 102, 115, 118, 119, 136, 164, 167, 170, 171, 178, 181, 193, 194, 197, 198, 203, 220]\n",
      "----------------------\n",
      "Sequental matching ratio: 1.000000\n",
      "Index: 3 - 4\n",
      "[3, 49, 84, 106, 109, 168, 196, 205, 215, 241, 252, 255, 262, 263, 283, 311, 318, 320, 328, 329, 336, 338, 339, 340, 341, 353, 354, 366]\n",
      "[3, 49, 84, 106, 109, 168, 196, 205, 215, 241, 252, 255, 262, 263, 283, 311, 318, 320, 328, 329, 336, 338, 339, 340, 341, 353, 354, 366]\n",
      "----------------------\n",
      "Sequental matching ratio: 1.000000\n",
      "Index: 5 - 0\n",
      "[20, 56, 116, 124, 143, 146, 155, 158, 182, 204, 210, 227, 230, 235, 238, 239, 240, 259, 279, 280, 285, 287, 288, 291, 306, 314, 316]\n",
      "[20, 56, 116, 124, 143, 146, 155, 158, 182, 204, 210, 227, 230, 235, 238, 239, 240, 259, 279, 280, 285, 287, 288, 291, 306, 314, 316]\n",
      "----------------------\n",
      "Sequental matching ratio: 1.000000\n",
      "Index: 7 - 2\n",
      "[2, 8, 32, 62, 92, 121, 122, 127, 139, 140, 152, 214, 216, 243, 245, 248, 261, 267, 281, 289, 290, 298, 300, 303, 308, 312, 327]\n",
      "[2, 8, 32, 62, 92, 121, 122, 127, 139, 140, 152, 214, 216, 243, 245, 248, 261, 267, 281, 289, 290, 298, 300, 303, 308, 312, 327]\n",
      "----------------------\n",
      "Sequental matching ratio: 1.000000\n",
      "Index: 8 - 8\n",
      "[17, 60, 120, 147, 159, 213, 223, 229, 246, 253, 254, 257, 268, 276, 277, 282, 286, 305, 321, 322, 325, 337, 348, 350, 358, 359, 360, 370]\n",
      "[17, 60, 120, 147, 159, 213, 223, 229, 246, 253, 254, 257, 268, 276, 277, 282, 286, 305, 321, 322, 325, 337, 348, 350, 358, 359, 360, 370]\n",
      "----------------------\n",
      "Sequental matching ratio: 1.000000\n",
      "Index: 10 - 10\n",
      "[5, 9, 27, 30, 37, 45, 50, 54, 58, 65, 69, 74, 76, 77, 80, 81, 90, 97, 99, 103, 133, 162]\n",
      "[5, 9, 27, 30, 37, 45, 50, 54, 58, 65, 69, 74, 76, 77, 80, 81, 90, 97, 99, 103, 133, 162]\n",
      "----------------------\n",
      "Sequental matching ratio: 1.000000\n",
      "Index: 12 - 1\n",
      "[10, 16, 19, 36, 41, 46, 55, 57, 63, 67, 70, 79, 101, 128, 130, 141, 142, 154, 156, 163, 165, 185, 195]\n",
      "[10, 16, 19, 36, 41, 46, 55, 57, 63, 67, 70, 79, 101, 128, 130, 141, 142, 154, 156, 163, 165, 185, 195]\n",
      "----------------------\n",
      "Sequental matching ratio: 1.000000\n",
      "Index: 14 - 9\n",
      "[23, 85, 123, 137, 150, 187, 199, 200, 237, 244, 250, 251, 260, 265, 301, 302, 307, 313, 323, 326, 333, 335, 342, 344, 345, 349, 367, 373]\n",
      "[23, 85, 123, 137, 150, 187, 199, 200, 237, 244, 250, 251, 260, 265, 301, 302, 307, 313, 323, 326, 333, 335, 342, 344, 345, 349, 367, 373]\n",
      "----------------------\n",
      "Sequental matching ratio: 0.458101\n",
      "Index: 9 - 6\n",
      "[1, 4, 6, 7, 12, 13, 14, 15, 18, 21, 22, 24, 26, 28, 29, 35, 38, 39, 40, 42, 43, 44, 47, 48, 52, 53, 59, 66, 68, 71, 73, 75, 78, 88, 89, 91, 93, 94, 95, 104, 105, 107, 108, 110, 111, 112, 113, 125, 126, 129, 132, 138, 144, 145, 148, 151, 153, 157, 160, 161, 166, 169, 172, 173, 174, 175, 176, 177, 179, 180, 183, 184, 186, 188, 189, 190, 191, 192, 201, 206, 207, 208, 211, 217, 218, 219, 224, 226, 228, 231, 247, 269, 270, 271, 275, 284, 309, 346, 347, 351, 352, 355, 357, 361, 362, 363, 365, 368, 369, 371, 372, 374, 375, 376, 377, 378, 379, 380, 381, 382, 383, 384, 385, 386, 387, 388, 389, 390, 391, 392, 393, 394, 395, 396, 397, 398, 399, 400]\n",
      "[346, 347, 351, 352, 355, 357, 361, 362, 363, 365, 368, 369, 371, 372, 374, 375, 376, 377, 378, 379, 380, 381, 382, 383, 384, 385, 386, 387, 388, 389, 390, 391, 392, 393, 394, 395, 396, 397, 398, 399, 400]\n",
      "----------------------\n",
      "graph: test1000\n",
      "Sequental matching ratio: 1.000000\n",
      "Index: 9 - 8\n",
      "[22, 60, 118, 144, 159, 178, 240, 257, 305, 322, 347, 357, 498, 539, 612, 702, 841, 864, 952, 960, 1000]\n",
      "[22, 60, 118, 144, 159, 178, 240, 257, 305, 322, 347, 357, 498, 539, 612, 702, 841, 864, 952, 960, 1000]\n",
      "----------------------\n",
      "Sequental matching ratio: 1.000000\n",
      "Index: 13 - 2\n",
      "[28, 107, 116, 181, 231, 235, 241, 374, 381, 404, 422, 469, 507, 556, 592, 732, 760, 814, 818, 834, 845, 850, 890, 912, 974]\n",
      "[28, 107, 116, 181, 231, 235, 241, 374, 381, 404, 422, 469, 507, 556, 592, 732, 760, 814, 818, 834, 845, 850, 890, 912, 974]\n",
      "----------------------\n",
      "Sequental matching ratio: 1.000000\n",
      "Index: 17 - 3\n",
      "[61, 71, 91, 97, 119, 122, 125, 143, 229, 359, 384, 477, 506, 625, 631, 680, 692, 703, 808, 812, 826, 847, 894, 958, 985]\n",
      "[61, 71, 91, 97, 119, 122, 125, 143, 229, 359, 384, 477, 506, 625, 631, 680, 692, 703, 808, 812, 826, 847, 894, 958, 985]\n",
      "----------------------\n",
      "Sequental matching ratio: 1.000000\n",
      "Index: 20 - 4\n",
      "[67, 85, 195, 206, 302, 310, 340, 346, 348, 399, 407, 430, 440, 494, 543, 582, 600, 630, 635, 674, 705, 721, 769, 911, 922, 948, 987]\n",
      "[67, 85, 195, 206, 302, 310, 340, 346, 348, 399, 407, 430, 440, 494, 543, 582, 600, 630, 635, 674, 705, 721, 769, 911, 922, 948, 987]\n",
      "----------------------\n",
      "Sequental matching ratio: 1.000000\n",
      "Index: 22 - 6\n",
      "[50, 212, 283, 354, 419, 426, 465, 561, 585, 639, 737, 788, 789, 797, 810, 915, 928, 936, 964, 965, 990]\n",
      "[50, 212, 283, 354, 419, 426, 465, 561, 585, 639, 737, 788, 789, 797, 810, 915, 928, 936, 964, 965, 990]\n",
      "----------------------\n",
      "Sequental matching ratio: 1.000000\n",
      "Index: 36 - 5\n",
      "[17, 18, 40, 84, 202, 203, 299, 313, 331, 385, 442, 474, 529, 552, 568, 591, 606, 656, 670, 755, 917, 920, 973, 989]\n",
      "[17, 18, 40, 84, 202, 203, 299, 313, 331, 385, 442, 474, 529, 552, 568, 591, 606, 656, 670, 755, 917, 920, 973, 989]\n",
      "----------------------\n",
      "Sequental matching ratio: 0.554455\n",
      "Index: 32 - 0\n",
      "[6, 10, 33, 38, 54, 59, 111, 126, 134, 142, 163, 173, 193, 194, 197, 207, 208, 219, 220, 238, 258, 275, 289, 294, 329, 358, 370, 376, 392, 409, 415, 424, 437, 450, 451, 480, 509, 511, 512, 531, 544, 546, 553, 587, 604, 610, 640, 647, 650, 651, 653, 659, 682, 700, 767, 772, 781, 782, 792, 801, 819, 849, 854, 879, 889, 897, 926, 929, 955, 983, 995, 996, 997]\n",
      "[10, 38, 59, 111, 142, 173, 197, 207, 208, 219, 238, 294, 329, 392, 415, 424, 544, 546, 587, 640, 772, 849, 879, 889, 929, 955, 983, 995]\n",
      "----------------------\n",
      "Sequental matching ratio: 0.517241\n",
      "Index: 23 - 1\n",
      "[68, 73, 81, 95, 99, 115, 132, 139, 152, 158, 165, 166, 179, 204, 215, 218, 259, 261, 272, 277, 291, 304, 320, 326, 327, 328, 334, 343, 360, 393, 406, 418, 435, 438, 459, 486, 487, 492, 493, 501, 505, 535, 559, 569, 579, 593, 595, 619, 622, 634, 636, 655, 660, 662, 663, 667, 672, 675, 687, 717, 723, 741, 742, 745, 747, 750, 770, 787, 800, 802, 804, 820, 836, 844, 870, 874, 875, 878, 881, 882, 888, 905, 921, 934, 980, 999]\n",
      "[73, 95, 99, 115, 132, 152, 204, 215, 304, 327, 334, 418, 435, 486, 559, 569, 634, 660, 662, 663, 717, 741, 745, 844, 875, 905, 921, 934, 980, 999]\n",
      "----------------------\n",
      "Sequental matching ratio: 0.510204\n",
      "Index: 15 - 0\n",
      "[6, 10, 33, 38, 54, 59, 111, 126, 134, 142, 163, 173, 193, 194, 197, 207, 208, 219, 220, 238, 258, 275, 289, 294, 329, 358, 370, 376, 392, 409, 415, 424, 437, 450, 451, 480, 509, 511, 512, 531, 544, 546, 553, 587, 604, 610, 640, 647, 650, 651, 653, 659, 682, 700, 767, 772, 781, 782, 792, 801, 819, 849, 854, 879, 889, 897, 926, 929, 955, 983, 995, 996, 997]\n",
      "[6, 54, 134, 194, 289, 358, 370, 376, 409, 437, 450, 451, 480, 511, 553, 604, 651, 653, 682, 767, 781, 792, 854, 926, 997]\n",
      "----------------------\n",
      "Sequental matching ratio: 0.509946\n",
      "Index: 39 - 7\n",
      "[1, 2, 3, 4, 5, 7, 8, 9, 11, 12, 13, 14, 15, 16, 19, 20, 21, 23, 24, 25, 26, 27, 29, 30, 31, 32, 34, 35, 36, 37, 39, 41, 42, 43, 44, 45, 46, 47, 48, 49, 51, 52, 53, 55, 56, 57, 58, 62, 63, 64, 65, 66, 69, 70, 72, 74, 75, 76, 77, 78, 79, 80, 82, 83, 86, 87, 88, 89, 90, 92, 93, 94, 96, 98, 100, 101, 102, 103, 104, 105, 106, 108, 109, 110, 112, 113, 114, 117, 120, 121, 123, 124, 127, 128, 129, 130, 131, 133, 135, 136, 137, 138, 140, 141, 145, 146, 147, 148, 149, 150, 151, 153, 154, 155, 156, 157, 160, 161, 162, 164, 167, 168, 169, 170, 171, 172, 174, 175, 176, 177, 180, 182, 183, 184, 185, 186, 187, 188, 189, 190, 191, 192, 196, 198, 199, 200, 201, 205, 209, 210, 211, 213, 214, 216, 217, 221, 222, 223, 224, 225, 226, 227, 228, 230, 232, 233, 234, 236, 237, 239, 242, 243, 244, 245, 246, 247, 248, 249, 250, 251, 252, 253, 254, 255, 256, 260, 262, 263, 264, 265, 266, 267, 268, 269, 270, 271, 273, 274, 276, 278, 279, 280, 281, 282, 284, 285, 286, 287, 288, 290, 292, 293, 295, 296, 297, 298, 300, 301, 303, 306, 307, 308, 309, 311, 312, 314, 315, 316, 317, 318, 319, 321, 323, 324, 325, 330, 332, 333, 335, 336, 337, 338, 339, 341, 342, 344, 345, 349, 350, 351, 352, 353, 355, 356, 361, 362, 363, 364, 365, 366, 367, 368, 369, 371, 372, 373, 375, 377, 378, 379, 380, 382, 383, 386, 387, 388, 389, 390, 391, 394, 395, 396, 397, 398, 400, 401, 402, 403, 405, 408, 410, 411, 412, 413, 414, 416, 417, 420, 421, 423, 425, 427, 428, 429, 431, 432, 433, 434, 436, 439, 441, 443, 444, 445, 446, 447, 448, 449, 452, 453, 454, 455, 456, 457, 458, 460, 461, 462, 463, 464, 466, 467, 468, 470, 471, 472, 473, 475, 476, 478, 479, 481, 482, 483, 484, 485, 488, 489, 490, 491, 495, 496, 497, 499, 500, 502, 503, 504, 508, 510, 513, 514, 515, 516, 517, 518, 519, 520, 521, 522, 523, 524, 525, 526, 527, 528, 530, 532, 533, 534, 536, 537, 538, 540, 541, 542, 545, 547, 548, 549, 550, 551, 554, 555, 557, 558, 560, 562, 563, 564, 565, 566, 567, 570, 571, 572, 573, 574, 575, 576, 577, 578, 580, 581, 583, 584, 586, 588, 589, 590, 594, 596, 597, 598, 599, 601, 602, 603, 605, 607, 608, 609, 611, 613, 614, 615, 616, 617, 618, 620, 621, 623, 624, 626, 627, 628, 629, 632, 633, 637, 638, 641, 642, 643, 644, 645, 646, 648, 649, 652, 654, 657, 658, 661, 664, 665, 666, 668, 669, 671, 673, 676, 677, 678, 679, 681, 683, 684, 685, 686, 688, 689, 690, 691, 693, 694, 695, 696, 697, 698, 699, 701, 704, 706, 707, 708, 709, 710, 711, 712, 713, 714, 715, 716, 718, 719, 720, 722, 724, 725, 726, 727, 728, 729, 730, 731, 733, 734, 735, 736, 738, 739, 740, 743, 744, 746, 748, 749, 751, 752, 753, 754, 756, 757, 758, 759, 761, 762, 763, 764, 765, 766, 768, 771, 773, 774, 775, 776, 777, 778, 779, 780, 783, 784, 785, 786, 790, 791, 793, 794, 795, 796, 798, 799, 803, 805, 806, 807, 809, 811, 813, 815, 816, 817, 821, 822, 823, 824, 825, 827, 828, 829, 830, 831, 832, 833, 835, 837, 838, 839, 840, 842, 843, 846, 848, 851, 852, 853, 855, 856, 857, 858, 859, 860, 861, 862, 863, 865, 866, 867, 868, 869, 871, 872, 873, 876, 877, 880, 883, 884, 885, 886, 887, 891, 892, 893, 895, 896, 898, 899, 900, 901, 902, 903, 904, 906, 907, 908, 909, 910, 913, 914, 916, 918, 919, 923, 924, 925, 927, 930, 931, 932, 933, 935, 937, 938, 939, 940, 941, 942, 943, 944, 945, 946, 947, 949, 950, 951, 953, 954, 956, 957, 959, 961, 962, 963, 966, 967, 968, 969, 970, 971, 972, 975, 976, 977, 978, 979, 981, 982, 984, 986, 988, 991, 992, 993, 994, 998]\n",
      "[1, 2, 4, 6, 7, 8, 9, 13, 14, 19, 25, 31, 34, 39, 46, 49, 55, 59, 60, 61, 62, 65, 66, 67, 68, 69, 70, 77, 78, 81, 82, 83, 87, 89, 92, 93, 94, 96, 97, 99, 101, 102, 103, 105, 107, 111, 116, 118, 124, 126, 131, 132, 133, 139, 143, 146, 147, 149, 157, 158, 167, 172, 174, 176, 179, 180, 182, 183, 184, 191, 193, 199, 204, 205, 208, 209, 211, 213, 215, 217, 220, 221, 223, 227, 232, 234, 235, 236, 238, 240, 241, 244, 245, 254, 255, 256, 260, 261, 262, 263, 267, 268, 269, 271, 272, 275, 277, 279, 280, 283, 287, 289, 293, 298, 299, 302, 303, 304, 310, 311, 314, 315, 316, 318, 319, 321, 323, 325, 326, 327, 328, 332, 333, 334, 335, 336, 346, 349, 353, 356, 359, 360, 361, 362, 364, 366, 367, 368, 371, 372, 374, 375, 377, 382, 383, 385, 386, 390, 392, 397, 399, 402, 403, 404, 407, 409, 410, 413, 417, 421, 423, 428, 429, 435, 436, 437, 438, 441, 445, 446, 448, 449, 450, 454, 455, 456, 457, 462, 464, 465, 468, 469, 470, 471, 475, 476, 477, 480, 481, 484, 486, 489, 494, 495, 497, 501, 503, 504, 508, 509, 511, 514, 518, 520, 521, 522, 523, 524, 525, 527, 532, 533, 535, 536, 537, 538, 540, 541, 544, 545, 546, 548, 554, 565, 576, 579, 582, 584, 585, 587, 591, 595, 596, 597, 602, 604, 605, 606, 609, 610, 611, 612, 614, 616, 618, 621, 622, 623, 638, 640, 643, 644, 647, 648, 650, 651, 656, 657, 660, 664, 665, 666, 668, 670, 673, 674, 678, 679, 684, 685, 686, 687, 689, 692, 694, 696, 703, 704, 705, 707, 709, 710, 712, 715, 717, 718, 720, 722, 724, 729, 731, 732, 735, 736, 738, 739, 742, 744, 745, 746, 749, 750, 754, 756, 757, 763, 765, 766, 769, 770, 771, 776, 777, 778, 779, 780, 782, 785, 787, 788, 789, 804, 805, 806, 807, 812, 815, 816, 819, 823, 825, 826, 829, 830, 835, 837, 838, 847, 849, 851, 852, 853, 854, 861, 863, 864, 867, 870, 871, 874, 877, 878, 880, 888, 889, 892, 893, 895, 901, 904, 905, 909, 911, 914, 917, 919, 920, 923, 924, 925, 930, 932, 933, 938, 941, 942, 944, 945, 949, 950, 951, 955, 958, 961, 962, 963, 964, 967, 969, 973, 977, 986, 987, 992, 994, 995, 996, 998]\n",
      "----------------------\n",
      "Sequental matching ratio: 0.504348\n",
      "Index: 3 - 1\n",
      "[68, 73, 81, 95, 99, 115, 132, 139, 152, 158, 165, 166, 179, 204, 215, 218, 259, 261, 272, 277, 291, 304, 320, 326, 327, 328, 334, 343, 360, 393, 406, 418, 435, 438, 459, 486, 487, 492, 493, 501, 505, 535, 559, 569, 579, 593, 595, 619, 622, 634, 636, 655, 660, 662, 663, 667, 672, 675, 687, 717, 723, 741, 742, 745, 747, 750, 770, 787, 800, 802, 804, 820, 836, 844, 870, 874, 875, 878, 881, 882, 888, 905, 921, 934, 980, 999]\n",
      "[81, 158, 165, 166, 261, 277, 291, 326, 328, 343, 393, 406, 438, 459, 501, 535, 622, 655, 667, 675, 742, 747, 770, 787, 804, 836, 870, 874, 882]\n",
      "----------------------\n",
      "Sequental matching ratio: 0.477876\n",
      "Index: 35 - 1\n",
      "[68, 73, 81, 95, 99, 115, 132, 139, 152, 158, 165, 166, 179, 204, 215, 218, 259, 261, 272, 277, 291, 304, 320, 326, 327, 328, 334, 343, 360, 393, 406, 418, 435, 438, 459, 486, 487, 492, 493, 501, 505, 535, 559, 569, 579, 593, 595, 619, 622, 634, 636, 655, 660, 662, 663, 667, 672, 675, 687, 717, 723, 741, 742, 745, 747, 750, 770, 787, 800, 802, 804, 820, 836, 844, 870, 874, 875, 878, 881, 882, 888, 905, 921, 934, 980, 999]\n",
      "[68, 139, 179, 218, 259, 272, 320, 360, 487, 492, 493, 505, 579, 593, 595, 619, 636, 672, 687, 723, 750, 800, 802, 820, 878, 881, 888]\n",
      "----------------------\n",
      "Sequental matching ratio: 0.430108\n",
      "Index: 37 - 0\n",
      "[6, 10, 33, 38, 54, 59, 111, 126, 134, 142, 163, 173, 193, 194, 197, 207, 208, 219, 220, 238, 258, 275, 289, 294, 329, 358, 370, 376, 392, 409, 415, 424, 437, 450, 451, 480, 509, 511, 512, 531, 544, 546, 553, 587, 604, 610, 640, 647, 650, 651, 653, 659, 682, 700, 767, 772, 781, 782, 792, 801, 819, 849, 854, 879, 889, 897, 926, 929, 955, 983, 995, 996, 997]\n",
      "[33, 126, 163, 193, 220, 258, 275, 509, 512, 531, 610, 647, 650, 659, 700, 782, 801, 819, 897, 996]\n",
      "----------------------\n",
      "Sequental matching ratio: 0.427711\n",
      "Index: 40 - 7\n",
      "[1, 2, 3, 4, 5, 7, 8, 9, 11, 12, 13, 14, 15, 16, 19, 20, 21, 23, 24, 25, 26, 27, 29, 30, 31, 32, 34, 35, 36, 37, 39, 41, 42, 43, 44, 45, 46, 47, 48, 49, 51, 52, 53, 55, 56, 57, 58, 62, 63, 64, 65, 66, 69, 70, 72, 74, 75, 76, 77, 78, 79, 80, 82, 83, 86, 87, 88, 89, 90, 92, 93, 94, 96, 98, 100, 101, 102, 103, 104, 105, 106, 108, 109, 110, 112, 113, 114, 117, 120, 121, 123, 124, 127, 128, 129, 130, 131, 133, 135, 136, 137, 138, 140, 141, 145, 146, 147, 148, 149, 150, 151, 153, 154, 155, 156, 157, 160, 161, 162, 164, 167, 168, 169, 170, 171, 172, 174, 175, 176, 177, 180, 182, 183, 184, 185, 186, 187, 188, 189, 190, 191, 192, 196, 198, 199, 200, 201, 205, 209, 210, 211, 213, 214, 216, 217, 221, 222, 223, 224, 225, 226, 227, 228, 230, 232, 233, 234, 236, 237, 239, 242, 243, 244, 245, 246, 247, 248, 249, 250, 251, 252, 253, 254, 255, 256, 260, 262, 263, 264, 265, 266, 267, 268, 269, 270, 271, 273, 274, 276, 278, 279, 280, 281, 282, 284, 285, 286, 287, 288, 290, 292, 293, 295, 296, 297, 298, 300, 301, 303, 306, 307, 308, 309, 311, 312, 314, 315, 316, 317, 318, 319, 321, 323, 324, 325, 330, 332, 333, 335, 336, 337, 338, 339, 341, 342, 344, 345, 349, 350, 351, 352, 353, 355, 356, 361, 362, 363, 364, 365, 366, 367, 368, 369, 371, 372, 373, 375, 377, 378, 379, 380, 382, 383, 386, 387, 388, 389, 390, 391, 394, 395, 396, 397, 398, 400, 401, 402, 403, 405, 408, 410, 411, 412, 413, 414, 416, 417, 420, 421, 423, 425, 427, 428, 429, 431, 432, 433, 434, 436, 439, 441, 443, 444, 445, 446, 447, 448, 449, 452, 453, 454, 455, 456, 457, 458, 460, 461, 462, 463, 464, 466, 467, 468, 470, 471, 472, 473, 475, 476, 478, 479, 481, 482, 483, 484, 485, 488, 489, 490, 491, 495, 496, 497, 499, 500, 502, 503, 504, 508, 510, 513, 514, 515, 516, 517, 518, 519, 520, 521, 522, 523, 524, 525, 526, 527, 528, 530, 532, 533, 534, 536, 537, 538, 540, 541, 542, 545, 547, 548, 549, 550, 551, 554, 555, 557, 558, 560, 562, 563, 564, 565, 566, 567, 570, 571, 572, 573, 574, 575, 576, 577, 578, 580, 581, 583, 584, 586, 588, 589, 590, 594, 596, 597, 598, 599, 601, 602, 603, 605, 607, 608, 609, 611, 613, 614, 615, 616, 617, 618, 620, 621, 623, 624, 626, 627, 628, 629, 632, 633, 637, 638, 641, 642, 643, 644, 645, 646, 648, 649, 652, 654, 657, 658, 661, 664, 665, 666, 668, 669, 671, 673, 676, 677, 678, 679, 681, 683, 684, 685, 686, 688, 689, 690, 691, 693, 694, 695, 696, 697, 698, 699, 701, 704, 706, 707, 708, 709, 710, 711, 712, 713, 714, 715, 716, 718, 719, 720, 722, 724, 725, 726, 727, 728, 729, 730, 731, 733, 734, 735, 736, 738, 739, 740, 743, 744, 746, 748, 749, 751, 752, 753, 754, 756, 757, 758, 759, 761, 762, 763, 764, 765, 766, 768, 771, 773, 774, 775, 776, 777, 778, 779, 780, 783, 784, 785, 786, 790, 791, 793, 794, 795, 796, 798, 799, 803, 805, 806, 807, 809, 811, 813, 815, 816, 817, 821, 822, 823, 824, 825, 827, 828, 829, 830, 831, 832, 833, 835, 837, 838, 839, 840, 842, 843, 846, 848, 851, 852, 853, 855, 856, 857, 858, 859, 860, 861, 862, 863, 865, 866, 867, 868, 869, 871, 872, 873, 876, 877, 880, 883, 884, 885, 886, 887, 891, 892, 893, 895, 896, 898, 899, 900, 901, 902, 903, 904, 906, 907, 908, 909, 910, 913, 914, 916, 918, 919, 923, 924, 925, 927, 930, 931, 932, 933, 935, 937, 938, 939, 940, 941, 942, 943, 944, 945, 946, 947, 949, 950, 951, 953, 954, 956, 957, 959, 961, 962, 963, 966, 967, 968, 969, 970, 971, 972, 975, 976, 977, 978, 979, 981, 982, 984, 986, 988, 991, 992, 993, 994, 998]\n",
      "[11, 12, 15, 17, 18, 20, 22, 26, 29, 30, 37, 38, 41, 43, 44, 52, 53, 56, 57, 63, 74, 75, 80, 85, 90, 91, 95, 98, 104, 106, 112, 113, 114, 115, 117, 119, 120, 122, 123, 125, 128, 129, 130, 136, 137, 141, 144, 148, 152, 154, 156, 160, 162, 163, 166, 168, 169, 171, 175, 177, 187, 188, 189, 196, 198, 200, 201, 203, 210, 212, 222, 226, 229, 233, 242, 243, 248, 250, 252, 257, 258, 270, 274, 276, 282, 285, 286, 288, 295, 300, 305, 308, 320, 324, 331, 338, 339, 340, 341, 342, 343, 345, 347, 348, 351, 355, 365, 370, 376, 378, 379, 381, 384, 387, 389, 391, 393, 394, 396, 398, 406, 411, 415, 416, 422, 426, 427, 432, 434, 439, 444, 447, 458, 460, 461, 467, 473, 482, 483, 490, 491, 496, 502, 505, 506, 510, 512, 513, 515, 516, 526, 530, 534, 547, 549, 550, 551, 552, 553, 556, 558, 560, 561, 563, 566, 567, 568, 569, 570, 571, 572, 574, 575, 577, 583, 586, 588, 590, 592, 601, 603, 613, 617, 619, 624, 625, 628, 629, 630, 631, 632, 634, 637, 639, 641, 649, 652, 655, 659, 661, 671, 677, 683, 690, 693, 698, 699, 701, 702, 708, 713, 714, 723, 725, 728, 737, 741, 743, 748, 752, 753, 755, 762, 768, 775, 781, 783, 786, 790, 792, 798, 799, 803, 808, 809, 810, 813, 817, 818, 820, 821, 822, 824, 827, 828, 832, 833, 839, 841, 843, 844, 845, 846, 859, 868, 869, 879, 881, 883, 884, 885, 886, 887, 890, 891, 898, 902, 903, 908, 910, 912, 913, 918, 921, 926, 928, 929, 935, 936, 937, 939, 943, 946, 948, 952, 956, 957, 968, 970, 974, 976, 980, 982, 983, 984, 989, 999, 1000]\n",
      "----------------------\n",
      "Sequental matching ratio: 0.409274\n",
      "Index: 41 - 7\n",
      "[1, 2, 3, 4, 5, 7, 8, 9, 11, 12, 13, 14, 15, 16, 19, 20, 21, 23, 24, 25, 26, 27, 29, 30, 31, 32, 34, 35, 36, 37, 39, 41, 42, 43, 44, 45, 46, 47, 48, 49, 51, 52, 53, 55, 56, 57, 58, 62, 63, 64, 65, 66, 69, 70, 72, 74, 75, 76, 77, 78, 79, 80, 82, 83, 86, 87, 88, 89, 90, 92, 93, 94, 96, 98, 100, 101, 102, 103, 104, 105, 106, 108, 109, 110, 112, 113, 114, 117, 120, 121, 123, 124, 127, 128, 129, 130, 131, 133, 135, 136, 137, 138, 140, 141, 145, 146, 147, 148, 149, 150, 151, 153, 154, 155, 156, 157, 160, 161, 162, 164, 167, 168, 169, 170, 171, 172, 174, 175, 176, 177, 180, 182, 183, 184, 185, 186, 187, 188, 189, 190, 191, 192, 196, 198, 199, 200, 201, 205, 209, 210, 211, 213, 214, 216, 217, 221, 222, 223, 224, 225, 226, 227, 228, 230, 232, 233, 234, 236, 237, 239, 242, 243, 244, 245, 246, 247, 248, 249, 250, 251, 252, 253, 254, 255, 256, 260, 262, 263, 264, 265, 266, 267, 268, 269, 270, 271, 273, 274, 276, 278, 279, 280, 281, 282, 284, 285, 286, 287, 288, 290, 292, 293, 295, 296, 297, 298, 300, 301, 303, 306, 307, 308, 309, 311, 312, 314, 315, 316, 317, 318, 319, 321, 323, 324, 325, 330, 332, 333, 335, 336, 337, 338, 339, 341, 342, 344, 345, 349, 350, 351, 352, 353, 355, 356, 361, 362, 363, 364, 365, 366, 367, 368, 369, 371, 372, 373, 375, 377, 378, 379, 380, 382, 383, 386, 387, 388, 389, 390, 391, 394, 395, 396, 397, 398, 400, 401, 402, 403, 405, 408, 410, 411, 412, 413, 414, 416, 417, 420, 421, 423, 425, 427, 428, 429, 431, 432, 433, 434, 436, 439, 441, 443, 444, 445, 446, 447, 448, 449, 452, 453, 454, 455, 456, 457, 458, 460, 461, 462, 463, 464, 466, 467, 468, 470, 471, 472, 473, 475, 476, 478, 479, 481, 482, 483, 484, 485, 488, 489, 490, 491, 495, 496, 497, 499, 500, 502, 503, 504, 508, 510, 513, 514, 515, 516, 517, 518, 519, 520, 521, 522, 523, 524, 525, 526, 527, 528, 530, 532, 533, 534, 536, 537, 538, 540, 541, 542, 545, 547, 548, 549, 550, 551, 554, 555, 557, 558, 560, 562, 563, 564, 565, 566, 567, 570, 571, 572, 573, 574, 575, 576, 577, 578, 580, 581, 583, 584, 586, 588, 589, 590, 594, 596, 597, 598, 599, 601, 602, 603, 605, 607, 608, 609, 611, 613, 614, 615, 616, 617, 618, 620, 621, 623, 624, 626, 627, 628, 629, 632, 633, 637, 638, 641, 642, 643, 644, 645, 646, 648, 649, 652, 654, 657, 658, 661, 664, 665, 666, 668, 669, 671, 673, 676, 677, 678, 679, 681, 683, 684, 685, 686, 688, 689, 690, 691, 693, 694, 695, 696, 697, 698, 699, 701, 704, 706, 707, 708, 709, 710, 711, 712, 713, 714, 715, 716, 718, 719, 720, 722, 724, 725, 726, 727, 728, 729, 730, 731, 733, 734, 735, 736, 738, 739, 740, 743, 744, 746, 748, 749, 751, 752, 753, 754, 756, 757, 758, 759, 761, 762, 763, 764, 765, 766, 768, 771, 773, 774, 775, 776, 777, 778, 779, 780, 783, 784, 785, 786, 790, 791, 793, 794, 795, 796, 798, 799, 803, 805, 806, 807, 809, 811, 813, 815, 816, 817, 821, 822, 823, 824, 825, 827, 828, 829, 830, 831, 832, 833, 835, 837, 838, 839, 840, 842, 843, 846, 848, 851, 852, 853, 855, 856, 857, 858, 859, 860, 861, 862, 863, 865, 866, 867, 868, 869, 871, 872, 873, 876, 877, 880, 883, 884, 885, 886, 887, 891, 892, 893, 895, 896, 898, 899, 900, 901, 902, 903, 904, 906, 907, 908, 909, 910, 913, 914, 916, 918, 919, 923, 924, 925, 927, 930, 931, 932, 933, 935, 937, 938, 939, 940, 941, 942, 943, 944, 945, 946, 947, 949, 950, 951, 953, 954, 956, 957, 959, 961, 962, 963, 966, 967, 968, 969, 970, 971, 972, 975, 976, 977, 978, 979, 981, 982, 984, 986, 988, 991, 992, 993, 994, 998]\n",
      "[3, 5, 10, 16, 21, 23, 24, 27, 28, 32, 33, 35, 36, 40, 42, 45, 47, 48, 50, 51, 54, 58, 64, 71, 72, 73, 76, 79, 84, 86, 88, 100, 108, 109, 110, 121, 127, 134, 135, 138, 140, 142, 145, 150, 151, 153, 155, 159, 161, 164, 165, 170, 173, 178, 181, 185, 186, 190, 192, 194, 195, 197, 202, 206, 207, 214, 216, 218, 219, 224, 225, 228, 230, 231, 237, 239, 246, 247, 249, 251, 253, 259, 264, 265, 266, 273, 278, 281, 284, 290, 291, 292, 294, 296, 297, 301, 306, 307, 309, 312, 313, 317, 322, 329, 330, 337, 344, 350, 352, 354, 357, 358, 363, 369, 373, 380, 388, 395, 400, 401, 405, 408, 412, 414, 418, 419, 420, 424, 425, 430, 431, 433, 440, 442, 443, 451, 452, 453, 459, 463, 466, 472, 474, 478, 479, 485, 487, 488, 492, 493, 498, 499, 500, 507, 517, 519, 528, 529, 531, 539, 542, 543, 555, 557, 559, 562, 564, 573, 578, 580, 581, 589, 593, 594, 598, 599, 600, 607, 608, 615, 620, 626, 627, 633, 635, 636, 642, 645, 646, 653, 654, 658, 662, 663, 667, 669, 672, 675, 676, 680, 681, 682, 688, 691, 695, 697, 700, 706, 711, 716, 719, 721, 726, 727, 730, 733, 734, 740, 747, 751, 758, 759, 760, 761, 764, 767, 772, 773, 774, 784, 791, 793, 794, 795, 796, 797, 800, 801, 802, 811, 814, 831, 834, 836, 840, 842, 848, 850, 855, 856, 857, 858, 860, 862, 865, 866, 872, 873, 875, 876, 882, 894, 896, 897, 899, 900, 906, 907, 915, 916, 922, 927, 931, 934, 940, 947, 953, 954, 959, 960, 965, 966, 971, 972, 975, 978, 979, 981, 985, 988, 990, 991, 993, 997]\n",
      "----------------------\n"
     ]
    }
   ],
   "source": [
    "limiter = 0.4\n",
    "for i in range(len(gs)):\n",
    "    print(\"graph: %s\" % gnames[i])\n",
    "    getHighestRatios(ratio_A_n_labelprop[i], 25, com_A[i], get_comms(gs[i], \"nlabelprop\"), limiter)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 51,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Number of communities in test75 graph: 5\n",
      "Clique Percolation Communities (k=3):\n",
      "[[2, 24, 263, 590, 757], [3, 338, 661, 827], [4, 429, 790], [5, 319, 361, 380, 502, 779, 862, 969], [6, 376, 781], [7], [8, 98, 290, 839, 927, 935, 967], [10, 142, 238, 587, 879], [11, 245, 260, 353, 378], [12, 558, 743, 780], [13, 350, 391, 500, 641, 818, 883, 984], [16, 96, 101, 318, 961], [17, 606], [19, 226, 266, 372, 397, 466, 473, 513, 763, 822, 910, 979], [20, 22, 60, 322, 347, 539, 1000], [21], [26, 395, 773, 778], [27, 133, 270, 992], [31], [32, 94, 100], [34, 75, 530, 585, 644, 649, 853, 877], [35, 960], [36, 104, 138, 146, 349, 483, 484, 534, 638, 676, 694, 719, 829, 831, 886, 901, 918, 993], [39, 427, 863], [43, 315, 363], [44, 872], [45, 62, 953], [46, 402, 428, 626, 700, 843, 856, 937], [47, 161, 247, 386, 401, 416, 433, 444, 471, 491, 517, 555, 560, 594, 712, 798, 914, 916, 925], [48, 697], [50, 212, 283, 354, 419, 425, 426, 465, 561, 639, 737, 788, 789, 797, 810, 915, 936, 964, 965, 990], [51, 365, 771, 970], [52, 306, 388, 400], [53, 549], [54, 553, 653], [55, 92, 210, 336, 536], [56, 77, 184, 267, 303, 681, 784, 957], [58, 463, 489, 533, 581, 615, 665, 668, 748, 791, 945], [59, 294], [61, 477, 894], [63, 190, 307, 704, 706, 835, 900, 977], [64, 978], [65, 339, 971], [67, 721, 769], [69, 373, 648], [71, 384, 703], [72, 157, 548], [73, 660], [74, 693], [78, 298, 867], [79, 162, 227, 278, 532, 611, 698, 735, 751, 766, 941, 951], [80], [81, 406, 501, 675, 747, 787, 836, 874, 882], [83, 108], [84, 202, 474, 529, 568, 591, 656, 677, 917, 989], [85, 206, 348], [86, 605, 608, 707], [87, 113, 714], [88, 183, 233, 280, 282, 455, 621, 733, 761, 764, 842, 865, 869, 902, 909, 968, 985], [89, 175, 449], [90, 988], [93, 309], [95, 844, 875], [99, 418, 905, 980], [105, 521], [106, 356, 448, 540, 545], [107, 116, 890], [109, 295, 718, 880], [110, 414, 447, 922], [111, 208, 424, 772, 849, 995], [114, 153, 899], [115, 152, 711, 934], [118, 305, 702, 841], [119, 359, 631, 680, 808, 826, 986], [120, 577, 617], [121, 251, 684], [122, 229, 958], [123, 154, 396], [125, 625], [126, 275, 531], [127, 389, 786, 793, 887], [128, 551], [129, 413], [131, 252, 495, 515, 765, 838], [132, 215, 304, 327, 334, 435, 559, 569, 634, 663, 717, 741, 745, 921, 999], [134, 370, 450], [135, 265, 563], [136, 216], [137, 185, 211, 371, 392, 446, 550, 673, 837], [139, 403, 493, 636], [140, 601, 715], [141, 375], [143, 506, 692], [144], [145, 456], [147, 177, 333], [148, 628], [149, 155, 242, 243, 443, 565, 632, 646, 716, 823], [150, 596, 666, 701], [151, 657, 699, 896], [158, 343, 393], [159, 357], [160, 323, 906], [165, 207, 329, 955], [166, 655, 870], [167, 516, 892], [168, 523, 526, 825, 982], [169, 873], [170, 454, 609, 830], [171], [173, 929], [174, 620, 746, 776, 956], [178], [179, 672, 802], [180, 398, 946], [181, 235, 374, 404, 422, 469, 507, 556, 592, 732, 824, 834, 850, 912, 974], [186, 352, 458, 571, 607, 754, 942], [188, 731], [191, 273, 775], [192, 959], [193, 220, 689, 710], [194, 651, 767, 854], [195, 440, 600], [196, 537], [198, 739, 898], [199, 431, 453], [204, 662], [205, 583, 624, 851, 907], [209, 387], [214], [217, 439, 756], [218, 750], [219, 472, 954], [221, 296, 708], [222], [223, 475, 618], [228, 279, 652, 686], [230], [231, 381, 814], [232, 457], [234, 479, 803, 860], [236, 390], [237, 274, 461, 470, 567, 768, 809, 828, 994], [239, 478, 855], [240, 257], [246, 614, 758], [248], [253, 412], [254, 276, 574], [255, 394, 554, 642, 749, 895], [256], [258, 509, 512, 610, 647, 650, 659, 819, 897], [259, 360, 687], [261, 291], [262, 744], [269, 658, 720], [277, 770, 804], [281, 730, 774], [284, 637], [286, 589, 962], [287, 421, 753], [289, 409, 480, 511, 604, 997], [299, 313, 670], [302, 494, 630], [310, 340, 399, 430, 543, 582, 635, 674, 705, 923, 987], [311, 312, 410, 411, 476, 616, 669, 725, 752, 866, 891, 939], [314, 623], [316, 503], [317, 451], [320, 878, 881], [321, 727, 859], [324, 379, 522, 524, 527, 685, 852], [325, 724], [326, 382, 438, 464, 667], [328, 888, 973], [332, 432, 728, 846], [337, 627, 796], [342, 570, 799], [355, 690], [362, 868, 938], [364, 368, 481, 573, 858], [366, 932], [367, 417, 602], [369, 800, 972], [377, 519], [383, 434], [385, 552], [405, 508, 597], [407], [408], [420, 485], [423, 504], [436, 734], [437, 682], [441, 510, 678, 738], [445, 794, 840], [459, 488, 535], [460, 564, 949], [467, 943], [468, 497, 547, 557, 584], [482, 833, 983], [487, 593], [490, 562, 588, 696], [492, 505], [499], [520, 729, 805], [525, 930], [528], [538, 586, 742, 998], [544, 963], [546, 640], [572, 931, 940], [575, 726, 740], [578, 991], [579, 723], [580, 857], [598, 629, 885], [612, 889], [622, 933], [633, 801, 848], [643, 981], [645], [654, 975], [664, 806, 815], [671, 928, 952], [679, 785, 920], [683, 817], [688, 691, 760], [709], [722], [736, 876], [759, 777, 811, 871], [762, 821, 913], [782, 919, 996], [783, 976], [792, 903, 926], [795, 947], [807], [812, 847], [813, 908, 948], [816, 861], [820, 845], [832], [864, 893, 944], [884], [904, 924, 950], [911], [966]]\n",
      "[[0.0, 0.37209302325581395, 0.21428571428571427, 0.07142857142857142, 0.21428571428571427], [0.0, 0.5348837209302325, 0.0, 0.07142857142857142, 0.0], [0.07692307692307693, 0.5116279069767442, 0.0, 0.07142857142857142, 0.0], [0.0, 0.37333333333333335, 0.0, 0.0, 0.0], [0.0, 0.2028985507246377, 0.0, 0.0, 0.0], [0.0, 0.2318840579710145, 0.0, 0.0, 0.0], [0.0, 0.12121212121212122, 0.0, 0.0, 0.0], [0.25, 0.11764705882352941, 0.0, 0.0, 0.4], [0.0, 0.35443037974683544, 0.19047619047619047, 0.0, 0.09523809523809523], [0.0, 0.2535211267605634, 0.15384615384615385, 0.0, 0.0], [0.0, 0.030303030303030304, 0.0, 0.75, 0.0]]\n"
     ]
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 576x576 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Non-zero values average: 0.318794\n",
      "---------------------------------------\n",
      "Number of communities in test100 graph: 2\n",
      "Clique Percolation Communities (k=3):\n",
      "[[2, 24, 263, 590, 757], [3, 338, 661, 827], [4, 429, 790], [5, 319, 361, 380, 502, 779, 862, 969], [6, 376, 781], [7], [8, 98, 290, 839, 927, 935, 967], [10, 142, 238, 587, 879], [11, 245, 260, 353, 378], [12, 558, 743, 780], [13, 350, 391, 500, 641, 818, 883, 984], [16, 96, 101, 318, 961], [17, 606], [19, 226, 266, 372, 397, 466, 473, 513, 763, 822, 910, 979], [20, 22, 60, 322, 347, 539, 1000], [21], [26, 395, 773, 778], [27, 133, 270, 992], [31], [32, 94, 100], [34, 75, 530, 585, 644, 649, 853, 877], [35, 960], [36, 104, 138, 146, 349, 483, 484, 534, 638, 676, 694, 719, 829, 831, 886, 901, 918, 993], [39, 427, 863], [43, 315, 363], [44, 872], [45, 62, 953], [46, 402, 428, 626, 700, 843, 856, 937], [47, 161, 247, 386, 401, 416, 433, 444, 471, 491, 517, 555, 560, 594, 712, 798, 914, 916, 925], [48, 697], [50, 212, 283, 354, 419, 425, 426, 465, 561, 639, 737, 788, 789, 797, 810, 915, 936, 964, 965, 990], [51, 365, 771, 970], [52, 306, 388, 400], [53, 549], [54, 553, 653], [55, 92, 210, 336, 536], [56, 77, 184, 267, 303, 681, 784, 957], [58, 463, 489, 533, 581, 615, 665, 668, 748, 791, 945], [59, 294], [61, 477, 894], [63, 190, 307, 704, 706, 835, 900, 977], [64, 978], [65, 339, 971], [67, 721, 769], [69, 373, 648], [71, 384, 703], [72, 157, 548], [73, 660], [74, 693], [78, 298, 867], [79, 162, 227, 278, 532, 611, 698, 735, 751, 766, 941, 951], [80], [81, 406, 501, 675, 747, 787, 836, 874, 882], [83, 108], [84, 202, 474, 529, 568, 591, 656, 677, 917, 989], [85, 206, 348], [86, 605, 608, 707], [87, 113, 714], [88, 183, 233, 280, 282, 455, 621, 733, 761, 764, 842, 865, 869, 902, 909, 968, 985], [89, 175, 449], [90, 988], [93, 309], [95, 844, 875], [99, 418, 905, 980], [105, 521], [106, 356, 448, 540, 545], [107, 116, 890], [109, 295, 718, 880], [110, 414, 447, 922], [111, 208, 424, 772, 849, 995], [114, 153, 899], [115, 152, 711, 934], [118, 305, 702, 841], [119, 359, 631, 680, 808, 826, 986], [120, 577, 617], [121, 251, 684], [122, 229, 958], [123, 154, 396], [125, 625], [126, 275, 531], [127, 389, 786, 793, 887], [128, 551], [129, 413], [131, 252, 495, 515, 765, 838], [132, 215, 304, 327, 334, 435, 559, 569, 634, 663, 717, 741, 745, 921, 999], [134, 370, 450], [135, 265, 563], [136, 216], [137, 185, 211, 371, 392, 446, 550, 673, 837], [139, 403, 493, 636], [140, 601, 715], [141, 375], [143, 506, 692], [144], [145, 456], [147, 177, 333], [148, 628], [149, 155, 242, 243, 443, 565, 632, 646, 716, 823], [150, 596, 666, 701], [151, 657, 699, 896], [158, 343, 393], [159, 357], [160, 323, 906], [165, 207, 329, 955], [166, 655, 870], [167, 516, 892], [168, 523, 526, 825, 982], [169, 873], [170, 454, 609, 830], [171], [173, 929], [174, 620, 746, 776, 956], [178], [179, 672, 802], [180, 398, 946], [181, 235, 374, 404, 422, 469, 507, 556, 592, 732, 824, 834, 850, 912, 974], [186, 352, 458, 571, 607, 754, 942], [188, 731], [191, 273, 775], [192, 959], [193, 220, 689, 710], [194, 651, 767, 854], [195, 440, 600], [196, 537], [198, 739, 898], [199, 431, 453], [204, 662], [205, 583, 624, 851, 907], [209, 387], [214], [217, 439, 756], [218, 750], [219, 472, 954], [221, 296, 708], [222], [223, 475, 618], [228, 279, 652, 686], [230], [231, 381, 814], [232, 457], [234, 479, 803, 860], [236, 390], [237, 274, 461, 470, 567, 768, 809, 828, 994], [239, 478, 855], [240, 257], [246, 614, 758], [248], [253, 412], [254, 276, 574], [255, 394, 554, 642, 749, 895], [256], [258, 509, 512, 610, 647, 650, 659, 819, 897], [259, 360, 687], [261, 291], [262, 744], [269, 658, 720], [277, 770, 804], [281, 730, 774], [284, 637], [286, 589, 962], [287, 421, 753], [289, 409, 480, 511, 604, 997], [299, 313, 670], [302, 494, 630], [310, 340, 399, 430, 543, 582, 635, 674, 705, 923, 987], [311, 312, 410, 411, 476, 616, 669, 725, 752, 866, 891, 939], [314, 623], [316, 503], [317, 451], [320, 878, 881], [321, 727, 859], [324, 379, 522, 524, 527, 685, 852], [325, 724], [326, 382, 438, 464, 667], [328, 888, 973], [332, 432, 728, 846], [337, 627, 796], [342, 570, 799], [355, 690], [362, 868, 938], [364, 368, 481, 573, 858], [366, 932], [367, 417, 602], [369, 800, 972], [377, 519], [383, 434], [385, 552], [405, 508, 597], [407], [408], [420, 485], [423, 504], [436, 734], [437, 682], [441, 510, 678, 738], [445, 794, 840], [459, 488, 535], [460, 564, 949], [467, 943], [468, 497, 547, 557, 584], [482, 833, 983], [487, 593], [490, 562, 588, 696], [492, 505], [499], [520, 729, 805], [525, 930], [528], [538, 586, 742, 998], [544, 963], [546, 640], [572, 931, 940], [575, 726, 740], [578, 991], [579, 723], [580, 857], [598, 629, 885], [612, 889], [622, 933], [633, 801, 848], [643, 981], [645], [654, 975], [664, 806, 815], [671, 928, 952], [679, 785, 920], [683, 817], [688, 691, 760], [709], [722], [736, 876], [759, 777, 811, 871], [762, 821, 913], [782, 919, 996], [783, 976], [792, 903, 926], [795, 947], [807], [812, 847], [813, 908, 948], [816, 861], [820, 845], [832], [864, 893, 944], [884], [904, 924, 950], [911], [966]]\n",
      "[[0.35294117647058826, 0.30303030303030304], [0.4369747899159664, 0.0], [0.39316239316239315, 0.06451612903225806], [0.39316239316239315, 0.06451612903225806], [0.0, 0.8333333333333334], [0.3508771929824561, 0.07142857142857142], [0.10204081632653061, 0.0], [0.14, 0.0], [0.5970149253731343, 0.041666666666666664], [0.14, 0.0], [0.17647058823529413, 0.0], [0.10204081632653061, 0.0]]\n"
     ]
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 576x576 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Non-zero values average: 0.334835\n",
      "---------------------------------------\n",
      "Number of communities in test400 graph: 4\n",
      "Clique Percolation Communities (k=3):\n",
      "[[2, 24, 263, 590, 757], [3, 338, 661, 827], [4, 429, 790], [5, 319, 361, 380, 502, 779, 862, 969], [6, 376, 781], [7], [8, 98, 290, 839, 927, 935, 967], [10, 142, 238, 587, 879], [11, 245, 260, 353, 378], [12, 558, 743, 780], [13, 350, 391, 500, 641, 818, 883, 984], [16, 96, 101, 318, 961], [17, 606], [19, 226, 266, 372, 397, 466, 473, 513, 763, 822, 910, 979], [20, 22, 60, 322, 347, 539, 1000], [21], [26, 395, 773, 778], [27, 133, 270, 992], [31], [32, 94, 100], [34, 75, 530, 585, 644, 649, 853, 877], [35, 960], [36, 104, 138, 146, 349, 483, 484, 534, 638, 676, 694, 719, 829, 831, 886, 901, 918, 993], [39, 427, 863], [43, 315, 363], [44, 872], [45, 62, 953], [46, 402, 428, 626, 700, 843, 856, 937], [47, 161, 247, 386, 401, 416, 433, 444, 471, 491, 517, 555, 560, 594, 712, 798, 914, 916, 925], [48, 697], [50, 212, 283, 354, 419, 425, 426, 465, 561, 639, 737, 788, 789, 797, 810, 915, 936, 964, 965, 990], [51, 365, 771, 970], [52, 306, 388, 400], [53, 549], [54, 553, 653], [55, 92, 210, 336, 536], [56, 77, 184, 267, 303, 681, 784, 957], [58, 463, 489, 533, 581, 615, 665, 668, 748, 791, 945], [59, 294], [61, 477, 894], [63, 190, 307, 704, 706, 835, 900, 977], [64, 978], [65, 339, 971], [67, 721, 769], [69, 373, 648], [71, 384, 703], [72, 157, 548], [73, 660], [74, 693], [78, 298, 867], [79, 162, 227, 278, 532, 611, 698, 735, 751, 766, 941, 951], [80], [81, 406, 501, 675, 747, 787, 836, 874, 882], [83, 108], [84, 202, 474, 529, 568, 591, 656, 677, 917, 989], [85, 206, 348], [86, 605, 608, 707], [87, 113, 714], [88, 183, 233, 280, 282, 455, 621, 733, 761, 764, 842, 865, 869, 902, 909, 968, 985], [89, 175, 449], [90, 988], [93, 309], [95, 844, 875], [99, 418, 905, 980], [105, 521], [106, 356, 448, 540, 545], [107, 116, 890], [109, 295, 718, 880], [110, 414, 447, 922], [111, 208, 424, 772, 849, 995], [114, 153, 899], [115, 152, 711, 934], [118, 305, 702, 841], [119, 359, 631, 680, 808, 826, 986], [120, 577, 617], [121, 251, 684], [122, 229, 958], [123, 154, 396], [125, 625], [126, 275, 531], [127, 389, 786, 793, 887], [128, 551], [129, 413], [131, 252, 495, 515, 765, 838], [132, 215, 304, 327, 334, 435, 559, 569, 634, 663, 717, 741, 745, 921, 999], [134, 370, 450], [135, 265, 563], [136, 216], [137, 185, 211, 371, 392, 446, 550, 673, 837], [139, 403, 493, 636], [140, 601, 715], [141, 375], [143, 506, 692], [144], [145, 456], [147, 177, 333], [148, 628], [149, 155, 242, 243, 443, 565, 632, 646, 716, 823], [150, 596, 666, 701], [151, 657, 699, 896], [158, 343, 393], [159, 357], [160, 323, 906], [165, 207, 329, 955], [166, 655, 870], [167, 516, 892], [168, 523, 526, 825, 982], [169, 873], [170, 454, 609, 830], [171], [173, 929], [174, 620, 746, 776, 956], [178], [179, 672, 802], [180, 398, 946], [181, 235, 374, 404, 422, 469, 507, 556, 592, 732, 824, 834, 850, 912, 974], [186, 352, 458, 571, 607, 754, 942], [188, 731], [191, 273, 775], [192, 959], [193, 220, 689, 710], [194, 651, 767, 854], [195, 440, 600], [196, 537], [198, 739, 898], [199, 431, 453], [204, 662], [205, 583, 624, 851, 907], [209, 387], [214], [217, 439, 756], [218, 750], [219, 472, 954], [221, 296, 708], [222], [223, 475, 618], [228, 279, 652, 686], [230], [231, 381, 814], [232, 457], [234, 479, 803, 860], [236, 390], [237, 274, 461, 470, 567, 768, 809, 828, 994], [239, 478, 855], [240, 257], [246, 614, 758], [248], [253, 412], [254, 276, 574], [255, 394, 554, 642, 749, 895], [256], [258, 509, 512, 610, 647, 650, 659, 819, 897], [259, 360, 687], [261, 291], [262, 744], [269, 658, 720], [277, 770, 804], [281, 730, 774], [284, 637], [286, 589, 962], [287, 421, 753], [289, 409, 480, 511, 604, 997], [299, 313, 670], [302, 494, 630], [310, 340, 399, 430, 543, 582, 635, 674, 705, 923, 987], [311, 312, 410, 411, 476, 616, 669, 725, 752, 866, 891, 939], [314, 623], [316, 503], [317, 451], [320, 878, 881], [321, 727, 859], [324, 379, 522, 524, 527, 685, 852], [325, 724], [326, 382, 438, 464, 667], [328, 888, 973], [332, 432, 728, 846], [337, 627, 796], [342, 570, 799], [355, 690], [362, 868, 938], [364, 368, 481, 573, 858], [366, 932], [367, 417, 602], [369, 800, 972], [377, 519], [383, 434], [385, 552], [405, 508, 597], [407], [408], [420, 485], [423, 504], [436, 734], [437, 682], [441, 510, 678, 738], [445, 794, 840], [459, 488, 535], [460, 564, 949], [467, 943], [468, 497, 547, 557, 584], [482, 833, 983], [487, 593], [490, 562, 588, 696], [492, 505], [499], [520, 729, 805], [525, 930], [528], [538, 586, 742, 998], [544, 963], [546, 640], [572, 931, 940], [575, 726, 740], [578, 991], [579, 723], [580, 857], [598, 629, 885], [612, 889], [622, 933], [633, 801, 848], [643, 981], [645], [654, 975], [664, 806, 815], [671, 928, 952], [679, 785, 920], [683, 817], [688, 691, 760], [709], [722], [736, 876], [759, 777, 811, 871], [762, 821, 913], [782, 919, 996], [783, 976], [792, 903, 926], [795, 947], [807], [812, 847], [813, 908, 948], [816, 861], [820, 845], [832], [864, 893, 944], [884], [904, 924, 950], [911], [966]]\n",
      "[[0.12470023980815348, 0.06451612903225806, 0.0, 0.06451612903225806], [0.1201923076923077, 0.06666666666666667, 0.0625, 0.0], [0.10653753026634383, 0.0, 0.06896551724137931, 0.07407407407407407], [0.1342925659472422, 0.0, 0.0, 0.0], [0.12530120481927712, 0.0, 0.0, 0.0], [0.125, 0.0, 0.0625, 0.0], [0.11138014527845036, 0.0, 0.06896551724137931, 0.0], [0.12980769230769232, 0.0, 0.0, 0.0], [0.1342925659472422, 0.0, 0.0, 0.0], [0.19069767441860466, 0.0, 0.0, 0.0], [0.1070559610705596, 0.0, 0.0, 0.0], [0.1070559610705596, 0.0, 0.0, 0.0], [0.11165048543689321, 0.0, 0.0, 0.0], [0.12077294685990338, 0.0, 0.0, 0.0], [0.11990407673860912, 0.06451612903225806, 0.06060606060606061, 0.06451612903225806], [0.05012531328320802, 0.0, 0.0, 0.0], [0.05012531328320802, 0.0, 0.0, 0.0], [0.04522613065326633, 0.0, 0.0, 0.0], [0.04030226700251889, 0.0, 0.0, 0.0], [0.04030226700251889, 0.0, 0.0, 0.0], [0.055, 0.0, 0.0, 0.0], [0.03535353535353535, 0.0, 0.0, 0.0], [0.059850374064837904, 0.0, 0.0, 0.0], [0.059850374064837904, 0.0, 0.0, 0.0], [0.025380710659898477, 0.0, 0.0, 0.0], [0.025380710659898477, 0.0, 0.0, 0.0], [0.055, 0.0, 0.0, 0.0], [0.04522613065326633, 0.0, 0.0, 0.0], [0.025380710659898477, 0.0, 0.0, 0.0], [0.059850374064837904, 0.0, 0.0, 0.0], [0.04, 0.0, 0.0, 0.42857142857142855], [0.025380710659898477, 0.0, 0.0, 0.0], [0.05012531328320802, 0.0, 0.0, 0.0], [0.055, 0.0, 0.0, 0.0], [0.059850374064837904, 0.0, 0.0, 0.0], [0.04522613065326633, 0.0, 0.0, 0.0], [0.05012531328320802, 0.0, 0.0, 0.0], [0.020202020202020204, 0.6, 0.0, 0.0], [0.04030226700251889, 0.0, 0.0, 0.0], [0.030379746835443037, 0.0, 0.0, 0.0], [0.05012531328320802, 0.0, 0.0, 0.0], [0.04522613065326633, 0.0, 0.0, 0.0], [0.04522613065326633, 0.0, 0.0, 0.0], [0.030379746835443037, 0.0, 0.0, 0.0], [0.025380710659898477, 0.0, 0.0, 0.0], [0.025380710659898477, 0.0, 0.0, 0.0], [0.030379746835443037, 0.0, 0.0, 0.0], [0.030379746835443037, 0.0, 0.0, 0.0], [0.055, 0.0, 0.0, 0.0], [0.05012531328320802, 0.0, 0.0, 0.0], [0.03535353535353535, 0.0, 0.0, 0.0], [0.04030226700251889, 0.0, 0.0, 0.0], [0.04030226700251889, 0.0, 0.0, 0.0], [0.059850374064837904, 0.0, 0.0, 0.0], [0.025380710659898477, 0.0, 0.0, 0.0], [0.005063291139240506, 0.0, 0.9090909090909091, 0.0], [0.030379746835443037, 0.0, 0.0, 0.0], [0.03535353535353535, 0.0, 0.0, 0.0], [0.04522613065326633, 0.0, 0.0, 0.0], [0.04522613065326633, 0.0, 0.0, 0.0], [0.05012531328320802, 0.0, 0.0, 0.0], [0.04030226700251889, 0.0, 0.0, 0.0], [0.025380710659898477, 0.0, 0.0, 0.0]]\n"
     ]
    },
    {
     "data": {
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      "text/plain": [
       "<Figure size 576x576 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Non-zero values average: 0.087289\n",
      "---------------------------------------\n",
      "Number of communities in test1000 graph: 248\n",
      "Clique Percolation Communities (k=3):\n",
      "[[2, 24, 263, 590, 757], [3, 338, 661, 827], [4, 429, 790], [5, 319, 361, 380, 502, 779, 862, 969], [6, 376, 781], [7], [8, 98, 290, 839, 927, 935, 967], [10, 142, 238, 587, 879], [11, 245, 260, 353, 378], [12, 558, 743, 780], [13, 350, 391, 500, 641, 818, 883, 984], [16, 96, 101, 318, 961], [17, 606], [19, 226, 266, 372, 397, 466, 473, 513, 763, 822, 910, 979], [20, 22, 60, 322, 347, 539, 1000], [21], [26, 395, 773, 778], [27, 133, 270, 992], [31], [32, 94, 100], [34, 75, 530, 585, 644, 649, 853, 877], [35, 960], [36, 104, 138, 146, 349, 483, 484, 534, 638, 676, 694, 719, 829, 831, 886, 901, 918, 993], [39, 427, 863], [43, 315, 363], [44, 872], [45, 62, 953], [46, 402, 428, 626, 700, 843, 856, 937], [47, 161, 247, 386, 401, 416, 433, 444, 471, 491, 517, 555, 560, 594, 712, 798, 914, 916, 925], [48, 697], [50, 212, 283, 354, 419, 425, 426, 465, 561, 639, 737, 788, 789, 797, 810, 915, 936, 964, 965, 990], [51, 365, 771, 970], [52, 306, 388, 400], [53, 549], [54, 553, 653], [55, 92, 210, 336, 536], [56, 77, 184, 267, 303, 681, 784, 957], [58, 463, 489, 533, 581, 615, 665, 668, 748, 791, 945], [59, 294], [61, 477, 894], [63, 190, 307, 704, 706, 835, 900, 977], [64, 978], [65, 339, 971], [67, 721, 769], [69, 373, 648], [71, 384, 703], [72, 157, 548], [73, 660], [74, 693], [78, 298, 867], [79, 162, 227, 278, 532, 611, 698, 735, 751, 766, 941, 951], [80], [81, 406, 501, 675, 747, 787, 836, 874, 882], [83, 108], [84, 202, 474, 529, 568, 591, 656, 677, 917, 989], [85, 206, 348], [86, 605, 608, 707], [87, 113, 714], [88, 183, 233, 280, 282, 455, 621, 733, 761, 764, 842, 865, 869, 902, 909, 968, 985], [89, 175, 449], [90, 988], [93, 309], [95, 844, 875], [99, 418, 905, 980], [105, 521], [106, 356, 448, 540, 545], [107, 116, 890], [109, 295, 718, 880], [110, 414, 447, 922], [111, 208, 424, 772, 849, 995], [114, 153, 899], [115, 152, 711, 934], [118, 305, 702, 841], [119, 359, 631, 680, 808, 826, 986], [120, 577, 617], [121, 251, 684], [122, 229, 958], [123, 154, 396], [125, 625], [126, 275, 531], [127, 389, 786, 793, 887], [128, 551], [129, 413], [131, 252, 495, 515, 765, 838], [132, 215, 304, 327, 334, 435, 559, 569, 634, 663, 717, 741, 745, 921, 999], [134, 370, 450], [135, 265, 563], [136, 216], [137, 185, 211, 371, 392, 446, 550, 673, 837], [139, 403, 493, 636], [140, 601, 715], [141, 375], [143, 506, 692], [144], [145, 456], [147, 177, 333], [148, 628], [149, 155, 242, 243, 443, 565, 632, 646, 716, 823], [150, 596, 666, 701], [151, 657, 699, 896], [158, 343, 393], [159, 357], [160, 323, 906], [165, 207, 329, 955], [166, 655, 870], [167, 516, 892], [168, 523, 526, 825, 982], [169, 873], [170, 454, 609, 830], [171], [173, 929], [174, 620, 746, 776, 956], [178], [179, 672, 802], [180, 398, 946], [181, 235, 374, 404, 422, 469, 507, 556, 592, 732, 824, 834, 850, 912, 974], [186, 352, 458, 571, 607, 754, 942], [188, 731], [191, 273, 775], [192, 959], [193, 220, 689, 710], [194, 651, 767, 854], [195, 440, 600], [196, 537], [198, 739, 898], [199, 431, 453], [204, 662], [205, 583, 624, 851, 907], [209, 387], [214], [217, 439, 756], [218, 750], [219, 472, 954], [221, 296, 708], [222], [223, 475, 618], [228, 279, 652, 686], [230], [231, 381, 814], [232, 457], [234, 479, 803, 860], [236, 390], [237, 274, 461, 470, 567, 768, 809, 828, 994], [239, 478, 855], [240, 257], [246, 614, 758], [248], [253, 412], [254, 276, 574], [255, 394, 554, 642, 749, 895], [256], [258, 509, 512, 610, 647, 650, 659, 819, 897], [259, 360, 687], [261, 291], [262, 744], [269, 658, 720], [277, 770, 804], [281, 730, 774], [284, 637], [286, 589, 962], [287, 421, 753], [289, 409, 480, 511, 604, 997], [299, 313, 670], [302, 494, 630], [310, 340, 399, 430, 543, 582, 635, 674, 705, 923, 987], [311, 312, 410, 411, 476, 616, 669, 725, 752, 866, 891, 939], [314, 623], [316, 503], [317, 451], [320, 878, 881], [321, 727, 859], [324, 379, 522, 524, 527, 685, 852], [325, 724], [326, 382, 438, 464, 667], [328, 888, 973], [332, 432, 728, 846], [337, 627, 796], [342, 570, 799], [355, 690], [362, 868, 938], [364, 368, 481, 573, 858], [366, 932], [367, 417, 602], [369, 800, 972], [377, 519], [383, 434], [385, 552], [405, 508, 597], [407], [408], [420, 485], [423, 504], [436, 734], [437, 682], [441, 510, 678, 738], [445, 794, 840], [459, 488, 535], [460, 564, 949], [467, 943], [468, 497, 547, 557, 584], [482, 833, 983], [487, 593], [490, 562, 588, 696], [492, 505], [499], [520, 729, 805], [525, 930], [528], [538, 586, 742, 998], [544, 963], [546, 640], [572, 931, 940], [575, 726, 740], [578, 991], [579, 723], [580, 857], [598, 629, 885], [612, 889], [622, 933], [633, 801, 848], [643, 981], [645], [654, 975], [664, 806, 815], [671, 928, 952], [679, 785, 920], [683, 817], [688, 691, 760], [709], [722], [736, 876], [759, 777, 811, 871], [762, 821, 913], [782, 919, 996], [783, 976], [792, 903, 926], [795, 947], [807], [812, 847], [813, 908, 948], [816, 861], [820, 845], [832], [864, 893, 944], [884], [904, 924, 950], [911], [966]]\n",
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\n",
      "text/plain": [
       "<Figure size 576x576 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Non-zero values average: 0.284590\n",
      "---------------------------------------\n"
     ]
    }
   ],
   "source": [
    "ratio_A_perccliq_3, avg_A_perccliq_3 = [], []\n",
    "for i in range(len(gs)):\n",
    "    com_perccliq_3 = get_comms(gs[i], \"aperccliq3\")\n",
    "    print(\"Number of communities in %s graph: %s\" % (gnames[i], len(com_perccliq_3)))\n",
    "    print(\"Clique Percolation Communities (k=3):\")\n",
    "    print(sorted(com_kcliq_3))\n",
    "    r_A_perccliq_3 = seq_match(com_A[i], com_perccliq_3)\n",
    "    print(r_A_perccliq_3)\n",
    "    ratio_A_perccliq_3.append(r_A_perccliq_3)\n",
    "    plt.figure(figsize=(8,8))\n",
    "    plt.imshow(r_A_perccliq_3, cmap=plt.cm.Purples, interpolation='nearest')\n",
    "    plt.show()\n",
    "    a_A_perccliq_3 = nonzeroavg(r_A_perccliq_3)\n",
    "    print(\"Non-zero values average: %f\" % a_A_perccliq_3)\n",
    "    avg_A_perccliq_3.append(a_A_perccliq_3)\n",
    "    print(sprtr)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 52,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "graph: test75\n",
      "Sequental matching ratio: 0.750000\n",
      "Index: 10 - 3\n",
      "[35, 54, 55]\n",
      "[1, 21, 35, 54, 55]\n",
      "----------------------\n",
      "Sequental matching ratio: 0.534884\n",
      "Index: 1 - 1\n",
      "[1, 2, 4, 5, 7, 9, 10, 12, 14, 15, 16, 17, 18, 19, 20, 22, 23, 25, 26, 27, 28, 29, 30, 32, 33, 34, 36, 37, 38, 39, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 56, 57, 58, 59, 60, 61, 63, 64, 65, 66, 67, 68, 69, 70, 71, 73, 74, 75]\n",
      "[1, 10, 11, 15, 16, 19, 23, 37, 42, 43, 44, 45, 46, 47, 50, 52, 55, 56, 57, 59, 61, 66, 70, 71, 75]\n",
      "----------------------\n",
      "Sequental matching ratio: 0.511628\n",
      "Index: 2 - 1\n",
      "[1, 2, 4, 5, 7, 9, 10, 12, 14, 15, 16, 17, 18, 19, 20, 22, 23, 25, 26, 27, 28, 29, 30, 32, 33, 34, 36, 37, 38, 39, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 56, 57, 58, 59, 60, 61, 63, 64, 65, 66, 67, 68, 69, 70, 71, 73, 74, 75]\n",
      "[2, 7, 9, 14, 18, 21, 22, 24, 25, 28, 32, 33, 34, 38, 41, 51, 53, 54, 60, 63, 64, 65, 67, 68, 74]\n",
      "----------------------\n",
      "graph: test100\n",
      "Sequental matching ratio: 0.833333\n",
      "Index: 4 - 1\n",
      "[8, 19, 22, 34, 41, 88, 97]\n",
      "[8, 19, 22, 34, 41]\n",
      "----------------------\n",
      "Sequental matching ratio: 0.597015\n",
      "Index: 8 - 0\n",
      "[1, 2, 3, 4, 5, 6, 7, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 20, 21, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 35, 36, 37, 38, 39, 40, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 89, 90, 91, 92, 93, 94, 95, 96, 98, 99, 100]\n",
      "[3, 5, 7, 11, 12, 16, 20, 30, 31, 35, 37, 38, 42, 47, 48, 49, 55, 57, 58, 61, 62, 63, 64, 72, 74, 76, 77, 78, 80, 83, 84, 85, 86, 90, 91, 92, 93, 94, 97, 98, 100]\n",
      "----------------------\n",
      "Sequental matching ratio: 0.436975\n",
      "Index: 1 - 0\n",
      "[1, 2, 3, 4, 5, 6, 7, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 20, 21, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 35, 36, 37, 38, 39, 40, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 89, 90, 91, 92, 93, 94, 95, 96, 98, 99, 100]\n",
      "[1, 2, 6, 15, 17, 25, 27, 28, 39, 43, 44, 46, 50, 52, 54, 62, 63, 67, 72, 78, 80, 84, 86, 92, 99, 100]\n",
      "----------------------\n",
      "graph: test400\n",
      "Sequental matching ratio: 0.909091\n",
      "Index: 55 - 2\n",
      "[118, 135, 172, 285, 344]\n",
      "[118, 135, 145, 172, 285, 344]\n",
      "----------------------\n",
      "Sequental matching ratio: 0.600000\n",
      "Index: 37 - 1\n",
      "[34, 274, 342]\n",
      "[7, 34, 69, 124, 207, 274, 342]\n",
      "----------------------\n",
      "Sequental matching ratio: 0.428571\n",
      "Index: 30 - 3\n",
      "[167, 297, 301]\n",
      "[8, 25, 42, 60, 68, 167, 210, 248, 290, 297, 301]\n",
      "----------------------\n",
      "graph: test1000\n",
      "Sequental matching ratio: 0.926829\n",
      "Index: 22 - 79\n",
      "[50, 212, 283, 354, 419, 425, 426, 465, 561, 639, 737, 788, 789, 797, 810, 915, 936, 964, 965, 990]\n",
      "[50, 212, 283, 354, 419, 426, 465, 561, 585, 639, 737, 788, 789, 797, 810, 915, 928, 936, 964, 965, 990]\n",
      "----------------------\n",
      "Sequental matching ratio: 0.800000\n",
      "Index: 27 - 85\n",
      "[36, 104, 138, 146, 349, 483, 484, 534, 638, 676, 694, 719, 829, 831, 886, 901, 918, 993]\n",
      "[36, 42, 104, 138, 146, 160, 249, 323, 349, 405, 462, 483, 484, 508, 534, 597, 638, 676, 694, 719, 829, 831, 886, 901, 906, 918, 993]\n",
      "----------------------\n",
      "Sequental matching ratio: 0.700000\n",
      "Index: 13 - 37\n",
      "[181, 235, 374, 404, 422, 469, 507, 556, 592, 732, 824, 834, 850, 912, 974]\n",
      "[28, 107, 116, 181, 231, 235, 241, 374, 381, 404, 422, 469, 507, 556, 592, 732, 760, 814, 818, 834, 845, 850, 890, 912, 974]\n",
      "----------------------\n",
      "Sequental matching ratio: 0.666667\n",
      "Index: 2 - 25\n",
      "[79, 162, 227, 278, 532, 611, 698, 735, 751, 766, 941, 951]\n",
      "[79, 88, 156, 162, 201, 227, 234, 278, 479, 542, 611, 689, 698, 735, 751, 766, 803, 860, 923, 941, 951]\n",
      "----------------------\n",
      "Sequental matching ratio: 0.666667\n",
      "Index: 5 - 109\n",
      "[88, 183, 233, 280, 282, 455, 621, 733, 761, 764, 842, 865, 869, 902, 909, 968, 985]\n",
      "[1, 117, 151, 183, 217, 233, 280, 282, 308, 439, 455, 578, 621, 657, 699, 733, 756, 761, 764, 842, 865, 869, 896, 902, 909, 919, 968, 991]\n",
      "----------------------\n",
      "Sequental matching ratio: 0.666667\n",
      "Index: 6 - 89\n",
      "[58, 463, 489, 533, 581, 615, 665, 668, 748, 791, 945]\n",
      "[55, 58, 92, 210, 336, 342, 463, 489, 533, 536, 570, 581, 615, 665, 668, 724, 748, 791, 806, 848, 913, 945]\n",
      "----------------------\n",
      "Sequental matching ratio: 0.666667\n",
      "Index: 23 - 48\n",
      "[132, 215, 304, 327, 334, 435, 559, 569, 634, 663, 717, 741, 745, 921, 999]\n",
      "[73, 95, 99, 115, 132, 152, 204, 215, 304, 327, 334, 418, 435, 486, 559, 569, 634, 660, 662, 663, 717, 741, 745, 844, 875, 905, 921, 934, 980, 999]\n",
      "----------------------\n",
      "Sequental matching ratio: 0.648649\n",
      "Index: 25 - 4\n",
      "[19, 226, 266, 372, 397, 466, 473, 513, 763, 822, 910, 979]\n",
      "[7, 19, 180, 226, 266, 366, 372, 397, 398, 466, 473, 513, 524, 688, 691, 711, 738, 763, 809, 822, 861, 910, 939, 946, 979]\n",
      "----------------------\n",
      "Sequental matching ratio: 0.620690\n",
      "Index: 37 - 110\n",
      "[258, 509, 512, 610, 647, 650, 659, 819, 897]\n",
      "[33, 126, 163, 193, 220, 258, 275, 509, 512, 531, 610, 647, 650, 659, 700, 782, 801, 819, 897, 996]\n",
      "----------------------\n",
      "Sequental matching ratio: 0.594595\n",
      "Index: 29 - 20\n",
      "[311, 312, 410, 411, 476, 616, 669, 725, 752, 866, 891, 939]\n",
      "[41, 44, 182, 199, 311, 312, 410, 411, 425, 431, 453, 454, 464, 476, 616, 669, 725, 739, 752, 813, 866, 872, 891, 898, 903]\n",
      "----------------------\n",
      "Sequental matching ratio: 0.540541\n",
      "Index: 10 - 64\n",
      "[149, 155, 242, 243, 443, 565, 632, 646, 716, 823]\n",
      "[32, 72, 94, 100, 147, 149, 155, 157, 169, 177, 223, 225, 242, 243, 262, 264, 333, 443, 548, 565, 618, 632, 645, 646, 716, 823, 873]\n",
      "----------------------\n",
      "Sequental matching ratio: 0.533333\n",
      "Index: 1 - 47\n",
      "[63, 190, 307, 704, 706, 835, 900, 977]\n",
      "[11, 63, 123, 154, 190, 245, 260, 307, 353, 378, 396, 627, 633, 679, 704, 706, 825, 835, 900, 908, 944, 977]\n",
      "----------------------\n",
      "Sequental matching ratio: 0.529412\n",
      "Index: 36 - 84\n",
      "[84, 202, 474, 529, 568, 591, 656, 677, 917, 989]\n",
      "[17, 18, 40, 84, 202, 203, 299, 313, 331, 385, 442, 474, 529, 552, 568, 591, 606, 656, 670, 755, 917, 920, 973, 989]\n",
      "----------------------\n",
      "Sequental matching ratio: 0.526316\n",
      "Index: 20 - 30\n",
      "[310, 340, 399, 430, 543, 582, 635, 674, 705, 923, 987]\n",
      "[67, 85, 195, 206, 302, 310, 340, 346, 348, 399, 407, 430, 440, 494, 543, 582, 600, 630, 635, 674, 705, 721, 769, 911, 922, 948, 987]\n",
      "----------------------\n",
      "Sequental matching ratio: 0.518519\n",
      "Index: 26 - 53\n",
      "[186, 352, 458, 571, 607, 754, 942]\n",
      "[35, 121, 186, 251, 316, 325, 352, 403, 420, 458, 485, 503, 571, 577, 607, 643, 684, 754, 942, 981]\n",
      "----------------------\n",
      "Sequental matching ratio: 0.516129\n",
      "Index: 11 - 114\n",
      "[5, 319, 361, 380, 502, 779, 862, 969]\n",
      "[5, 27, 69, 93, 112, 133, 224, 270, 309, 319, 361, 373, 380, 467, 502, 648, 683, 779, 817, 862, 969, 976, 992]\n",
      "----------------------\n",
      "Sequental matching ratio: 0.478261\n",
      "Index: 12 - 6\n",
      "[47, 161, 247, 386, 401, 416, 433, 444, 471, 491, 517, 555, 560, 594, 712, 798, 914, 916, 925]\n",
      "[43, 47, 103, 129, 164, 189, 236, 247, 301, 315, 363, 386, 390, 413, 433, 471, 491, 517, 532, 555, 560, 566, 824, 916, 925, 932, 972]\n",
      "----------------------\n",
      "Sequental matching ratio: 0.473684\n",
      "Index: 3 - 146\n",
      "[81, 406, 501, 675, 747, 787, 836, 874, 882]\n",
      "[81, 158, 165, 166, 261, 277, 291, 326, 328, 343, 393, 406, 438, 459, 501, 535, 622, 655, 667, 675, 742, 747, 770, 787, 804, 836, 870, 874, 882]\n",
      "----------------------\n",
      "Sequental matching ratio: 0.461538\n",
      "Index: 38 - 177\n",
      "[255, 394, 554, 642, 749, 895]\n",
      "[48, 136, 140, 141, 216, 255, 369, 375, 394, 554, 598, 601, 629, 642, 697, 709, 715, 749, 885, 895]\n",
      "----------------------\n",
      "Sequental matching ratio: 0.444444\n",
      "Index: 30 - 8\n",
      "[324, 379, 522, 524, 527, 685, 852]\n",
      "[21, 29, 228, 253, 279, 287, 324, 379, 414, 421, 423, 472, 504, 522, 527, 652, 685, 686, 753, 852]\n",
      "----------------------\n",
      "Sequental matching ratio: 0.432432\n",
      "Index: 8 - 34\n",
      "[56, 77, 184, 267, 303, 681, 784, 957]\n",
      "[39, 56, 70, 77, 80, 150, 184, 248, 267, 303, 355, 362, 427, 452, 482, 525, 596, 666, 681, 690, 701, 784, 805, 863, 868, 930, 938, 947, 957]\n",
      "----------------------\n",
      "Sequental matching ratio: 0.428571\n",
      "Index: 9 - 100\n",
      "[20, 22, 60, 322, 347, 539, 1000]\n",
      "[22, 60, 118, 144, 159, 178, 240, 257, 305, 322, 347, 357, 498, 539, 612, 702, 841, 864, 952, 960, 1000]\n",
      "----------------------\n",
      "Sequental matching ratio: 0.424242\n",
      "Index: 28 - 80\n",
      "[8, 98, 290, 839, 927, 935, 967]\n",
      "[8, 12, 13, 89, 98, 175, 271, 284, 290, 350, 391, 449, 499, 500, 558, 637, 641, 743, 780, 839, 883, 927, 933, 935, 967, 984]\n",
      "----------------------\n",
      "Sequental matching ratio: 0.411765\n",
      "Index: 14 - 54\n",
      "[46, 402, 428, 626, 700, 843, 856, 937]\n",
      "[46, 52, 76, 83, 108, 171, 306, 321, 388, 400, 402, 428, 572, 603, 626, 710, 727, 799, 843, 856, 859, 931, 937, 940, 950, 978]\n",
      "----------------------\n",
      "Sequental matching ratio: 0.410256\n",
      "Index: 28 - 39\n",
      "[13, 350, 391, 500, 641, 818, 883, 984]\n",
      "[8, 12, 13, 89, 98, 175, 271, 284, 290, 350, 391, 449, 499, 500, 558, 637, 641, 743, 780, 839, 883, 927, 933, 935, 967, 984]\n",
      "----------------------\n"
     ]
    }
   ],
   "source": [
    "limiter = 0.4\n",
    "for i in range(len(gs)):\n",
    "    print(\"graph: %s\" % gnames[i])\n",
    "    getHighestRatios(ratio_A_perccliq_3[i], 25, com_A[i], get_comms(gs[i], \"aperccliq3\"), limiter)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 53,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Number of communities in test75 graph: 7\n",
      "Clique Percolation Communities (k=4):\n",
      "[[21, 379, 527, 685, 852], [50, 797, 915, 990], [79, 227, 751, 941], [86, 608, 707, 807], [88, 689, 698, 951], [111, 424, 772, 849], [127, 793, 832, 887], [280, 733, 865, 919], [407, 600, 635, 705], [438, 622, 667, 874], [455, 621, 902, 991], [458, 485, 571, 754, 942], [463, 489, 724, 791], [483, 638, 719, 993], [523, 526, 893, 982], [561, 928, 936, 965], [568, 917, 973, 989], [582, 674, 911, 922, 948, 987], [636, 760, 814, 850], [644, 649, 853, 877], [737, 964], [808, 812, 847, 985]]\n",
      "[[0.36363636363636365, 0.07142857142857142, 0.07142857142857142, 0.0, 0.0, 0.05714285714285714, 0.0], [0.06060606060606061, 0.07142857142857142, 0.0, 0.14814814814814814, 0.0, 0.34285714285714286, 0.20689655172413793], [0.06060606060606061, 0.07142857142857142, 0.14285714285714285, 0.0, 0.3870967741935484, 0.17142857142857143, 0.06896551724137931], [0.7272727272727273, 0.0, 0.0, 0.0, 0.1, 0.0, 0.0], [0.0, 0.0, 0.0, 0.4, 0.42857142857142855, 0.0, 0.0], [0.0, 0.5454545454545454, 0.0, 0.0, 0.14285714285714285, 0.1111111111111111, 0.0], [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], [0.0, 0.0, 0.0, 0.0, 0.0, 0.11764705882352941, 0.0], [0.0, 0.0, 0.0, 0.0, 0.08333333333333333, 0.42857142857142855, 0.36363636363636365], [0.0, 0.0, 0.46153846153846156, 0.0, 0.0, 0.2, 0.0], [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0]]\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 576x576 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Non-zero values average: 0.284768\n",
      "---------------------------------------\n",
      "Number of communities in test100 graph: 5\n",
      "Clique Percolation Communities (k=4):\n",
      "[[21, 379, 527, 685, 852], [50, 797, 915, 990], [79, 227, 751, 941], [86, 608, 707, 807], [88, 689, 698, 951], [111, 424, 772, 849], [127, 793, 832, 887], [280, 733, 865, 919], [407, 600, 635, 705], [438, 622, 667, 874], [455, 621, 902, 991], [458, 485, 571, 754, 942], [463, 489, 724, 791], [483, 638, 719, 993], [523, 526, 893, 982], [561, 928, 936, 965], [568, 917, 973, 989], [582, 674, 911, 922, 948, 987], [636, 760, 814, 850], [644, 649, 853, 877], [737, 964], [808, 812, 847, 985]]\n",
      "[[0.1728395061728395, 0.13333333333333333, 0.26666666666666666, 0.0, 0.06060606060606061], [0.49382716049382713, 0.0, 0.0, 0.0, 0.18181818181818182], [0.3037974683544304, 0.07142857142857142, 0.0, 0.0, 0.06451612903225806], [0.4050632911392405, 0.07142857142857142, 0.0, 0.2857142857142857, 0.12903225806451613], [0.0, 0.0, 0.6666666666666666, 0.0, 0.0], [0.42105263157894735, 0.0, 0.0, 0.08, 0.0], [0.16666666666666666, 0.0, 0.0, 0.0, 0.0], [0.1935483870967742, 0.0, 0.0, 0.0, 0.0], [0.5833333333333334, 0.0, 0.044444444444444446, 0.044444444444444446, 0.0], [0.0, 0.7272727272727273, 0.0, 0.0, 0.0], [0.0, 0.0, 0.0, 0.0, 0.875], [0.0, 0.0, 0.0, 0.4444444444444444, 0.0]]\n"
     ]
    },
    {
     "data": {
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      "text/plain": [
       "<Figure size 576x576 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Non-zero values average: 0.440014\n",
      "---------------------------------------\n",
      "Number of communities in test400 graph: 27\n",
      "Clique Percolation Communities (k=4):\n",
      "[[21, 379, 527, 685, 852], [50, 797, 915, 990], [79, 227, 751, 941], [86, 608, 707, 807], [88, 689, 698, 951], [111, 424, 772, 849], [127, 793, 832, 887], [280, 733, 865, 919], [407, 600, 635, 705], [438, 622, 667, 874], [455, 621, 902, 991], [458, 485, 571, 754, 942], [463, 489, 724, 791], [483, 638, 719, 993], [523, 526, 893, 982], [561, 928, 936, 965], [568, 917, 973, 989], [582, 674, 911, 922, 948, 987], [636, 760, 814, 850], [644, 649, 853, 877], [737, 964], [808, 812, 847, 985]]\n",
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\n",
      "text/plain": [
       "<Figure size 576x576 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Non-zero values average: 0.253261\n",
      "---------------------------------------\n",
      "Number of communities in test1000 graph: 22\n",
      "Clique Percolation Communities (k=4):\n",
      "[[21, 379, 527, 685, 852], [50, 797, 915, 990], [79, 227, 751, 941], [86, 608, 707, 807], [88, 689, 698, 951], [111, 424, 772, 849], [127, 793, 832, 887], [280, 733, 865, 919], [407, 600, 635, 705], [438, 622, 667, 874], [455, 621, 902, 991], [458, 485, 571, 754, 942], [463, 489, 724, 791], [483, 638, 719, 993], [523, 526, 893, 982], [561, 928, 936, 965], [568, 917, 973, 989], [582, 674, 911, 922, 948, 987], [636, 760, 814, 850], [644, 649, 853, 877], [737, 964], [808, 812, 847, 985]]\n",
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\n",
      "text/plain": [
       "<Figure size 576x576 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Non-zero values average: 0.205592\n",
      "---------------------------------------\n"
     ]
    }
   ],
   "source": [
    "ratio_A_perccliq_4, avg_A_perccliq_4 = [], []\n",
    "for i in range(len(gs)):\n",
    "    com_perccliq_4 = get_comms(gs[i], \"aperccliq4\")\n",
    "    print(\"Number of communities in %s graph: %s\" % (gnames[i], len(com_perccliq_4)))\n",
    "    print(\"Clique Percolation Communities (k=4):\")\n",
    "    print(sorted(com_kcliq_4))\n",
    "    r_A_perccliq_4 = seq_match(com_A[i], com_perccliq_4)\n",
    "    print(r_A_perccliq_4)\n",
    "    ratio_A_perccliq_4.append(r_A_perccliq_4)\n",
    "    plt.figure(figsize=(8,8))\n",
    "    plt.imshow(r_A_perccliq_4, cmap=plt.cm.Purples, interpolation='nearest')\n",
    "    plt.show()\n",
    "    a_A_perccliq_4 = nonzeroavg(r_A_perccliq_4)\n",
    "    print(\"Non-zero values average: %f\" % a_A_perccliq_4)\n",
    "    avg_A_perccliq_4.append(a_A_perccliq_4)\n",
    "    print(sprtr)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 54,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "graph: test75\n",
      "Sequental matching ratio: 0.750000\n",
      "Index: 10 - 3\n",
      "[35, 54, 55]\n",
      "[1, 21, 35, 54, 55]\n",
      "----------------------\n",
      "Sequental matching ratio: 0.534884\n",
      "Index: 1 - 1\n",
      "[1, 2, 4, 5, 7, 9, 10, 12, 14, 15, 16, 17, 18, 19, 20, 22, 23, 25, 26, 27, 28, 29, 30, 32, 33, 34, 36, 37, 38, 39, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 56, 57, 58, 59, 60, 61, 63, 64, 65, 66, 67, 68, 69, 70, 71, 73, 74, 75]\n",
      "[1, 10, 11, 15, 16, 19, 23, 37, 42, 43, 44, 45, 46, 47, 50, 52, 55, 56, 57, 59, 61, 66, 70, 71, 75]\n",
      "----------------------\n",
      "Sequental matching ratio: 0.511628\n",
      "Index: 2 - 1\n",
      "[1, 2, 4, 5, 7, 9, 10, 12, 14, 15, 16, 17, 18, 19, 20, 22, 23, 25, 26, 27, 28, 29, 30, 32, 33, 34, 36, 37, 38, 39, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 56, 57, 58, 59, 60, 61, 63, 64, 65, 66, 67, 68, 69, 70, 71, 73, 74, 75]\n",
      "[2, 7, 9, 14, 18, 21, 22, 24, 25, 28, 32, 33, 34, 38, 41, 51, 53, 54, 60, 63, 64, 65, 67, 68, 74]\n",
      "----------------------\n",
      "graph: test100\n",
      "Sequental matching ratio: 0.833333\n",
      "Index: 4 - 1\n",
      "[8, 19, 22, 34, 41, 88, 97]\n",
      "[8, 19, 22, 34, 41]\n",
      "----------------------\n",
      "Sequental matching ratio: 0.597015\n",
      "Index: 8 - 0\n",
      "[1, 2, 3, 4, 5, 6, 7, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 20, 21, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 35, 36, 37, 38, 39, 40, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 89, 90, 91, 92, 93, 94, 95, 96, 98, 99, 100]\n",
      "[3, 5, 7, 11, 12, 16, 20, 30, 31, 35, 37, 38, 42, 47, 48, 49, 55, 57, 58, 61, 62, 63, 64, 72, 74, 76, 77, 78, 80, 83, 84, 85, 86, 90, 91, 92, 93, 94, 97, 98, 100]\n",
      "----------------------\n",
      "Sequental matching ratio: 0.436975\n",
      "Index: 1 - 0\n",
      "[1, 2, 3, 4, 5, 6, 7, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 20, 21, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 35, 36, 37, 38, 39, 40, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 89, 90, 91, 92, 93, 94, 95, 96, 98, 99, 100]\n",
      "[1, 2, 6, 15, 17, 25, 27, 28, 39, 43, 44, 46, 50, 52, 54, 62, 63, 67, 72, 78, 80, 84, 86, 92, 99, 100]\n",
      "----------------------\n",
      "graph: test400\n",
      "Sequental matching ratio: 0.909091\n",
      "Index: 55 - 2\n",
      "[118, 135, 172, 285, 344]\n",
      "[118, 135, 145, 172, 285, 344]\n",
      "----------------------\n",
      "Sequental matching ratio: 0.600000\n",
      "Index: 37 - 1\n",
      "[34, 274, 342]\n",
      "[7, 34, 69, 124, 207, 274, 342]\n",
      "----------------------\n",
      "Sequental matching ratio: 0.428571\n",
      "Index: 30 - 3\n",
      "[167, 297, 301]\n",
      "[8, 25, 42, 60, 68, 167, 210, 248, 290, 297, 301]\n",
      "----------------------\n",
      "graph: test1000\n",
      "Sequental matching ratio: 0.926829\n",
      "Index: 22 - 79\n",
      "[50, 212, 283, 354, 419, 425, 426, 465, 561, 639, 737, 788, 789, 797, 810, 915, 936, 964, 965, 990]\n",
      "[50, 212, 283, 354, 419, 426, 465, 561, 585, 639, 737, 788, 789, 797, 810, 915, 928, 936, 964, 965, 990]\n",
      "----------------------\n",
      "Sequental matching ratio: 0.800000\n",
      "Index: 27 - 85\n",
      "[36, 104, 138, 146, 349, 483, 484, 534, 638, 676, 694, 719, 829, 831, 886, 901, 918, 993]\n",
      "[36, 42, 104, 138, 146, 160, 249, 323, 349, 405, 462, 483, 484, 508, 534, 597, 638, 676, 694, 719, 829, 831, 886, 901, 906, 918, 993]\n",
      "----------------------\n",
      "Sequental matching ratio: 0.700000\n",
      "Index: 13 - 37\n",
      "[181, 235, 374, 404, 422, 469, 507, 556, 592, 732, 824, 834, 850, 912, 974]\n",
      "[28, 107, 116, 181, 231, 235, 241, 374, 381, 404, 422, 469, 507, 556, 592, 732, 760, 814, 818, 834, 845, 850, 890, 912, 974]\n",
      "----------------------\n",
      "Sequental matching ratio: 0.666667\n",
      "Index: 2 - 25\n",
      "[79, 162, 227, 278, 532, 611, 698, 735, 751, 766, 941, 951]\n",
      "[79, 88, 156, 162, 201, 227, 234, 278, 479, 542, 611, 689, 698, 735, 751, 766, 803, 860, 923, 941, 951]\n",
      "----------------------\n",
      "Sequental matching ratio: 0.666667\n",
      "Index: 5 - 109\n",
      "[88, 183, 233, 280, 282, 455, 621, 733, 761, 764, 842, 865, 869, 902, 909, 968, 985]\n",
      "[1, 117, 151, 183, 217, 233, 280, 282, 308, 439, 455, 578, 621, 657, 699, 733, 756, 761, 764, 842, 865, 869, 896, 902, 909, 919, 968, 991]\n",
      "----------------------\n",
      "Sequental matching ratio: 0.666667\n",
      "Index: 6 - 89\n",
      "[58, 463, 489, 533, 581, 615, 665, 668, 748, 791, 945]\n",
      "[55, 58, 92, 210, 336, 342, 463, 489, 533, 536, 570, 581, 615, 665, 668, 724, 748, 791, 806, 848, 913, 945]\n",
      "----------------------\n",
      "Sequental matching ratio: 0.666667\n",
      "Index: 23 - 48\n",
      "[132, 215, 304, 327, 334, 435, 559, 569, 634, 663, 717, 741, 745, 921, 999]\n",
      "[73, 95, 99, 115, 132, 152, 204, 215, 304, 327, 334, 418, 435, 486, 559, 569, 634, 660, 662, 663, 717, 741, 745, 844, 875, 905, 921, 934, 980, 999]\n",
      "----------------------\n",
      "Sequental matching ratio: 0.648649\n",
      "Index: 25 - 4\n",
      "[19, 226, 266, 372, 397, 466, 473, 513, 763, 822, 910, 979]\n",
      "[7, 19, 180, 226, 266, 366, 372, 397, 398, 466, 473, 513, 524, 688, 691, 711, 738, 763, 809, 822, 861, 910, 939, 946, 979]\n",
      "----------------------\n",
      "Sequental matching ratio: 0.620690\n",
      "Index: 37 - 110\n",
      "[258, 509, 512, 610, 647, 650, 659, 819, 897]\n",
      "[33, 126, 163, 193, 220, 258, 275, 509, 512, 531, 610, 647, 650, 659, 700, 782, 801, 819, 897, 996]\n",
      "----------------------\n",
      "Sequental matching ratio: 0.594595\n",
      "Index: 29 - 20\n",
      "[311, 312, 410, 411, 476, 616, 669, 725, 752, 866, 891, 939]\n",
      "[41, 44, 182, 199, 311, 312, 410, 411, 425, 431, 453, 454, 464, 476, 616, 669, 725, 739, 752, 813, 866, 872, 891, 898, 903]\n",
      "----------------------\n",
      "Sequental matching ratio: 0.540541\n",
      "Index: 10 - 64\n",
      "[149, 155, 242, 243, 443, 565, 632, 646, 716, 823]\n",
      "[32, 72, 94, 100, 147, 149, 155, 157, 169, 177, 223, 225, 242, 243, 262, 264, 333, 443, 548, 565, 618, 632, 645, 646, 716, 823, 873]\n",
      "----------------------\n",
      "Sequental matching ratio: 0.533333\n",
      "Index: 1 - 47\n",
      "[63, 190, 307, 704, 706, 835, 900, 977]\n",
      "[11, 63, 123, 154, 190, 245, 260, 307, 353, 378, 396, 627, 633, 679, 704, 706, 825, 835, 900, 908, 944, 977]\n",
      "----------------------\n",
      "Sequental matching ratio: 0.529412\n",
      "Index: 36 - 84\n",
      "[84, 202, 474, 529, 568, 591, 656, 677, 917, 989]\n",
      "[17, 18, 40, 84, 202, 203, 299, 313, 331, 385, 442, 474, 529, 552, 568, 591, 606, 656, 670, 755, 917, 920, 973, 989]\n",
      "----------------------\n",
      "Sequental matching ratio: 0.526316\n",
      "Index: 20 - 30\n",
      "[310, 340, 399, 430, 543, 582, 635, 674, 705, 923, 987]\n",
      "[67, 85, 195, 206, 302, 310, 340, 346, 348, 399, 407, 430, 440, 494, 543, 582, 600, 630, 635, 674, 705, 721, 769, 911, 922, 948, 987]\n",
      "----------------------\n",
      "Sequental matching ratio: 0.518519\n",
      "Index: 26 - 53\n",
      "[186, 352, 458, 571, 607, 754, 942]\n",
      "[35, 121, 186, 251, 316, 325, 352, 403, 420, 458, 485, 503, 571, 577, 607, 643, 684, 754, 942, 981]\n",
      "----------------------\n",
      "Sequental matching ratio: 0.516129\n",
      "Index: 11 - 114\n",
      "[5, 319, 361, 380, 502, 779, 862, 969]\n",
      "[5, 27, 69, 93, 112, 133, 224, 270, 309, 319, 361, 373, 380, 467, 502, 648, 683, 779, 817, 862, 969, 976, 992]\n",
      "----------------------\n",
      "Sequental matching ratio: 0.478261\n",
      "Index: 12 - 6\n",
      "[47, 161, 247, 386, 401, 416, 433, 444, 471, 491, 517, 555, 560, 594, 712, 798, 914, 916, 925]\n",
      "[43, 47, 103, 129, 164, 189, 236, 247, 301, 315, 363, 386, 390, 413, 433, 471, 491, 517, 532, 555, 560, 566, 824, 916, 925, 932, 972]\n",
      "----------------------\n",
      "Sequental matching ratio: 0.473684\n",
      "Index: 3 - 146\n",
      "[81, 406, 501, 675, 747, 787, 836, 874, 882]\n",
      "[81, 158, 165, 166, 261, 277, 291, 326, 328, 343, 393, 406, 438, 459, 501, 535, 622, 655, 667, 675, 742, 747, 770, 787, 804, 836, 870, 874, 882]\n",
      "----------------------\n",
      "Sequental matching ratio: 0.461538\n",
      "Index: 38 - 177\n",
      "[255, 394, 554, 642, 749, 895]\n",
      "[48, 136, 140, 141, 216, 255, 369, 375, 394, 554, 598, 601, 629, 642, 697, 709, 715, 749, 885, 895]\n",
      "----------------------\n",
      "Sequental matching ratio: 0.444444\n",
      "Index: 30 - 8\n",
      "[324, 379, 522, 524, 527, 685, 852]\n",
      "[21, 29, 228, 253, 279, 287, 324, 379, 414, 421, 423, 472, 504, 522, 527, 652, 685, 686, 753, 852]\n",
      "----------------------\n",
      "Sequental matching ratio: 0.432432\n",
      "Index: 8 - 34\n",
      "[56, 77, 184, 267, 303, 681, 784, 957]\n",
      "[39, 56, 70, 77, 80, 150, 184, 248, 267, 303, 355, 362, 427, 452, 482, 525, 596, 666, 681, 690, 701, 784, 805, 863, 868, 930, 938, 947, 957]\n",
      "----------------------\n",
      "Sequental matching ratio: 0.428571\n",
      "Index: 9 - 100\n",
      "[20, 22, 60, 322, 347, 539, 1000]\n",
      "[22, 60, 118, 144, 159, 178, 240, 257, 305, 322, 347, 357, 498, 539, 612, 702, 841, 864, 952, 960, 1000]\n",
      "----------------------\n",
      "Sequental matching ratio: 0.424242\n",
      "Index: 28 - 80\n",
      "[8, 98, 290, 839, 927, 935, 967]\n",
      "[8, 12, 13, 89, 98, 175, 271, 284, 290, 350, 391, 449, 499, 500, 558, 637, 641, 743, 780, 839, 883, 927, 933, 935, 967, 984]\n",
      "----------------------\n",
      "Sequental matching ratio: 0.411765\n",
      "Index: 14 - 54\n",
      "[46, 402, 428, 626, 700, 843, 856, 937]\n",
      "[46, 52, 76, 83, 108, 171, 306, 321, 388, 400, 402, 428, 572, 603, 626, 710, 727, 799, 843, 856, 859, 931, 937, 940, 950, 978]\n",
      "----------------------\n",
      "Sequental matching ratio: 0.410256\n",
      "Index: 28 - 39\n",
      "[13, 350, 391, 500, 641, 818, 883, 984]\n",
      "[8, 12, 13, 89, 98, 175, 271, 284, 290, 350, 391, 449, 499, 500, 558, 637, 641, 743, 780, 839, 883, 927, 933, 935, 967, 984]\n",
      "----------------------\n"
     ]
    }
   ],
   "source": [
    "limiter = 0.4\n",
    "for i in range(len(gs)):\n",
    "    print(\"graph: %s\" % gnames[i])\n",
    "    getHighestRatios(ratio_A_perccliq_3[i], 25, com_A[i], get_comms(gs[i], \"aperccliq3\"), limiter)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 55,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Number of communities: 5\n",
      "Igraph Labelprop Communities:\n",
      "[[1, 6, 8, 15, 16, 17, 20, 21, 24, 28, 37, 43, 45, 46, 47, 50, 51, 52, 55, 57, 59, 60, 62, 63, 64, 70, 75], [2, 19, 39, 53, 56, 65, 66], [3, 4, 7, 11, 12, 13, 25, 31, 32, 33, 40, 44, 49, 71, 72], [5, 9, 10, 14, 23, 26, 27, 29, 30, 35, 36, 38, 48, 54, 58, 61, 69, 73, 74], [18, 22, 34, 41, 42, 67, 68]]\n",
      "Number of communities: 2\n",
      "Networkx Labelprop Communities:\n",
      "[[1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 12, 13, 14, 17, 18, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 38, 39, 40, 41, 43, 48, 49, 51, 53, 54, 55, 56, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 72, 73, 74], [11, 15, 16, 19, 20, 37, 42, 44, 45, 46, 47, 50, 52, 57, 70, 71, 75]]\n",
      "---------------------------------------\n",
      "Number of communities: 5\n",
      "Igraph Labelprop Communities:\n",
      "[[1, 12, 25, 27, 39, 42, 44, 46, 62, 63, 78, 80, 84, 86, 92, 99, 100], [2, 3, 4, 5, 7, 11, 14, 15, 16, 17, 18, 20, 21, 23, 28, 30, 31, 33, 35, 37, 38, 47, 48, 49, 50, 52, 54, 55, 57, 58, 59, 60, 61, 64, 65, 66, 67, 72, 73, 74, 75, 76, 77, 79, 81, 82, 83, 85, 87, 88, 89, 90, 91, 93, 94, 95, 96, 97, 98], [6, 8, 10, 13, 19, 22, 24, 34, 41, 45, 56, 70], [9, 26, 29, 40, 43], [32, 36, 51, 53, 68, 69, 71]]\n",
      "Number of communities: 1\n",
      "Networkx Labelprop Communities:\n",
      "[[1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 96, 97, 98, 99, 100]]\n",
      "---------------------------------------\n",
      "Number of communities: 14\n",
      "Igraph Labelprop Communities:\n",
      "[[1, 4, 6, 21, 22, 24, 28, 35, 38, 42, 43, 44, 68, 78, 88, 93, 94, 95, 105, 108, 113, 145], [2, 8, 32, 62, 92, 121, 122, 127, 139, 140, 152, 214, 216, 243, 245, 248, 261, 267, 281, 289, 290, 298, 300, 303, 308, 312, 327], [3, 49, 84, 106, 109, 168, 196, 205, 215, 241, 252, 255, 262, 263, 283, 311, 318, 320, 328, 329, 336, 338, 339, 340, 341, 353, 354, 366], [5, 9, 27, 30, 37, 45, 50, 54, 58, 65, 69, 74, 76, 77, 80, 81, 90, 97, 99, 103, 133, 162], [7, 12, 13, 29, 47, 48, 51, 52, 75, 100, 104, 107, 110, 111, 131, 132, 149, 160, 166, 173, 174, 180, 190, 201, 208, 209, 212, 217, 221, 222, 231, 236, 266, 271, 274, 275, 278, 293, 294, 295, 296, 297, 315, 317, 319, 324, 330, 331, 332, 334, 343, 356, 364], [10, 16, 19, 36, 41, 46, 55, 57, 63, 67, 70, 79, 101, 128, 130, 141, 142, 154, 156, 163, 165, 185, 195], [11, 33, 61, 72, 86, 87, 96, 102, 115, 118, 119, 136, 164, 167, 170, 171, 178, 181, 193, 194, 197, 198, 203, 220], [14, 26, 39, 40, 53, 66, 89, 125, 144, 148, 175, 184, 186, 189, 191, 192, 206, 207, 224, 226, 228, 247, 269, 270, 284, 309], [15, 18, 59, 71, 73, 91, 112, 126, 129, 138, 151, 153, 157, 161, 169, 172, 176, 177, 179, 183, 188, 211, 218, 219], [17, 60, 120, 147, 159, 213, 223, 229, 246, 253, 254, 257, 268, 276, 277, 282, 286, 305, 321, 322, 325, 337, 348, 350, 358, 359, 360, 370], [20, 56, 116, 124, 143, 146, 155, 158, 182, 204, 210, 227, 230, 235, 238, 239, 240, 259, 279, 280, 285, 287, 288, 291, 306, 314, 316], [23, 85, 123, 137, 150, 187, 199, 200, 237, 244, 250, 251, 260, 265, 301, 302, 307, 313, 323, 326, 333, 335, 342, 344, 345, 349, 367, 373], [25, 31, 34, 64, 82, 83, 98, 114, 117, 134, 135, 202, 225, 232, 233, 234, 242, 249, 256, 258, 264, 272, 273, 292, 299, 304, 310], [346, 347, 351, 352, 355, 357, 361, 362, 363, 365, 368, 369, 371, 372, 374, 375, 376, 377, 378, 379, 380, 381, 382, 383, 384, 385, 386, 387, 388, 389, 390, 391, 392, 393, 394, 395, 396, 397, 398, 399, 400]]\n",
      "Number of communities: 11\n",
      "Networkx Labelprop Communities:\n",
      "[[20, 56, 116, 124, 143, 146, 155, 158, 182, 204, 210, 227, 230, 235, 238, 239, 240, 259, 279, 280, 285, 287, 288, 291, 306, 314, 316], [10, 16, 19, 36, 41, 46, 55, 57, 63, 67, 70, 79, 101, 128, 130, 141, 142, 154, 156, 163, 165, 185, 195], [2, 8, 32, 62, 92, 121, 122, 127, 139, 140, 152, 214, 216, 243, 245, 248, 261, 267, 281, 289, 290, 298, 300, 303, 308, 312, 327], [51, 100, 131, 149, 209, 212, 221, 222, 236, 266, 274, 278, 293, 294, 295, 296, 297, 315, 317, 319, 324, 330, 331, 332, 334, 343, 356, 364], [3, 49, 84, 106, 109, 168, 196, 205, 215, 241, 252, 255, 262, 263, 283, 311, 318, 320, 328, 329, 336, 338, 339, 340, 341, 353, 354, 366], [11, 33, 61, 72, 86, 87, 96, 102, 115, 118, 119, 136, 164, 167, 170, 171, 178, 181, 193, 194, 197, 198, 203, 220], [1, 4, 6, 7, 12, 13, 14, 15, 18, 21, 22, 24, 26, 28, 29, 35, 38, 39, 40, 42, 43, 44, 47, 48, 52, 53, 59, 66, 68, 71, 73, 75, 78, 88, 89, 91, 93, 94, 95, 104, 105, 107, 108, 110, 111, 112, 113, 125, 126, 129, 132, 138, 144, 145, 148, 151, 153, 157, 160, 161, 166, 169, 172, 173, 174, 175, 176, 177, 179, 180, 183, 184, 186, 188, 189, 190, 191, 192, 201, 206, 207, 208, 211, 217, 218, 219, 224, 226, 228, 231, 247, 269, 270, 271, 275, 284, 309, 346, 347, 351, 352, 355, 357, 361, 362, 363, 365, 368, 369, 371, 372, 374, 375, 376, 377, 378, 379, 380, 381, 382, 383, 384, 385, 386, 387, 388, 389, 390, 391, 392, 393, 394, 395, 396, 397, 398, 399, 400], [25, 31, 34, 64, 82, 83, 98, 114, 117, 134, 135, 202, 225, 232, 233, 234, 242, 249, 256, 258, 264, 272, 273, 292, 299, 304, 310], [17, 60, 120, 147, 159, 213, 223, 229, 246, 253, 254, 257, 268, 276, 277, 282, 286, 305, 321, 322, 325, 337, 348, 350, 358, 359, 360, 370], [23, 85, 123, 137, 150, 187, 199, 200, 237, 244, 250, 251, 260, 265, 301, 302, 307, 313, 323, 326, 333, 335, 342, 344, 345, 349, 367, 373], [5, 9, 27, 30, 37, 45, 50, 54, 58, 65, 69, 74, 76, 77, 80, 81, 90, 97, 99, 103, 133, 162]]\n",
      "---------------------------------------\n",
      "Number of communities: 53\n",
      "Igraph Labelprop Communities:\n",
      "[[1, 117, 146, 151, 183, 217, 233, 280, 282, 308, 439, 455, 578, 621, 657, 699, 733, 756, 761, 764, 842, 865, 869, 896, 902, 909, 919, 968, 991], [2, 24, 26, 55, 58, 64, 79, 88, 92, 156, 162, 168, 201, 209, 210, 227, 234, 263, 278, 336, 342, 387, 395, 463, 479, 489, 523, 526, 533, 536, 542, 570, 581, 590, 611, 615, 665, 668, 689, 698, 724, 735, 748, 751, 757, 759, 766, 773, 777, 778, 791, 803, 806, 811, 848, 860, 871, 893, 913, 923, 941, 945, 951, 982], [3, 4, 14, 161, 174, 244, 250, 300, 338, 401, 416, 429, 444, 514, 594, 620, 654, 661, 712, 713, 746, 776, 785, 790, 798, 827, 904, 914, 954, 956], [5, 112, 319, 361, 373, 380, 502, 779, 817, 969, 976], [6, 376, 409, 553, 653, 682, 781, 792, 854], [7, 19, 180, 226, 266, 366, 372, 397, 398, 466, 473, 513, 524, 688, 691, 711, 738, 763, 809, 822, 861, 910, 939, 946, 979], [8, 12, 13, 16, 89, 98, 101, 137, 175, 185, 211, 222, 271, 272, 284, 290, 318, 350, 371, 391, 446, 449, 475, 490, 499, 500, 550, 558, 637, 641, 673, 722, 731, 743, 780, 837, 839, 883, 927, 933, 935, 943, 961, 967, 984], [9, 78, 102, 135, 170, 237, 239, 265, 274, 293, 298, 332, 432, 461, 470, 478, 488, 496, 563, 567, 609, 762, 821, 828, 846, 855, 867, 924, 994], [10, 33, 38, 59, 111, 126, 142, 163, 173, 193, 197, 207, 208, 219, 220, 238, 258, 275, 294, 329, 392, 415, 424, 509, 512, 531, 544, 546, 587, 610, 640, 647, 650, 659, 700, 772, 782, 801, 819, 849, 879, 889, 897, 929, 955, 983, 995, 996], [11, 190, 245, 370, 378, 396, 706, 900, 908, 944], [15, 31, 106, 167, 356, 448, 516, 540, 545, 892], [17, 18, 40, 84, 202, 203, 299, 313, 331, 385, 442, 474, 529, 552, 568, 591, 606, 656, 670, 755, 917, 920, 973, 989], [20, 35, 96, 121, 186, 205, 214, 246, 251, 325, 377, 420, 503, 519, 577, 583, 607, 614, 624, 684, 758, 851, 907, 981], [21, 324, 379, 527, 685, 852], [22, 60, 118, 144, 159, 178, 240, 257, 305, 322, 347, 357, 498, 539, 612, 702, 841, 864, 952, 960, 1000], [23, 45, 62, 110, 200, 254, 256, 276, 297, 330, 337, 351, 367, 417, 441, 447, 510, 520, 528, 574, 602, 678, 728, 729, 736, 796, 876, 884, 953, 986], [25, 30, 50, 53, 74, 128, 148, 176, 191, 212, 273, 283, 285, 292, 335, 354, 383, 412, 419, 426, 434, 445, 465, 549, 551, 561, 585, 613, 628, 639, 693, 737, 775, 788, 789, 794, 797, 810, 816, 840, 915, 928, 936, 964, 965, 966, 990], [27, 69, 93, 133, 224, 270, 309, 467, 648, 683, 862, 992], [28, 107, 181, 231, 235, 422, 469, 556, 592, 732, 845, 890, 912, 974], [29, 228, 253, 279, 287, 414, 421, 423, 472, 504, 522, 652, 686, 753], [32, 72, 94, 100, 147, 149, 155, 157, 169, 177, 223, 225, 242, 243, 262, 264, 333, 341, 443, 548, 565, 618, 632, 645, 646, 716, 823, 873], [34, 75, 530, 644, 649, 853], [36, 42, 104, 138, 160, 323, 508, 534, 901, 906, 918], [37, 49, 57, 105, 120, 198, 281, 468, 497, 538, 541, 586, 617, 671, 730, 744, 774, 998], [39, 56, 70, 77, 80, 150, 184, 248, 267, 303, 355, 358, 362, 427, 452, 482, 525, 596, 666, 681, 690, 701, 784, 805, 863, 868, 930, 938, 947, 957], [41, 44, 182, 311, 312, 410, 411, 425, 454, 464, 476, 616, 669, 725, 739, 752, 813, 866, 872, 891, 898, 903], [43, 47, 103, 129, 164, 189, 236, 247, 301, 315, 363, 386, 390, 413, 433, 471, 487, 491, 517, 532, 555, 560, 566, 800, 824, 916, 925, 932, 972], [46, 52, 76, 83, 108, 171, 306, 321, 388, 400, 402, 428, 572, 603, 626, 710, 727, 799, 843, 856, 859, 931, 937, 940, 950, 978], [48, 136, 140, 141, 216, 255, 369, 375, 394, 554, 598, 601, 629, 642, 697, 709, 715, 749, 885, 895], [51, 65, 114, 153, 187, 196, 213, 269, 339, 365, 505, 537, 575, 576, 599, 658, 695, 720, 726, 740, 771, 877, 899, 970, 971], [54, 194, 289, 480, 604, 651, 997], [61, 71, 91, 97, 119, 122, 125, 143, 229, 320, 359, 384, 477, 506, 625, 631, 680, 692, 703, 808, 812, 826, 847, 894, 958, 985], [63, 123, 154, 307, 627, 633, 704, 825, 977], [66, 127, 131, 230, 252, 268, 314, 345, 389, 436, 460, 495, 515, 564, 580, 623, 664, 734, 765, 768, 786, 793, 815, 832, 838, 857, 887, 949, 963], [67, 68, 85, 195, 206, 302, 310, 340, 346, 348, 399, 407, 430, 440, 494, 543, 582, 600, 630, 635, 674, 705, 721, 769, 911, 922, 948, 987], [73, 95, 99, 115, 132, 152, 204, 215, 304, 327, 334, 418, 435, 486, 559, 569, 634, 660, 662, 663, 717, 741, 745, 844, 875, 905, 921, 934, 980, 999], [81, 124, 130, 158, 165, 166, 172, 261, 277, 288, 291, 326, 328, 343, 344, 382, 393, 406, 438, 456, 459, 501, 518, 535, 622, 655, 667, 675, 677, 742, 747, 770, 787, 795, 804, 830, 836, 870, 874, 882], [82, 109, 145, 232, 295, 408, 457, 718, 880], [86, 608, 707, 807], [87, 113, 714, 988], [90, 218, 579, 723, 750, 881], [116, 241, 374, 381, 404, 507, 619, 636, 760, 814, 818, 834, 850], [134, 437, 450, 451, 511, 767, 926], [139, 259, 360, 493, 687, 878, 888], [179, 492, 593, 595, 672, 802, 820], [188, 192, 221, 286, 296, 562, 588, 589, 696, 708, 959, 962], [199, 431, 453], [249, 405, 462, 483, 484, 597, 638, 719, 886, 993], [260, 353, 679, 835], [316, 352, 403, 458, 485, 571, 643, 754, 942], [317, 521, 547, 557, 584, 605, 975], [349, 676, 694, 829, 831], [364, 368, 481, 573, 783, 833, 858]]\n",
      "Number of communities: 9\n",
      "Networkx Labelprop Communities:\n",
      "[[6, 10, 33, 38, 54, 59, 111, 126, 134, 142, 163, 173, 193, 194, 197, 207, 208, 219, 220, 238, 258, 275, 289, 294, 329, 358, 370, 376, 392, 409, 415, 424, 437, 450, 451, 480, 509, 511, 512, 531, 544, 546, 553, 587, 604, 610, 640, 647, 650, 651, 653, 659, 682, 700, 767, 772, 781, 782, 792, 801, 819, 849, 854, 879, 889, 897, 926, 929, 955, 983, 995, 996, 997], [68, 73, 81, 95, 99, 115, 132, 139, 152, 158, 165, 166, 179, 204, 215, 218, 259, 261, 272, 277, 291, 304, 320, 326, 327, 328, 334, 343, 360, 393, 406, 418, 435, 438, 459, 486, 487, 492, 493, 501, 505, 535, 559, 569, 579, 593, 595, 619, 622, 634, 636, 655, 660, 662, 663, 667, 672, 675, 687, 717, 723, 741, 742, 745, 747, 750, 770, 787, 800, 802, 804, 820, 836, 844, 870, 874, 875, 878, 881, 882, 888, 905, 921, 934, 980, 999], [28, 107, 116, 181, 231, 235, 241, 374, 381, 404, 422, 469, 507, 556, 592, 732, 760, 814, 818, 834, 845, 850, 890, 912, 974], [61, 71, 91, 97, 119, 122, 125, 143, 229, 359, 384, 477, 506, 625, 631, 680, 692, 703, 808, 812, 826, 847, 894, 958, 985], [67, 85, 195, 206, 302, 310, 340, 346, 348, 399, 407, 430, 440, 494, 543, 582, 600, 630, 635, 674, 705, 721, 769, 911, 922, 948, 987], [17, 18, 40, 84, 202, 203, 299, 313, 331, 385, 442, 474, 529, 552, 568, 591, 606, 656, 670, 755, 917, 920, 973, 989], [50, 212, 283, 354, 419, 426, 465, 561, 585, 639, 737, 788, 789, 797, 810, 915, 928, 936, 964, 965, 990], [1, 2, 3, 4, 5, 7, 8, 9, 11, 12, 13, 14, 15, 16, 19, 20, 21, 23, 24, 25, 26, 27, 29, 30, 31, 32, 34, 35, 36, 37, 39, 41, 42, 43, 44, 45, 46, 47, 48, 49, 51, 52, 53, 55, 56, 57, 58, 62, 63, 64, 65, 66, 69, 70, 72, 74, 75, 76, 77, 78, 79, 80, 82, 83, 86, 87, 88, 89, 90, 92, 93, 94, 96, 98, 100, 101, 102, 103, 104, 105, 106, 108, 109, 110, 112, 113, 114, 117, 120, 121, 123, 124, 127, 128, 129, 130, 131, 133, 135, 136, 137, 138, 140, 141, 145, 146, 147, 148, 149, 150, 151, 153, 154, 155, 156, 157, 160, 161, 162, 164, 167, 168, 169, 170, 171, 172, 174, 175, 176, 177, 180, 182, 183, 184, 185, 186, 187, 188, 189, 190, 191, 192, 196, 198, 199, 200, 201, 205, 209, 210, 211, 213, 214, 216, 217, 221, 222, 223, 224, 225, 226, 227, 228, 230, 232, 233, 234, 236, 237, 239, 242, 243, 244, 245, 246, 247, 248, 249, 250, 251, 252, 253, 254, 255, 256, 260, 262, 263, 264, 265, 266, 267, 268, 269, 270, 271, 273, 274, 276, 278, 279, 280, 281, 282, 284, 285, 286, 287, 288, 290, 292, 293, 295, 296, 297, 298, 300, 301, 303, 306, 307, 308, 309, 311, 312, 314, 315, 316, 317, 318, 319, 321, 323, 324, 325, 330, 332, 333, 335, 336, 337, 338, 339, 341, 342, 344, 345, 349, 350, 351, 352, 353, 355, 356, 361, 362, 363, 364, 365, 366, 367, 368, 369, 371, 372, 373, 375, 377, 378, 379, 380, 382, 383, 386, 387, 388, 389, 390, 391, 394, 395, 396, 397, 398, 400, 401, 402, 403, 405, 408, 410, 411, 412, 413, 414, 416, 417, 420, 421, 423, 425, 427, 428, 429, 431, 432, 433, 434, 436, 439, 441, 443, 444, 445, 446, 447, 448, 449, 452, 453, 454, 455, 456, 457, 458, 460, 461, 462, 463, 464, 466, 467, 468, 470, 471, 472, 473, 475, 476, 478, 479, 481, 482, 483, 484, 485, 488, 489, 490, 491, 495, 496, 497, 499, 500, 502, 503, 504, 508, 510, 513, 514, 515, 516, 517, 518, 519, 520, 521, 522, 523, 524, 525, 526, 527, 528, 530, 532, 533, 534, 536, 537, 538, 540, 541, 542, 545, 547, 548, 549, 550, 551, 554, 555, 557, 558, 560, 562, 563, 564, 565, 566, 567, 570, 571, 572, 573, 574, 575, 576, 577, 578, 580, 581, 583, 584, 586, 588, 589, 590, 594, 596, 597, 598, 599, 601, 602, 603, 605, 607, 608, 609, 611, 613, 614, 615, 616, 617, 618, 620, 621, 623, 624, 626, 627, 628, 629, 632, 633, 637, 638, 641, 642, 643, 644, 645, 646, 648, 649, 652, 654, 657, 658, 661, 664, 665, 666, 668, 669, 671, 673, 676, 677, 678, 679, 681, 683, 684, 685, 686, 688, 689, 690, 691, 693, 694, 695, 696, 697, 698, 699, 701, 704, 706, 707, 708, 709, 710, 711, 712, 713, 714, 715, 716, 718, 719, 720, 722, 724, 725, 726, 727, 728, 729, 730, 731, 733, 734, 735, 736, 738, 739, 740, 743, 744, 746, 748, 749, 751, 752, 753, 754, 756, 757, 758, 759, 761, 762, 763, 764, 765, 766, 768, 771, 773, 774, 775, 776, 777, 778, 779, 780, 783, 784, 785, 786, 790, 791, 793, 794, 795, 796, 798, 799, 803, 805, 806, 807, 809, 811, 813, 815, 816, 817, 821, 822, 823, 824, 825, 827, 828, 829, 830, 831, 832, 833, 835, 837, 838, 839, 840, 842, 843, 846, 848, 851, 852, 853, 855, 856, 857, 858, 859, 860, 861, 862, 863, 865, 866, 867, 868, 869, 871, 872, 873, 876, 877, 880, 883, 884, 885, 886, 887, 891, 892, 893, 895, 896, 898, 899, 900, 901, 902, 903, 904, 906, 907, 908, 909, 910, 913, 914, 916, 918, 919, 923, 924, 925, 927, 930, 931, 932, 933, 935, 937, 938, 939, 940, 941, 942, 943, 944, 945, 946, 947, 949, 950, 951, 953, 954, 956, 957, 959, 961, 962, 963, 966, 967, 968, 969, 970, 971, 972, 975, 976, 977, 978, 979, 981, 982, 984, 986, 988, 991, 992, 993, 994, 998], [22, 60, 118, 144, 159, 178, 240, 257, 305, 322, 347, 357, 498, 539, 612, 702, 841, 864, 952, 960, 1000]]\n",
      "---------------------------------------\n"
     ]
    }
   ],
   "source": [
    "for i in range(len(gs)):\n",
    "    ##Comparison of Labelprop for igraph and networkx\n",
    "    com_labelprop = get_comms(gs[i], \"comm_labelprop\")\n",
    "    print(\"Number of communities: %s\" % len(com_labelprop))\n",
    "    print(\"Igraph Labelprop Communities:\")\n",
    "    print(com_labelprop)\n",
    "    com_n_labelprop = get_comms(gs[i], \"nlabelprop\")\n",
    "    print(\"Number of communities: %s\" % len(com_n_labelprop))\n",
    "    print(\"Networkx Labelprop Communities:\")\n",
    "    print(com_n_labelprop)\n",
    "    print(sprtr)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 56,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[[0.35294117647058826, 0.5454545454545454], [0.18461538461538463, 0.08333333333333333], [0.3287671232876712, 0.1875], [0.4935064935064935, 0.0], [0.18461538461538463, 0.08333333333333333]]\n"
     ]
    },
    {
     "data": {
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      "text/plain": [
       "<Figure size 576x576 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Non-zero values average: 0.348317\n",
      "[[0.2905982905982906], [0.7421383647798742], [0.21428571428571427], [0.09523809523809523], [0.1308411214953271]]\n"
     ]
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 576x576 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Non-zero values average: 0.294620\n",
      "[[0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.275, 0.0, 0.0, 0.0, 0.0], [0.0, 0.0, 1.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], [0.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 1.0], [0.0, 0.0, 0.0, 0.691358024691358, 0.0, 0.0, 0.2617801047120419, 0.0, 0.0, 0.0, 0.0], [0.0, 1.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], [0.0, 0.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, 0.0, 0.0], [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.3170731707317073, 0.0, 0.0, 0.0, 0.0], [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.2962962962962963, 0.0, 0.0, 0.0, 0.0], [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0], [1.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 1.0, 0.0], [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0], [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.4581005586592179, 0.0, 0.0, 0.0, 0.0]]\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 576x576 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Non-zero values average: 0.788416\n",
      "[[0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.07977991746905089, 0.0], [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.1679790026246719, 0.0], [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.08241758241758242, 0.0], [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.031029619181946404, 0.0], [0.21951219512195122, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.06915629322268327, 0.0], [0.0, 0.015267175572519083, 0.0, 0.0, 0.0, 0.0, 0.0, 0.11843876177658143, 0.0], [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.07977991746905089, 0.0], [0.7933884297520661, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], [0.024096385542168676, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.025423728813559324, 0.0], [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.02824858757062147, 0.0], [0.0, 0.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0], [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0664819944598338, 0.0], [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.017045454545454544, 0.0], [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 1.0], [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.08241758241758242, 0.0], [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.6176470588235294, 0.0697986577181208, 0.0], [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.03380281690140845, 0.0], [0.0, 0.0, 0.717948717948718, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.03932584269662921, 0.0], [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.07713498622589532, 0.0], [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.017045454545454544, 0.0], [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.031029619181946404, 0.0], [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.05027932960893855, 0.0], [0.019417475728155338, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.07967032967032966, 0.0], [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.06111111111111111, 0.0], [0.0, 0.034782608695652174, 0.0, 0.0, 0.0, 0.0, 0.0, 0.07427785419532325, 0.0], [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0718232044198895, 0.0], [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.055710306406685235, 0.0], [0.0, 0.018018018018018018, 0.0, 0.0, 0.0, 0.0, 0.0, 0.06639004149377593, 0.0], [0.175, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], [0.0, 0.017857142857142856, 0.0, 0.9803921568627451, 0.0, 0.0, 0.0, 0.0, 0.0], [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.02545968882602546, 0.0], [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.07977991746905089, 0.0], [0.0, 0.017543859649122806, 0.0, 0.0, 0.9818181818181818, 0.0, 0.0, 0.0, 0.0], [0.0, 0.5172413793103449, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], [0.0, 0.4603174603174603, 0.0, 0.0, 0.0, 0.0, 0.0, 0.02981029810298103, 0.0], [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.02545968882602546, 0.0], [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.011396011396011397, 0.0], [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.011396011396011397, 0.0], [0.0, 0.10869565217391304, 0.0, 0.0, 0.0, 0.0, 0.0, 0.002840909090909091, 0.0], [0.0, 0.04040404040404041, 0.5789473684210527, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], [0.175, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], [0.0, 0.15053763440860216, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], [0.0, 0.15053763440860216, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.03380281690140845, 0.0], [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.008559201141226819, 0.0], [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.02824858757062147, 0.0], [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.011396011396011397, 0.0], [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.02545968882602546, 0.0], [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.019858156028368795, 0.0], [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.01422475106685633, 0.0], [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.019858156028368795, 0.0]]\n"
     ]
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 576x576 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Non-zero values average: 0.174345\n"
     ]
    }
   ],
   "source": [
    "ratio_labelprops = []\n",
    "for i in range(len(gs)):\n",
    "    r = seq_match(get_comms(gs[i], \"comm_labelprop\"), get_comms(gs[i], \"nlabelprop\"))\n",
    "    print(r)\n",
    "    plt.figure(figsize=(8,8))\n",
    "    plt.imshow(r, cmap=plt.cm.Purples, interpolation='nearest')\n",
    "    plt.show()\n",
    "    avg_labelprops = nonzeroavg(r)\n",
    "    print(\"Non-zero values average: %f\" % avg_labelprops)\n",
    "    ratio_labelprops.append(r)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 57,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "graph: test75\n",
      "Sequental matching ratio: 0.545455\n",
      "Index: 0 - 1\n",
      "[11, 15, 16, 19, 20, 37, 42, 44, 45, 46, 47, 50, 52, 57, 70, 71, 75]\n",
      "[1, 6, 8, 15, 16, 17, 20, 21, 24, 28, 37, 43, 45, 46, 47, 50, 51, 52, 55, 57, 59, 60, 62, 63, 64, 70, 75]\n",
      "----------------------\n",
      "Sequental matching ratio: 0.493506\n",
      "Index: 3 - 0\n",
      "[1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 12, 13, 14, 17, 18, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 38, 39, 40, 41, 43, 48, 49, 51, 53, 54, 55, 56, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 72, 73, 74]\n",
      "[5, 9, 10, 14, 23, 26, 27, 29, 30, 35, 36, 38, 48, 54, 58, 61, 69, 73, 74]\n",
      "----------------------\n",
      "graph: test100\n",
      "Sequental matching ratio: 0.742138\n",
      "Index: 1 - 0\n",
      "[1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 96, 97, 98, 99, 100]\n",
      "[2, 3, 4, 5, 7, 11, 14, 15, 16, 17, 18, 20, 21, 23, 28, 30, 31, 33, 35, 37, 38, 47, 48, 49, 50, 52, 54, 55, 57, 58, 59, 60, 61, 64, 65, 66, 67, 72, 73, 74, 75, 76, 77, 79, 81, 82, 83, 85, 87, 88, 89, 90, 91, 93, 94, 95, 96, 97, 98]\n",
      "----------------------\n",
      "graph: test400\n",
      "Sequental matching ratio: 1.000000\n",
      "Index: 1 - 2\n",
      "[2, 8, 32, 62, 92, 121, 122, 127, 139, 140, 152, 214, 216, 243, 245, 248, 261, 267, 281, 289, 290, 298, 300, 303, 308, 312, 327]\n",
      "[2, 8, 32, 62, 92, 121, 122, 127, 139, 140, 152, 214, 216, 243, 245, 248, 261, 267, 281, 289, 290, 298, 300, 303, 308, 312, 327]\n",
      "----------------------\n",
      "Sequental matching ratio: 1.000000\n",
      "Index: 2 - 4\n",
      "[3, 49, 84, 106, 109, 168, 196, 205, 215, 241, 252, 255, 262, 263, 283, 311, 318, 320, 328, 329, 336, 338, 339, 340, 341, 353, 354, 366]\n",
      "[3, 49, 84, 106, 109, 168, 196, 205, 215, 241, 252, 255, 262, 263, 283, 311, 318, 320, 328, 329, 336, 338, 339, 340, 341, 353, 354, 366]\n",
      "----------------------\n",
      "Sequental matching ratio: 1.000000\n",
      "Index: 3 - 10\n",
      "[5, 9, 27, 30, 37, 45, 50, 54, 58, 65, 69, 74, 76, 77, 80, 81, 90, 97, 99, 103, 133, 162]\n",
      "[5, 9, 27, 30, 37, 45, 50, 54, 58, 65, 69, 74, 76, 77, 80, 81, 90, 97, 99, 103, 133, 162]\n",
      "----------------------\n",
      "Sequental matching ratio: 1.000000\n",
      "Index: 5 - 1\n",
      "[10, 16, 19, 36, 41, 46, 55, 57, 63, 67, 70, 79, 101, 128, 130, 141, 142, 154, 156, 163, 165, 185, 195]\n",
      "[10, 16, 19, 36, 41, 46, 55, 57, 63, 67, 70, 79, 101, 128, 130, 141, 142, 154, 156, 163, 165, 185, 195]\n",
      "----------------------\n",
      "Sequental matching ratio: 1.000000\n",
      "Index: 6 - 5\n",
      "[11, 33, 61, 72, 86, 87, 96, 102, 115, 118, 119, 136, 164, 167, 170, 171, 178, 181, 193, 194, 197, 198, 203, 220]\n",
      "[11, 33, 61, 72, 86, 87, 96, 102, 115, 118, 119, 136, 164, 167, 170, 171, 178, 181, 193, 194, 197, 198, 203, 220]\n",
      "----------------------\n",
      "Sequental matching ratio: 1.000000\n",
      "Index: 9 - 8\n",
      "[17, 60, 120, 147, 159, 213, 223, 229, 246, 253, 254, 257, 268, 276, 277, 282, 286, 305, 321, 322, 325, 337, 348, 350, 358, 359, 360, 370]\n",
      "[17, 60, 120, 147, 159, 213, 223, 229, 246, 253, 254, 257, 268, 276, 277, 282, 286, 305, 321, 322, 325, 337, 348, 350, 358, 359, 360, 370]\n",
      "----------------------\n",
      "Sequental matching ratio: 1.000000\n",
      "Index: 10 - 0\n",
      "[20, 56, 116, 124, 143, 146, 155, 158, 182, 204, 210, 227, 230, 235, 238, 239, 240, 259, 279, 280, 285, 287, 288, 291, 306, 314, 316]\n",
      "[20, 56, 116, 124, 143, 146, 155, 158, 182, 204, 210, 227, 230, 235, 238, 239, 240, 259, 279, 280, 285, 287, 288, 291, 306, 314, 316]\n",
      "----------------------\n",
      "Sequental matching ratio: 1.000000\n",
      "Index: 11 - 9\n",
      "[23, 85, 123, 137, 150, 187, 199, 200, 237, 244, 250, 251, 260, 265, 301, 302, 307, 313, 323, 326, 333, 335, 342, 344, 345, 349, 367, 373]\n",
      "[23, 85, 123, 137, 150, 187, 199, 200, 237, 244, 250, 251, 260, 265, 301, 302, 307, 313, 323, 326, 333, 335, 342, 344, 345, 349, 367, 373]\n",
      "----------------------\n",
      "Sequental matching ratio: 0.458101\n",
      "Index: 12 - 7\n",
      "[25, 31, 34, 64, 82, 83, 98, 114, 117, 134, 135, 202, 225, 232, 233, 234, 242, 249, 256, 258, 264, 272, 273, 292, 299, 304, 310]\n",
      "[25, 31, 34, 64, 82, 83, 98, 114, 117, 134, 135, 202, 225, 232, 233, 234, 242, 249, 256, 258, 264, 272, 273, 292, 299, 304, 310]\n",
      "----------------------\n",
      "graph: test1000\n",
      "Sequental matching ratio: 1.000000\n",
      "Index: 11 - 5\n",
      "[17, 18, 40, 84, 202, 203, 299, 313, 331, 385, 442, 474, 529, 552, 568, 591, 606, 656, 670, 755, 917, 920, 973, 989]\n",
      "[17, 18, 40, 84, 202, 203, 299, 313, 331, 385, 442, 474, 529, 552, 568, 591, 606, 656, 670, 755, 917, 920, 973, 989]\n",
      "----------------------\n",
      "Sequental matching ratio: 1.000000\n",
      "Index: 14 - 8\n",
      "[22, 60, 118, 144, 159, 178, 240, 257, 305, 322, 347, 357, 498, 539, 612, 702, 841, 864, 952, 960, 1000]\n",
      "[22, 60, 118, 144, 159, 178, 240, 257, 305, 322, 347, 357, 498, 539, 612, 702, 841, 864, 952, 960, 1000]\n",
      "----------------------\n",
      "Sequental matching ratio: 0.981818\n",
      "Index: 34 - 4\n",
      "[67, 85, 195, 206, 302, 310, 340, 346, 348, 399, 407, 430, 440, 494, 543, 582, 600, 630, 635, 674, 705, 721, 769, 911, 922, 948, 987]\n",
      "[67, 68, 85, 195, 206, 302, 310, 340, 346, 348, 399, 407, 430, 440, 494, 543, 582, 600, 630, 635, 674, 705, 721, 769, 911, 922, 948, 987]\n",
      "----------------------\n",
      "Sequental matching ratio: 0.980392\n",
      "Index: 31 - 3\n",
      "[61, 71, 91, 97, 119, 122, 125, 143, 229, 359, 384, 477, 506, 625, 631, 680, 692, 703, 808, 812, 826, 847, 894, 958, 985]\n",
      "[61, 71, 91, 97, 119, 122, 125, 143, 229, 320, 359, 384, 477, 506, 625, 631, 680, 692, 703, 808, 812, 826, 847, 894, 958, 985]\n",
      "----------------------\n",
      "Sequental matching ratio: 0.793388\n",
      "Index: 8 - 0\n",
      "[6, 10, 33, 38, 54, 59, 111, 126, 134, 142, 163, 173, 193, 194, 197, 207, 208, 219, 220, 238, 258, 275, 289, 294, 329, 358, 370, 376, 392, 409, 415, 424, 437, 450, 451, 480, 509, 511, 512, 531, 544, 546, 553, 587, 604, 610, 640, 647, 650, 651, 653, 659, 682, 700, 767, 772, 781, 782, 792, 801, 819, 849, 854, 879, 889, 897, 926, 929, 955, 983, 995, 996, 997]\n",
      "[10, 33, 38, 59, 111, 126, 142, 163, 173, 193, 197, 207, 208, 219, 220, 238, 258, 275, 294, 329, 392, 415, 424, 509, 512, 531, 544, 546, 587, 610, 640, 647, 650, 659, 700, 772, 782, 801, 819, 849, 879, 889, 897, 929, 955, 983, 995, 996]\n",
      "----------------------\n",
      "Sequental matching ratio: 0.717949\n",
      "Index: 18 - 2\n",
      "[28, 107, 116, 181, 231, 235, 241, 374, 381, 404, 422, 469, 507, 556, 592, 732, 760, 814, 818, 834, 845, 850, 890, 912, 974]\n",
      "[28, 107, 181, 231, 235, 422, 469, 556, 592, 732, 845, 890, 912, 974]\n",
      "----------------------\n",
      "Sequental matching ratio: 0.617647\n",
      "Index: 16 - 6\n",
      "[50, 212, 283, 354, 419, 426, 465, 561, 585, 639, 737, 788, 789, 797, 810, 915, 928, 936, 964, 965, 990]\n",
      "[25, 30, 50, 53, 74, 128, 148, 176, 191, 212, 273, 283, 285, 292, 335, 354, 383, 412, 419, 426, 434, 445, 465, 549, 551, 561, 585, 613, 628, 639, 693, 737, 775, 788, 789, 794, 797, 810, 816, 840, 915, 928, 936, 964, 965, 966, 990]\n",
      "----------------------\n",
      "Sequental matching ratio: 0.578947\n",
      "Index: 41 - 2\n",
      "[28, 107, 116, 181, 231, 235, 241, 374, 381, 404, 422, 469, 507, 556, 592, 732, 760, 814, 818, 834, 845, 850, 890, 912, 974]\n",
      "[116, 241, 374, 381, 404, 507, 619, 636, 760, 814, 818, 834, 850]\n",
      "----------------------\n",
      "Sequental matching ratio: 0.517241\n",
      "Index: 35 - 1\n",
      "[68, 73, 81, 95, 99, 115, 132, 139, 152, 158, 165, 166, 179, 204, 215, 218, 259, 261, 272, 277, 291, 304, 320, 326, 327, 328, 334, 343, 360, 393, 406, 418, 435, 438, 459, 486, 487, 492, 493, 501, 505, 535, 559, 569, 579, 593, 595, 619, 622, 634, 636, 655, 660, 662, 663, 667, 672, 675, 687, 717, 723, 741, 742, 745, 747, 750, 770, 787, 800, 802, 804, 820, 836, 844, 870, 874, 875, 878, 881, 882, 888, 905, 921, 934, 980, 999]\n",
      "[73, 95, 99, 115, 132, 152, 204, 215, 304, 327, 334, 418, 435, 486, 559, 569, 634, 660, 662, 663, 717, 741, 745, 844, 875, 905, 921, 934, 980, 999]\n",
      "----------------------\n",
      "Sequental matching ratio: 0.460317\n",
      "Index: 36 - 1\n",
      "[68, 73, 81, 95, 99, 115, 132, 139, 152, 158, 165, 166, 179, 204, 215, 218, 259, 261, 272, 277, 291, 304, 320, 326, 327, 328, 334, 343, 360, 393, 406, 418, 435, 438, 459, 486, 487, 492, 493, 501, 505, 535, 559, 569, 579, 593, 595, 619, 622, 634, 636, 655, 660, 662, 663, 667, 672, 675, 687, 717, 723, 741, 742, 745, 747, 750, 770, 787, 800, 802, 804, 820, 836, 844, 870, 874, 875, 878, 881, 882, 888, 905, 921, 934, 980, 999]\n",
      "[81, 124, 130, 158, 165, 166, 172, 261, 277, 288, 291, 326, 328, 343, 344, 382, 393, 406, 438, 456, 459, 501, 518, 535, 622, 655, 667, 675, 677, 742, 747, 770, 787, 795, 804, 830, 836, 870, 874, 882]\n",
      "----------------------\n"
     ]
    }
   ],
   "source": [
    "limiter = 0.4\n",
    "for i in range(len(gs)):\n",
    "    print(\"graph: %s\" % gnames[i])\n",
    "    getHighestRatios(ratio_labelprops[i], 25, get_comms(gs[i], \"comm_labelprop\"), get_comms(gs[i], \"nlabelprop\"), limiter)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 58,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "igraph.Vertex(<igraph.Graph object at 0x7fdb3a9255e8>, 8, {'name': '9', 'Cluster_ID_A': 32.0, 'Cluster_ID_B': 1.0, 'comm_greedy': 5.0, 'comm_infomap': 11.0, 'comm_labelprop': 8.0, 'comm_louvain': 24.0, 'comm_spinglass': 23.0, 'comm_walktrap': 7.0, 'id': 'n8', 'nkcliq3': nan, 'nkcliq4': nan, 'nfastgreedy': 1, 'nlabelprop': 8, 'nasynfluida': 15, 'nasynfluidb': 3, 'nasynfluidab': 6, 'aperccliq3': nan, 'aperccliq4': nan})\n"
     ]
    }
   ],
   "source": [
    "print(gs[3].vs[8])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 59,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "comm_greedy communities:\n",
      "---------------------------------------\n",
      "comm_infomap communities:\n",
      "---------------------------------------\n",
      "comm_greedy communities:\n",
      "---------------------------------------\n",
      "comm_infomap communities:\n",
      "---------------------------------------\n",
      "comm_greedy communities:\n",
      "---------------------------------------\n",
      "comm_infomap communities:\n",
      "---------------------------------------\n",
      "comm_greedy communities:\n",
      "---------------------------------------\n",
      "comm_infomap communities:\n",
      "---------------------------------------\n"
     ]
    }
   ],
   "source": [
    "attrs = [\"comm_greedy\", \"comm_infomap\"]\n",
    "for i in range(len(gs)):\n",
    "    labels = list(f.index for f in gs[i].vs)\n",
    "    for j in range(len(attrs)):\n",
    "        print(\"%s communities:\" % attrs[j])\n",
    "        n = ig.VertexClustering.FromAttribute(graph=gs[i],attribute=attrs[j])\n",
    "        ig.plot(n, mark_groups=True, bbox=(1200,1200), vertex_label=labels)\n",
    "        print(sprtr)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 168,
   "metadata": {},
   "outputs": [],
   "source": [
    "fs = [\"t75_l.txt\", \"t100_l.txt\", \"t400_l.txt\", \"t1000_l.txt\"]\n",
    "comms = []\n",
    "for i in range(len(gs)):\n",
    "    lines = [line.rstrip('\\n') for line in open(fs[i])]\n",
    "    ll, l_ = [], []\n",
    "    for l in lines:\n",
    "        l = str(l[:-1])\n",
    "        l = str(l[1:])\n",
    "        l_ = str.split(l)\n",
    "        for j in l_:\n",
    "            j = int(j)\n",
    "        ll.append(l_)\n",
    "    comms.append(ll)\n",
    "a = []\n",
    "for i in range(len(comms)):\n",
    "    b = []\n",
    "    for j in range(len(comms[i])):\n",
    "        c = []\n",
    "        for z in range(len(comms[i][j])):\n",
    "            c.append(int(comms[i][j][z]))\n",
    "        b.append(c)\n",
    "        c = []\n",
    "    a.append(b)\n",
    "    b = []\n",
    "    \n",
    "comms = a\n",
    "#comms = convertStringList(comms)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 169,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[3, 31, 40]\n"
     ]
    }
   ],
   "source": [
    "print(comms[0][0])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 175,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Number of communities in test75 graph: 45\n",
      "Link Communities:\n",
      "[[1, 43, 55, 59], [2, 39, 41, 53, 65, 66], [2, 60, 64, 65, 67], [3, 31, 40], [4, 29, 36, 40, 49, 69], [4, 40, 49, 72], [7, 13, 20, 22, 25, 32, 33, 50, 71, 72], [7, 22, 32, 33, 71], [8, 15, 62, 64], [9, 14, 29, 73, 74], [9, 38, 53, 63, 64, 65], [10, 35, 54, 55], [15, 47, 57, 60], [16, 52, 71, 75], [18, 34, 68], [20, 50, 70, 75], [22, 33, 67, 68], [23, 53, 56, 61], [24, 45, 49], [25, 26, 30, 32, 48, 58, 74], [26, 30, 48, 58, 69, 73, 74], [26, 58, 69, 72, 74], [27, 39, 62, 73], [28, 31, 36, 40], [28, 41, 60], [30, 48, 58, 69], [34, 51, 53, 54, 64, 65, 67, 74], [34, 64, 67, 68], [37, 44, 46], [37, 46, 50, 56, 61, 66, 71], [37, 46, 75, 70], [38, 69, 73, 74], [39, 53, 65], [42, 44, 71], [42, 59, 67, 68], [42, 60, 67, 75], [43, 64, 70, 75], [45, 47, 57, 75], [45, 50, 56, 57, 70, 71, 75], [45, 57, 70, 75], [47, 51, 52, 64, 65, 75], [52, 57, 62, 70, 75], [58, 61, 69, 73, 74], [62, 63, 70, 75], [64, 65, 70, 75]]\n",
      "[[0.21, 0.14, 0.2, 0.07, 0.0, 0.27, 0.0, 0.0, 0.28, 0.0, 0.07, 0.0, 0.0, 0.0, 0.0, 0.07, 0.28, 0.07, 0.0, 0.25, 0.07, 0.0, 0.38, 0.0, 0.0, 0.14, 0.0, 0.0, 0.39, 0.0, 0.0, 0.0, 0.06, 0.0, 0.0, 0.0, 0.0, 0.07, 0.0, 0.0, 0.0, 0.28, 0.17, 0.13, 0.21], [0.0, 0.0, 0.07, 0.0, 0.21, 0.0, 0.0, 0.21, 0.0, 0.0, 0.07, 0.07, 0.21, 0.21, 0.28, 0.27, 0.0, 0.14, 0.14, 0.0, 0.14, 0.0, 0.0, 0.0, 0.14, 0.07, 0.28, 0.21, 0.0, 0.28, 0.14, 0.0, 0.06, 0.19, 0.21, 0.28, 0.44, 0.21, 0.0, 0.44, 0.0, 0.0, 0.11, 0.0, 0.0], [0.0, 0.14, 0.07, 0.14, 0.0, 0.07, 0.21, 0.07, 0.0, 0.21, 0.07, 0.27, 0.0, 0.07, 0.0, 0.0, 0.0, 0.07, 0.14, 0.19, 0.07, 0.28, 0.06, 0.28, 0.14, 0.07, 0.0, 0.07, 0.0, 0.0, 0.14, 0.39, 0.26, 0.19, 0.0, 0.0, 0.0, 0.0, 0.48, 0.0, 0.33, 0.0, 0.29, 0.2, 0.07], [0.0, 0.44, 0.53, 0.0, 0.0, 0.42, 0.0, 0.0, 0.44, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.48, 0.11, 0.0, 0.67, 0.0, 0.0, 0.0, 0.0, 0.22, 0.2, 0.0, 0.0, 0.2, 0.0, 0.0, 0.0, 0.0, 0.1, 0.0, 0.09, 0.0, 0.0, 0.11, 0.0, 0.53, 0.0], [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.18, 0.0, 0.0, 0.55, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.33, 0.0, 0.0, 0.5, 0.0, 0.33, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.67, 0.0, 0.14, 0.0, 0.18, 0.17, 0.0, 0.0, 0.25, 0.0, 0.15, 0.0, 0.0, 0.0, 0.0], [0.0, 0.0, 0.0, 0.55, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.17, 0.0, 0.0, 0.33, 0.0, 0.0, 0.0, 0.29, 0.71, 0.14, 0.0, 0.0, 0.27, 0.0, 0.25, 0.13, 0.31, 0.17, 0.0, 0.0, 0.0], [0.0, 0.0, 0.0, 0.0, 0.75, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.44, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.25, 0.0, 0.33, 0.0, 0.0, 0.0, 0.0, 0.22, 0.0, 0.0, 0.0], [0.4, 0.0, 0.0, 0.0, 0.0, 0.0, 0.2, 0.0, 0.0, 0.0, 0.6, 0.0, 0.0, 0.0, 0.18, 0.0, 0.36, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.18, 0.0, 0.46, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.14, 0.0, 0.0, 0.0, 0.0, 0.73], [0.1, 0.0, 0.0, 0.0, 0.0, 0.0, 0.1, 0.36, 0.0, 0.0, 0.0, 0.0, 0.09, 0.36, 0.27, 0.43, 0.0, 0.36, 0.18, 0.0, 0.0, 0.09, 0.0, 0.0, 0.27, 0.36, 0.27, 0.0, 0.0, 0.27, 0.0, 0.17, 0.0, 0.42, 0.0, 0.09, 0.0, 0.27, 0.15, 0.24, 0.17, 0.09, 0.14, 0.0, 0.0], [0.0, 0.0, 0.0, 0.0, 0.0, 0.13, 0.0, 0.0, 0.0, 0.0, 0.0, 0.67, 0.0, 0.0, 0.0, 0.0, 0.29, 0.0, 0.0, 0.24, 0.0, 0.0, 0.0, 0.29, 0.0, 0.0, 0.0, 0.0, 0.12, 0.14, 0.0, 0.0, 0.0, 0.0, 0.15, 0.0, 0.24, 0.14, 0.0, 0.24, 0.0, 0.0, 0.8, 0.0, 0.0], [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.67, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.44, 0.0, 0.0, 0.15, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0]]\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1296x1296 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Non-zero values average: 0.418824\n",
      "---------------------------------------\n",
      "Number of communities in test100 graph: 52\n",
      "Link Communities:\n",
      "[[1, 2, 15, 17, 25, 27, 28, 44, 46, 50, 52, 54, 59, 62, 63, 66, 67, 72, 73, 78, 79, 80, 82, 84, 86, 87, 88, 89, 92, 95, 96, 99, 100], [1, 2, 15, 25, 27, 28, 39, 44, 46, 50, 52, 54, 57, 61, 62, 63, 67, 72, 74, 76, 78, 80, 83, 84, 85, 86, 90, 91, 92, 97, 99, 100], [1, 25, 27, 39, 44], [2, 14, 21, 28, 37, 50, 52, 57, 59, 60, 66, 75, 81], [2, 21, 28, 50, 52, 60, 75], [3, 4, 8, 12, 13, 24, 29, 32, 34, 38, 41, 48, 49, 70, 72, 73, 75, 76, 77, 78, 80, 83, 84, 87, 89, 90, 91, 92, 93, 97], [3, 20, 22, 31, 37, 51, 53, 55, 64, 69, 71, 74, 76, 83, 84, 85, 92, 98, 96], [3, 31, 86, 61, 78], [3, 47, 49, 62, 76], [3, 76, 83, 84, 86, 91, 93], [4, 17, 46, 54, 59, 65, 66, 73, 79, 87, 88, 89, 96, 95], [4, 24, 73, 75], [4, 59, 66, 73], [5, 18, 89, 54, 76, 83], [5, 72, 86, 91], [6, 10, 13, 24, 45, 56, 70], [7, 11, 14, 16, 58, 61, 64, 74, 81, 85, 86, 90, 93], [7, 16, 57, 58], [8, 19, 22, 34, 41], [9, 26, 29, 40, 43], [9, 40, 95, 98], [10, 23, 33, 65, 66, 79, 83, 87, 88, 82, 89], [10, 33, 13, 70, 76], [11, 16, 23, 42, 47, 55, 58, 59, 62, 63, 65, 66, 72, 79, 86, 92, 93], [11, 20, 36, 37, 38, 57, 69, 71, 77, 83, 84, 86, 93, 94, 85], [13, 29, 32, 76, 87], [15, 46, 67, 79, 82, 89], [16, 37, 48, 57, 63, 76, 77], [19, 42, 45, 55, 58, 61, 68, 74, 79, 91], [20, 64, 74, 76], [21, 28, 46, 50, 52, 60], [21, 60, 96, 98, 95], [30, 66, 77, 80, 84, 85], [32, 36, 51, 53, 68, 69, 71], [33, 59, 65, 67, 88], [35, 47, 55, 72, 83], [35, 47, 94, 98, 96], [36, 51, 53, 69, 71, 96, 95], [38, 48, 70, 75, 89, 88], [39, 44, 46, 54, 72, 78, 80, 84, 86, 91, 92], [45, 58, 59, 68], [46, 52, 57, 67, 78], [48, 76, 78, 80, 90], [49, 95, 96, 98], [54, 65, 66, 73, 79, 82, 87, 89], [55, 64, 74, 82, 85, 94, 95, 96, 98], [56, 94, 96, 98], [58, 74, 83, 77], [61, 63, 80, 72, 84, 92], [62, 78, 80, 84, 85], [64, 84, 85, 78, 92], [77, 90, 91, 93]]\n",
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9/3vaspIk3XlNOrcbSe82cmHh6basPY8905aVJFe9ekdb1kMPPdWW9eS+Q21ZSe/97PTR3/w/rXlv+4Fvas3r0nkslCT3/slCW9all/TN9d/8jT9uy0qSv/edr2jLOnLkub6sxb6sJLng/L798eaz+n5febBxm5Yk936x73n7+m+5rC3rgQd77+ezTx9uyfnLnrPOOAAAAAAmKQ4AAACASYoDAAAAYJLiAAAAAJi0rOKgqn6squ6uqruq6kNVtalrYAAAAMDqO+nioKp2JvkXSebHGFclWZfkrV0DAwAAAFbfcl+qsD7J5qpan+SsJA8vf0gAAADArDjp4mCM8VCSf5/k/iSPJHlqjPH7XQMDAAAAVt9yXqpwfpK3JLksyYVJzq6qHzzB7W6sqt1VtfvxJxZOfqQAAADAilvOSxW+PcmfjTEWxhiLST6W5G+/8EZjjJvHGPNjjPntF8wtY3UAAADASltOcXB/km+uqrOqqpJcn+SenmEBAAAAs2A573GwK8lHk9yR5PNLWTc3jQsAAACYAeuX85/HGD+V5KeaxgIAAADMmOV+HCMAAABwGlMcAAAAAJMUBwAAAMAkxQEAAAAwSXEAAAAATKoxxoqtbP7q+bFr120rtr7VsmfPgbasHTu2tGXBSllYeLo1b27unNa8WbV377NtWdu2ndWW1emWD/TuA97+zmvasg7sP9SWteXcTW1ZQHL9hpvasj7y6L9uy0qSo0ePtWV1Hvd1Ho8mjkmZ9vSBvv3nOVvsP1fT6153TXbfvrtOdJ0zDgAAAIBJigMAAABgkuIAAAAAmKQ4AAAAACYpDgAAAIBJigMAAABgkuIAAAAAmKQ4AAAAACYpDgAAAIBJigMAAABgkuIAAAAAmKQ4AAAAACYpDgAAAIBJigMAAABgkuIAAAAAmKQ4AAAAACYpDgAAAIBJigMAAABg0vrVHsDJ+oev/MXWvI/c86NtWTt2bGnLmmV33b2nLeuqV+9oy1pL/u2PfbIt672/8Oa2rLm5c9qy1pL162q1h3DKvf2d16z2ECZtOXfTag8BmHDr4k1tWYtHjrZlJcmBp4+05nWZ5ePRd7z+5ras9374rW1ZSXLhhee25nV59NH9rXkvfnHf/Txny+zuP/fsOdCWtXFj36/OW7dubstaKc44AAAAACYpDgAAAIBJigMAAABgkuIAAAAAmKQ4AAAAACZ9zeKgqj5QVY9V1V3PW7atqj5VVV9a+nr+qR0mAAAAsBq+njMOfi3Jm16w7N1Jbh1jXJnk1qXLAAAAwGnmaxYHY4w/SLL3BYvfkuSWpe9vSXJD87gAAACAGXCy73GwY4zxSJIsfX1R35AAAACAWXHK3xyxqm6sqt1VtXvh8YVTvToAAACg0ckWB3uq6iVJsvT1sakbjjFuHmPMjzHm57bPneTqAAAAgNVwssXBJ5K8fen7tyf5nZ7hAAAAALPk6/k4xg8l+d9JXl5VD1bVDyX5mSRvrKovJXnj0mUAAADgNLP+a91gjPG2iauubx4LAAAAMGNO+ZsjAgAAAH99KQ4AAACASYoDAAAAYJLiAAAAAJikOAAAAAAm1RhjxVY2f/X82LXrthVbH2vXxz9+V1vWDTdc1Za1Vjz88P7WvAsvPLc1D9ay6zfc1JZ162JfFqyUw4ePtuZt3Pg1P6QM4K+F173umuy+fXed6DpnHAAAAACTFAcAAADAJMUBAAAAMElxAAAAAExSHAAAAACTFAcAAADAJMUBAAAAMElxAAAAAExSHAAAAACTFAcAAADAJMUBAAAAMElxAAAAAExSHAAAAACTFAcAAADAJMUBAAAAMElxAAAAAExSHAAAAACTFAcAAADApBpjrNzKqhaS/PnXuNn2JI+vwHBglpkHrHXmAGudOcBaZw6w1q3GHHjpGGPuRFesaHHw9aiq3WOM+dUeB6wm84C1zhxgrTMHWOvMAda6WZsDXqoAAAAATFIcAAAAAJNmsTi4ebUHADPAPGCtMwdY68wB1jpzgLVupubAzL3HAQAAADA7ZvGMAwAAAGBGzFRxUFVvqqp7q+q+qnr3ao8HTrWq+kBVPVZVdz1v2baq+lRVfWnp6/mrOUY4larq4qr6TFXdU1V3V9W7lpabB6wJVbWpqm6rqj9emgM/vbT8sqratTQHfqOqzlztscKpVFXrqurOqvrk0mVzgDWlqr5SVZ+vqs9V1e6lZTNzPDQzxUFVrUvyK0m+I8mrkrytql61uqOCU+7XkrzpBcveneTWMcaVSW5dugynq6NJfnyM8cok35zkny9t+80D1orDSa4bY3xjktckeVNVfXOSn03yC0tz4MkkP7SKY4SV8K4k9zzvsjnAWvRtY4zXPO9jGGfmeGhmioMk1yS5b4zx5THGkSQfTvKWVR4TnFJjjD9IsvcFi9+S5Jal729JcsOKDgpW0BjjkTHGHUvfH8jxg8adMQ9YI8ZxTy9d3LD0byS5LslHl5abA5zWquqiJN+V5P1LlyvmACQzdDw0S8XBziQPPO/yg0vLYK3ZMcZ4JDn+S1WSF63yeGBFVNWlSV6bZFfMA9aQpVO0P5fksSSfSvKnSfaNMY4u3cQxEae7X0zyE0mOLV2+IOYAa89I8vtVdXtV3bi0bGaOh9av1opPoE6wzEc+AKwBVXVOkt9K8qNjjP3H/9gEa8MY47kkr6mqrUl+O8krT3SzlR0VrIyqenOSx8YYt1fVG766+AQ3NQc43V07xni4ql6U5FNV9cXVHtDzzdIZBw8mufh5ly9K8vAqjQVW056qekmSLH19bJXHA6dUVW3I8dLgg2OMjy0tNg9Yc8YY+5J8Nsff72NrVX31DzyOiTidXZvku6vqKzn+UuXrcvwMBHOANWWM8fDS18dyvES+JjN0PDRLxcEfJbly6R1Uz0zy1iSfWOUxwWr4RJK3L33/9iS/s4pjgVNq6XWsv5rknjHGzz/vKvOANaGq5pbONEhVbU7y7Tn+Xh+fSfK9SzczBzhtjTF+coxx0Rjj0hw//v/0GOMHYg6whlTV2VW15avfJ/m7Se7KDB0P1Rizc9ZPVX1njjeM65J8YIzx3lUeEpxSVfWhJG9Isj3JniQ/leTjST6S5JIk9yf5vjHGC99AEU4LVfV3kvyPJJ/P/3tt67/J8fc5MA847VXV38zxN7xal+N/0PnIGOM9VXV5jv/1dVuSO5P84Bjj8OqNFE69pZcq/KsxxpvNAdaSpef7by9dXJ/kP48x3ltVF2RGjodmqjgAAAAAZsssvVQBAAAAmDGKAwAAAGCS4gAAAACYpDgAAAAAJikOAAAAgEmKAwAAAGCS4gAAAACYpDgAAAAAJv1fy3c8ZK1cSHsAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<Figure size 1296x1296 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Non-zero values average: 0.463784\n",
      "---------------------------------------\n",
      "Number of communities in test400 graph: 154\n",
      "Link Communities:\n",
      "[[1, 4, 6, 21, 22, 24, 28, 35, 38, 42, 43, 44, 68, 78, 88, 93, 94, 95, 105, 108, 113, 145], [1, 6, 300, 363, 379, 227], [2, 5, 170, 188, 283], [2, 8, 32, 62, 92, 121, 122, 127, 139, 140, 152, 214, 216, 243, 245, 248, 261, 267, 281, 289, 290, 298, 300, 303, 308, 312, 327], [2, 64, 191, 199, 241, 243, 245, 283, 310, 298], [3, 49, 84, 106, 109, 168, 196, 205, 215, 241, 252, 255, 262, 263, 283, 311, 318, 320, 328, 329, 336, 338, 339, 340, 341, 353, 354, 366], [4, 15, 105, 164, 215, 261, 284, 311, 352, 340, 359, 396, 120, 337], [5, 9, 27, 30, 37, 45, 50, 54, 58, 65, 69, 74, 76, 77, 80, 81, 90, 97, 99, 103, 133, 162], [5, 79, 165, 256, 298], [6, 27, 44, 201, 237, 265, 296, 341, 346, 349, 279, 332, 379, 311, 364], [7, 12, 13, 29, 47, 48, 52, 75, 104, 107, 110, 111, 132, 160, 166, 173, 174, 180, 190, 201, 208, 217, 231, 271, 275], [7, 43, 124, 244, 342], [8, 25, 157, 301, 308, 364, 397], [8, 51, 60, 248, 253, 321, 290], [9, 124, 368, 392], [10, 16, 19, 36, 41, 46, 55, 57, 63, 67, 70, 79, 101, 128, 130, 141, 142, 154, 156, 163, 165, 185, 195], [10, 39, 303, 393], [11, 33, 61, 72, 86, 87, 96, 102, 115, 118, 119, 136, 164, 167, 170, 171, 178, 181, 193, 194, 197, 198, 203, 220], [12, 99, 114, 150, 193, 269, 331, 186, 367, 295, 373], [13, 220, 231, 203, 369, 358, 385], [13, 293, 313, 321, 318, 335], [14, 26, 39, 40, 53, 66, 89, 125, 144, 148, 175, 184, 186, 189, 191, 192, 206, 207, 224, 226, 228, 247, 269, 270, 284, 309], [14, 53, 154, 174, 291, 305, 332, 380, 330, 357, 362], [15, 18, 59, 71, 73, 91, 112, 126, 129, 138, 151, 153, 157, 161, 169, 172, 176, 177, 179, 183, 188, 211, 218, 219], [15, 76, 233, 346, 379], [16, 44, 93, 101, 33, 330, 357], [17, 30, 32, 45, 56, 92, 246, 347, 131, 356, 332], [17, 55, 148, 276], [17, 60, 120, 147, 159, 213, 223, 229, 246, 253, 254, 257, 268, 276, 277, 282, 286, 305, 321, 322, 325, 337, 348, 350, 358, 359, 360, 370], [17, 196, 208, 229, 244, 277, 329, 354, 371, 370], [18, 140, 212, 381], [19, 55, 126, 183, 355, 383], [20, 56, 116, 124, 143, 146, 155, 158, 182, 204, 210, 227, 230, 235, 238, 239, 240, 259, 279, 280, 285, 287, 288, 291, 306, 314, 316], [20, 109, 112, 123, 137, 146, 165, 199, 200, 219, 336, 395, 400, 352, 392, 344], [21, 30, 37, 61, 269], [22, 150, 194, 260, 302, 338], [22, 231, 77, 260], [23, 85, 123, 137, 150, 187, 199, 200, 237, 244, 250, 251, 260, 265, 301, 302, 307, 313, 323, 326, 333, 335, 342, 344, 345, 349, 367, 373], [23, 119, 177, 294], [24, 78, 366, 328], [24, 119, 288, 383], [25, 31, 34, 64, 82, 83, 98, 114, 117, 134, 135, 202, 225, 232, 233, 234, 242, 249, 256, 258, 264, 272, 273, 292, 299, 304, 310], [26, 40, 170, 223, 247, 334, 363, 364, 383, 355], [27, 50, 64, 164, 170, 309, 228], [28, 101, 368, 392], [29, 47, 90, 213, 273], [31, 138, 222, 278, 292], [32, 73, 246, 245], [33, 78, 156, 278, 297, 337, 381, 390, 301, 362, 372], [34, 68, 124, 152, 208, 215, 274, 342, 335, 345], [34, 135, 232, 390, 382, 389], [35, 211, 305, 332], [36, 187, 195, 370, 378, 391], [37, 205, 219, 241, 394, 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\n",
      "text/plain": [
       "<Figure size 1296x1296 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Non-zero values average: 0.362183\n",
      "---------------------------------------\n",
      "Number of communities in test1000 graph: 637\n",
      "Link Communities:\n",
      "[[1, 7, 56, 126, 184, 232, 303, 427, 435, 454, 482, 525, 689, 701, 930], [1, 34, 61, 146, 151, 235, 282, 421, 738, 754, 756, 842, 865, 902, 909], [1, 117, 130, 151, 491, 496, 621, 657, 699], [1, 126, 146, 151, 280, 282, 536, 604, 733, 761, 763, 782, 849, 865, 919], [2, 19, 78, 217, 263, 523, 590, 696, 757], [2, 24, 263, 757], [2, 34, 97, 132, 215, 435, 486, 503, 745], [2, 78, 209, 436, 523, 526, 590, 777, 864, 893], [2, 124, 167, 446], [2, 131, 352, 448, 607, 643], [2, 251, 266, 387, 401, 526, 590, 594, 676, 757, 759, 811], [3, 14, 244, 377, 455, 535, 654, 679, 712, 713, 746, 785], [3, 34, 594, 595, 620, 643, 735, 746, 776], [3, 87, 90, 113, 190, 357, 573, 682, 714, 718, 795, 830, 856, 894, 947, 954, 988], [3, 112, 152, 222, 300, 338, 530, 624, 661, 713, 790, 827], [3, 179, 224, 272, 607, 662, 723, 727, 800, 802], [3, 338, 661, 790], [4, 7, 13, 49], [4, 14, 429, 713], [4, 19, 45, 200, 297, 351, 359, 447, 465, 520, 640, 731, 796, 804, 826, 986], [4, 52, 244, 250, 257, 427, 429, 790], [5, 36, 599, 695], [5, 56, 189, 319, 361, 373, 411, 467, 502, 550, 659, 714, 779, 783, 956, 969, 976], [5, 217, 224, 346, 361, 373, 471, 665, 779], [5, 319, 380, 502], [6, 134, 148, 376, 480, 682, 698, 781], [6, 260, 370, 374, 435, 597, 651, 653, 678, 682, 767, 771, 776, 781, 854], [6, 310, 623, 668, 684, 750, 923, 955, 987], [6, 376, 653, 767], [6, 379, 423, 674], [7, 145, 159, 226, 366, 688], [7, 157, 271, 587], [7, 184, 359, 372], [8, 13, 98, 350, 500], [8, 98, 199, 227, 271, 290, 334, 386, 499, 500, 715, 829, 909, 933, 961, 967], [8, 183, 290, 314, 477, 499, 622, 641, 692, 777, 805, 839, 927, 933, 967], [8, 215, 484, 610], [9, 11, 239, 332, 347, 432], [9, 61, 71, 125, 211, 217, 384, 477, 644, 703], [9, 124, 132, 316, 459, 501, 535, 538, 742], [9, 239, 284, 293, 442, 452, 461, 478, 496, 499, 672, 716, 762, 796, 855], [9, 470, 489, 828], [10, 19, 397, 711], [10, 111, 208, 249, 363], [10, 121, 214, 420, 485], [10, 219, 238, 381, 393, 482, 544, 661, 832, 833, 879, 889, 929, 948, 955, 983], [10, 544, 879, 889, 929, 995], [11, 70, 92, 221, 255, 256, 260, 307, 353, 378, 455, 679, 835], [11, 153, 266, 307, 627], [11, 190, 229, 245, 270, 370, 378, 506, 679, 704, 706, 813, 844, 883, 908], [12, 13, 141, 160, 175, 290, 305, 350, 391, 499, 500, 570, 637, 869, 883, 970, 984], [12, 40, 71, 98, 195, 449, 453, 558, 716, 780, 839, 900, 927], [12, 272, 446, 449, 450, 499, 520, 558, 678, 780], [12, 288, 569, 571], [12, 558, 641, 743, 780, 839, 883], [13, 169, 177, 271, 290, 391, 393, 491, 526, 558, 780, 828, 883, 884, 886, 933, 935], [13, 175, 391, 499], [13, 289, 376, 579, 604], [14, 161, 218, 219, 429, 444, 472, 654, 797, 827, 840, 872, 904, 914, 954], [14, 439, 455, 756, 869], [15, 20, 31, 91, 167, 540], [15, 90, 171, 203, 422, 547, 649], [16, 37, 281, 453, 463, 472, 538, 547, 617, 730], [16, 71, 91, 291, 506, 631, 645, 733, 761, 808, 847, 894, 947, 981, 985], [16, 96, 101, 137, 302, 318, 470, 475, 495, 520, 602, 722, 731, 837, 901, 961], [16, 96, 101, 318], [16, 140, 197, 400, 430, 598, 663, 717], [16, 188, 255, 286, 436, 562, 588, 589, 610, 692, 708, 731, 782, 785, 880, 888, 962], [16, 188, 490, 673, 731], [17, 40, 45, 203, 313, 442, 568], [17, 84, 277, 315, 316, 328, 385, 474, 536, 568, 591, 888, 904, 973], [17, 95, 168, 209, 387], [17, 203, 568, 606], [17, 277, 299, 313, 385, 409, 474, 552, 606, 647, 668, 670, 679, 763, 785, 787, 920], [18, 68, 144, 196, 285, 487, 505, 723, 800], [18, 202, 474, 552, 670], [19, 36, 104, 138, 160, 217, 236, 508, 534, 694, 735, 831, 895, 901], [19, 84, 161, 185, 366, 397, 405, 507, 513, 697, 711, 773, 809, 822, 939, 979], [19, 180, 262, 565], [19, 180, 295, 366, 397, 398], [19, 372, 394, 406, 473, 738, 752, 763, 822, 839, 898, 903, 939], [20, 22, 57, 60, 178, 347, 365, 539, 553, 556, 631, 655, 799, 841, 864, 952, 960, 1000], [20, 31, 118, 205, 214, 238, 407, 511, 611, 614, 624, 851], [20, 96, 135, 205, 356, 499, 540, 583, 624, 681, 700, 719, 831, 851, 876, 907], [20, 198, 285, 414, 423, 472, 504, 652], [20, 205, 519, 614, 851], [21, 68, 259, 369, 505, 531, 593, 658, 800], [21, 72, 615], [21, 151, 206, 265], [21, 262, 269, 287, 379, 522, 527, 651, 685, 686, 749, 852], [21, 324, 379, 527, 685], [22, 35, 60, 72, 159, 347, 498, 564, 702, 726, 773, 857, 899, 960], [22, 53, 113, 122, 549], [22, 60, 257, 322, 407, 539, 584, 709, 722, 864], [22, 171, 342, 629, 737], [22, 389, 454, 534, 547, 725], [23, 80, 248, 254, 256, 276, 288, 441, 520, 884, 736], [23, 86, 202, 359, 477, 676, 703, 876, 894], [23, 271, 276, 510, 518, 664, 679, 736], [23, 373, 479, 680, 836, 850], [24, 26, 209, 213, 244, 395, 429, 596, 602, 773, 778], [24, 110, 153, 239, 408, 418, 669], [24, 156, 246, 479, 542], [24, 181, 290, 291, 498, 772], [25, 49, 97, 125, 229, 232, 524, 806, 808, 812], [25, 55, 105, 204, 281, 435, 462, 497, 538, 541, 579, 586, 608, 684, 742, 744, 998], [25, 58, 128, 170, 412, 445, 549, 551, 600, 794, 811, 840], [25, 74, 83, 180, 367, 374, 383, 434, 628, 693, 775, 816], [26, 29, 119, 380, 558, 617, 693, 737, 817], [26, 150, 152, 666, 701], [26, 174, 182, 245, 518, 759, 773, 777, 778, 811, 871], [27, 42, 214, 258, 466, 509, 647, 650, 682, 801, 819, 876, 897, 996], [27, 69, 102, 133, 172, 224, 270, 287, 467, 536, 612, 683, 739, 862, 944, 963, 992], [27, 93, 209, 366, 385, 455, 467, 502, 587, 670, 684, 779, 817, 862, 932, 969, 976], [27, 93, 270, 467], [27, 109, 164, 364, 382, 425, 573], [27, 206, 290, 294, 350, 352, 528, 922, 953], [28, 74, 188, 235, 404, 469, 507, 592, 601, 699, 701, 820, 845], [28, 206, 399, 543, 580, 688, 705, 721], [28, 241, 381, 404, 469], [28, 281, 317, 451], [29, 66, 552, 815, 832], [29, 75, 287, 414, 421, 432, 458, 467, 522, 661, 753], [29, 253, 414, 522], [29, 287, 414, 423, 504], [30, 47, 53, 134, 148, 253, 434, 445, 693, 751, 794], [30, 53, 112, 148, 176, 473, 628], [30, 53, 120, 141, 489, 512, 570, 581, 668, 724, 748, 806], [30, 191, 335, 383, 628, 434], [30, 252, 470, 567], [31, 55, 58, 59, 342, 404, 436, 533, 605, 615, 668, 674, 777, 806, 848, 945], [31, 167, 233, 274, 276, 516], [31, 279, 579, 616, 623, 644, 650], [31, 364, 638, 644], [32, 45, 147, 151, 169, 173, 177, 262, 278, 292, 333, 337, 357, 645, 873], [32, 47, 155, 212, 306, 354, 440, 452, 561, 639, 788, 865, 965], [32, 62, 256, 493, 510, 528, 598, 729, 736, 876, 986], [32, 94, 100, 155], [32, 94, 262, 645], [32, 138, 203, 273, 313, 419, 529], [32, 157, 223, 225, 264], [33, 76, 79, 109, 233, 466, 747, 865], [33, 121, 193, 258, 401, 633, 647, 659, 759, 801, 819], [33, 163, 659, 700, 782], [34, 213, 575, 662, 740], [34, 585, 644, 853], [35, 41, 48, 219, 259, 354, 476, 669, 733, 767, 866], [35, 110, 337, 441, 447, 574, 627, 796, 528], [35, 280, 352, 397, 456, 458, 485, 571, 643, 754, 780, 871, 892, 933, 942], [35, 420, 577, 684, 857], [36, 86, 114, 153, 206, 269, 339, 575, 599, 633, 767, 793, 897, 899, 970], [36, 104, 405, 694], [36, 138, 349, 463, 484, 694, 772, 829, 831], [37, 94, 99, 262, 318, 617, 638, 671, 744], [37, 132, 152, 196, 215, 435, 496, 559, 569, 571, 745, 890, 921], [37, 135, 345, 461, 470, 563], [37, 246, 317, 497, 547, 557, 580, 584, 654, 671, 697, 707, 734, 807, 975], [37, 345, 439, 444, 455, 505, 621, 671, 702, 798, 869, 896, 902], [38, 59, 147, 207, 294, 329, 392, 470, 489, 497, 509, 756, 772, 942, 955], [38, 59, 173, 238, 365, 384, 567, 632, 640, 652, 693, 725, 921, 929], [38, 173, 197, 208, 392, 415, 501, 546, 554, 717, 772, 829, 870, 995], [38, 460, 547, 843], [39, 62, 67, 457, 464, 578, 657], [39, 70, 122, 143, 229, 359, 456, 506, 533, 631, 680, 686, 692, 746, 807, 951, 958], [39, 249, 326, 508], [39, 332, 427, 509, 544, 596, 656, 690, 701, 709, 805, 863, 868], [40, 48, 572, 931], [40, 149, 266, 290, 333, 507, 517, 559, 646], [40, 164, 474, 487], [40, 334, 474, 523, 552, 568, 656, 778, 807, 867, 870, 895, 917], [41, 95, 180, 203, 226, 398, 416, 466, 506, 551, 561, 583, 738, 763, 809, 822, 946], [41, 199, 431, 453], [41, 274, 393, 426, 632, 639, 671, 885, 928], [41, 371, 386, 402, 410, 431, 464, 468, 696, 739], [42, 104, 115, 166, 381, 405, 483, 508, 560, 597, 638, 827, 886], [42, 104, 462, 534, 551, 574, 597, 617, 753, 829, 868, 901, 906, 910, 918], [43, 103, 107, 129, 164, 304, 377, 413], [43, 120, 304, 320, 435, 569, 634], [43, 221, 285, 318, 370, 550], [43, 315, 129, 363], [44, 107, 171, 210, 890], [44, 173, 311, 322, 329, 751, 752, 793, 797, 872], [44, 182, 198, 454, 476, 482, 551, 553, 631, 739, 813], [44, 201, 332, 432, 530, 563, 639, 659, 693, 728, 762, 828, 846], [45, 62, 110, 351, 367, 414, 447, 451, 528, 578, 608, 658, 760, 796, 953], [45, 64, 100, 108, 168, 263, 759], [45, 111, 200, 351, 367, 417, 465], [46, 49, 86, 262, 538, 605, 608, 707, 766, 807], [46, 52, 64, 313, 430, 498, 543, 626, 691, 978], [46, 76, 428, 626], [46, 83, 85, 117, 128, 169, 572, 603], [46, 123, 203, 306, 321, 428, 558, 568, 592, 710, 727, 786, 859, 940], [46, 213, 325, 339, 437, 537, 616, 644, 649, 657, 695, 736, 785, 853, 877], [47, 65, 153, 269, 472, 575, 695, 726, 740], [47, 189, 386, 390, 517], [48, 140, 369, 392, 497, 554, 601, 709, 715], [48, 369, 697, 709], [49, 105, 150, 278, 281, 541, 605, 626, 676, 697, 730, 774], [49, 167, 246, 353, 356, 448, 516, 540, 545, 614, 770, 804, 892], [50, 84, 135, 354, 425, 465, 557, 561, 682, 697, 797, 915, 953, 990], [50, 94, 227, 399, 419, 426, 435, 465, 611, 618, 623, 639, 732, 737, 797, 928, 964], [50, 108, 178, 207, 225, 402, 405, 626, 843, 856], [50, 145, 165, 237, 425, 426, 578, 758, 788, 789, 797, 810, 875, 915], [50, 181, 194, 474, 519, 651, 767], [50, 457, 477, 546, 604, 639, 763, 788], [50, 737, 797], [51, 65, 185, 312, 317, 339, 499, 695, 740, 771, 834, 853, 860, 927, 947, 970, 971], [51, 259, 312, 626, 740], [51, 365, 740, 771], [51, 720, 771, 970], [52, 102, 108, 306, 388, 400, 404, 527, 626, 687, 722, 799, 838, 856, 924, 950], [52, 266, 324, 387, 397, 466, 483, 490, 572, 637, 691, 711, 763, 809, 910, 939], [52, 321, 400, 402, 572, 667, 700, 727, 922, 931, 940], [52, 355, 452, 652, 681, 752, 781, 841, 868], [52, 388, 400, 452], [53, 115, 250, 379, 399, 494, 813, 822, 908, 948], [53, 120, 338, 393, 577], [53, 191, 225, 292, 306, 330, 335, 412, 445, 499, 549, 551, 700, 931, 965, 966], [53, 347, 560, 571, 810], [54, 134, 225, 289, 313, 380, 409, 480, 511, 604, 635, 651, 751, 940, 960, 997], [54, 170, 192, 214, 459, 487, 553, 653], [54, 194, 604, 651], [54, 409, 437, 480, 553], [55, 58, 92, 210, 336, 534, 536, 570, 592, 665, 752, 762, 803, 821, 822, 913], [56, 104, 181, 422, 461, 743, 834, 912], [56, 233, 308, 347, 601, 698, 733, 743, 761, 764, 786, 822, 842, 865, 902, 968], [57, 198, 444, 557, 586, 671], [58, 192, 463, 533, 536, 543, 633, 665, 724, 801, 848, 791], [59, 105, 120, 317, 503, 521, 538, 605], [59, 315, 410, 532], [60, 124, 228, 279, 421, 522, 652, 686], [60, 334, 418, 486], [60, 344, 353, 368, 382], [61, 625, 847, 894], [62, 79, 182, 232, 278, 359, 522, 582, 651, 689, 766, 923], [62, 162, 256, 297, 376, 432, 603, 728], [62, 254, 475, 494, 618], [63, 99, 483, 505, 510, 559, 560, 569, 571, 634, 660, 663, 717, 741, 921, 974, 999], [63, 123, 190, 307, 476, 511, 514, 606, 627, 640, 704, 706, 746, 757, 835, 941, 977], [63, 190, 307, 704, 706], [65, 153, 187, 695], [65, 161, 221, 338, 360, 444, 665, 689, 703, 712, 776, 798, 804, 867, 904, 914], [66, 72, 157, 169, 183, 220, 443, 548], [66, 77, 149, 204, 418, 428, 469, 634, 662, 663, 687, 757, 905], [66, 134, 247, 314, 436, 440, 474, 623, 654, 734], [66, 174, 230, 332, 402, 460, 564, 623, 638, 664, 666, 670, 788, 838, 878, 949], [66, 495, 664, 702, 765, 768], [67, 87, 132, 314, 389, 429, 515, 544, 664, 786, 793, 857, 863, 949, 963], [67, 181, 211, 235, 385, 404, 732], [67, 436, 515, 664, 703, 734, 765, 788, 806, 815, 857], [68, 179, 215, 316, 366, 407, 436, 543, 600, 630, 705, 911], [68, 258, 482, 492, 505, 593, 624, 699, 701, 802, 820], [69, 87, 124, 303, 385, 417, 481], [69, 101, 247, 390, 417, 441, 491, 532, 555, 560, 621, 656, 712, 824, 904, 925], [69, 107, 112, 133, 191, 224, 316, 373, 501, 648, 683], [69, 139, 310, 320, 417, 493, 524, 579, 673, 820, 878], [70, 80, 111, 267, 349, 362, 489, 525, 541, 666, 707, 805, 825, 868, 870, 892, 938], [70, 80, 150, 452], [70, 256, 351, 372, 437, 447, 471, 520, 729], [70, 482, 303, 525], [71, 72, 149, 169, 443, 645], [71, 122, 125, 201, 243, 625], [73, 79, 493, 579, 593, 636], [73, 91, 95, 210, 304, 327, 483, 660, 717, 775, 844], [73, 115, 327, 369, 569, 598, 615, 634, 645, 711, 745, 794, 875, 905, 934], [73, 132, 660, 663], [74, 128, 383, 434], [74, 191, 212, 273, 285, 376, 515, 575, 693, 775], [74, 243, 342, 384, 500, 637, 883], [74, 285, 292, 445, 551], [75, 188, 252, 289, 376, 409, 439, 682, 743, 781, 792], [75, 196, 644, 658], [75, 279, 324, 421, 458], [75, 530, 537, 644, 649], [75, 644, 649, 853], [76, 137, 171, 258, 342, 428, 570, 592, 603, 659, 727, 799, 931], [77, 89, 271, 303, 362], [77, 127, 478, 499, 836, 947], [77, 131, 325, 494, 724], [77, 355, 356, 462, 681], [78, 209, 274, 311, 496, 545, 563, 704, 762, 846, 867], [78, 298, 432, 762], [78, 463, 581, 668], [79, 138, 160, 178, 281, 323, 508, 534, 564, 594, 638, 653, 672, 675, 829, 906], [79, 158, 227, 383, 407, 479, 501, 538, 587, 595, 611, 689, 735, 751, 923, 941], [79, 216, 265, 773], [79, 227, 278, 307, 451, 564, 698, 751], [80, 150, 596, 666, 805], [80, 510, 547, 655, 808], [81, 143, 158, 166, 277, 375, 406, 438, 501, 535, 595, 729, 787], [81, 205, 238, 263], [81, 328, 352, 363, 438, 600, 622, 667], [81, 373, 406, 501, 675, 747], [82, 83, 107, 272, 336], [82, 87, 145, 718], [82, 109, 172, 295, 325, 341, 408, 718, 720, 724, 783, 826, 852, 880], [82, 109, 177, 233, 308, 482, 506, 714, 755, 830, 833], [82, 223, 241, 426, 465, 686, 694, 707, 766, 789], [82, 232, 126, 295], [83, 108, 171, 179, 193, 220, 400, 437, 477, 572, 710], [83, 576, 649, 658, 720], [84, 164, 197, 236, 278, 369, 386, 390, 419, 517, 560, 633, 791, 800, 824, 916, 972], [84, 203, 319, 331, 438, 591], [84, 286, 288, 299, 331, 338, 385, 474, 529, 755], [85, 206, 348, 399, 430], [85, 243, 335, 340, 412, 445, 613], [86, 251, 273, 418], [86, 608, 605, 707], [87, 318, 582, 665, 694], [88, 106, 162, 394, 689, 698], [88, 140, 183, 239, 424, 455, 621, 657, 740, 796, 842, 869, 902, 979, 991], [88, 145, 183, 455, 528, 756, 758, 764, 831, 842], [88, 162, 532, 689, 698, 735, 766, 860, 871, 904, 923, 945, 951], [89, 93, 275, 315, 540, 692, 765], [89, 223, 234, 475], [89, 271, 284, 549, 637], [90, 109, 238, 295, 495, 605, 668, 718], [90, 113, 124, 172, 250, 339, 341, 368, 677], [90, 121, 207, 301, 344, 364, 368, 443, 481, 493, 573, 727, 833, 858], [90, 166, 212, 218, 248, 320, 492, 550, 636, 741, 750, 800, 878, 879, 881], [90, 189, 203, 301], [91, 97, 122, 680], [91, 107, 112, 181, 235, 374, 422, 556], [92, 165, 166, 393, 655, 667, 674, 675, 754, 770, 816, 870], [92, 210, 533, 536], [92, 218, 259, 360, 385, 636, 687], [93, 130, 172, 232, 288, 383, 454, 609, 771, 830], [93, 158, 490, 497, 673, 708, 722], [93, 309, 862], [96, 205, 246, 583], [97, 119, 359, 506, 625, 631, 769, 808, 826], [97, 314, 353, 576, 597, 731], [98, 130, 198, 411, 669, 739, 803, 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\n",
      "text/plain": [
       "<Figure size 1296x1296 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Non-zero values average: 0.318228\n",
      "---------------------------------------\n"
     ]
    }
   ],
   "source": [
    "ratio_A_linkcomm, avg_A_linkcomm = [], []\n",
    "for i in range(len(gs)):\n",
    "    com_linkcomm = comms[i]\n",
    "    print(\"Number of communities in %s graph: %s\" % (gnames[i], len(com_linkcomm)))\n",
    "    print(\"Link Communities:\")\n",
    "    print(sorted(com_linkcomm))\n",
    "    r_A_linkcomm = seq_match(com_A[i], com_linkcomm)\n",
    "    print(r_A_linkcomm)\n",
    "    ratio_A_linkcomm.append(r_A_linkcomm)\n",
    "    plt.figure(figsize=(18,18))\n",
    "    plt.imshow(r_A_linkcomm, cmap=plt.cm.Purples, interpolation='nearest')\n",
    "    plt.show()\n",
    "    a_A_linkcomm = nonzeroavg(r_A_linkcomm)\n",
    "    print(\"Non-zero values average: %f\" % a_A_linkcomm)\n",
    "    avg_A_linkcomm.append(a_A_linkcomm)\n",
    "    print(sprtr)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 171,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "graph: test75\n",
      "Sequental matching ratio: 0.800000\n",
      "Index: 9 - 42\n",
      "[7, 13, 20, 22, 25, 32, 33, 50, 71, 72]\n",
      "[4, 7, 12, 22, 25, 32, 33, 50, 71, 72]\n",
      "----------------------\n",
      "Sequental matching ratio: 0.750000\n",
      "Index: 6 - 4\n",
      "[37, 44, 46]\n",
      "[11, 27, 37, 44, 46]\n",
      "----------------------\n",
      "Sequental matching ratio: 0.727273\n",
      "Index: 7 - 44\n",
      "[28, 31, 36, 40]\n",
      "[24, 28, 31, 36, 40, 45, 49]\n",
      "----------------------\n",
      "Sequental matching ratio: 0.714286\n",
      "Index: 5 - 32\n",
      "[2, 39, 41, 53, 65, 66]\n",
      "[2, 5, 19, 39, 53, 56, 65, 66]\n",
      "----------------------\n",
      "Sequental matching ratio: 0.666667\n",
      "Index: 3 - 22\n",
      "[26, 30, 48, 58, 69, 73, 74]\n",
      "[9, 10, 14, 23, 26, 29, 30, 38, 48, 58, 61, 69, 73, 74]\n",
      "----------------------\n",
      "Sequental matching ratio: 0.666667\n",
      "Index: 4 - 30\n",
      "[42, 59, 67, 68]\n",
      "[6, 18, 34, 41, 42, 59, 67, 68]\n",
      "----------------------\n",
      "Sequental matching ratio: 0.666667\n",
      "Index: 9 - 11\n",
      "[7, 22, 32, 33, 71]\n",
      "[4, 7, 12, 22, 25, 32, 33, 50, 71, 72]\n",
      "----------------------\n",
      "Sequental matching ratio: 0.666667\n",
      "Index: 10 - 20\n",
      "[10, 35, 54, 55]\n",
      "[1, 21, 35, 54, 55]\n",
      "----------------------\n",
      "Sequental matching ratio: 0.600000\n",
      "Index: 7 - 10\n",
      "[24, 45, 49]\n",
      "[24, 28, 31, 36, 40, 45, 49]\n",
      "----------------------\n",
      "Sequental matching ratio: 0.545455\n",
      "Index: 4 - 9\n",
      "[18, 34, 68]\n",
      "[6, 18, 34, 41, 42, 59, 67, 68]\n",
      "----------------------\n",
      "Sequental matching ratio: 0.545455\n",
      "Index: 5 - 3\n",
      "[39, 53, 65]\n",
      "[2, 5, 19, 39, 53, 56, 65, 66]\n",
      "----------------------\n",
      "Sequental matching ratio: 0.526316\n",
      "Index: 3 - 2\n",
      "[58, 61, 69, 73, 74]\n",
      "[9, 10, 14, 23, 26, 29, 30, 38, 48, 58, 61, 69, 73, 74]\n",
      "----------------------\n",
      "Sequental matching ratio: 0.500000\n",
      "Index: 4 - 21\n",
      "[34, 64, 67, 68]\n",
      "[6, 18, 34, 41, 42, 59, 67, 68]\n",
      "----------------------\n",
      "Sequental matching ratio: 0.444444\n",
      "Index: 3 - 1\n",
      "[38, 69, 73, 74]\n",
      "[9, 10, 14, 23, 26, 29, 30, 38, 48, 58, 61, 69, 73, 74]\n",
      "----------------------\n",
      "graph: test100\n",
      "Sequental matching ratio: 1.000000\n",
      "Index: 4 - 15\n",
      "[8, 19, 22, 34, 41]\n",
      "[8, 19, 22, 34, 41]\n",
      "----------------------\n",
      "Sequental matching ratio: 1.000000\n",
      "Index: 6 - 4\n",
      "[1, 25, 27, 39, 44]\n",
      "[1, 25, 27, 39, 44]\n",
      "----------------------\n",
      "Sequental matching ratio: 1.000000\n",
      "Index: 7 - 24\n",
      "[32, 36, 51, 53, 68, 69, 71]\n",
      "[32, 36, 51, 53, 68, 69, 71]\n",
      "----------------------\n",
      "Sequental matching ratio: 1.000000\n",
      "Index: 9 - 34\n",
      "[6, 10, 13, 24, 45, 56, 70]\n",
      "[6, 10, 13, 24, 45, 56, 70]\n",
      "----------------------\n",
      "Sequental matching ratio: 1.000000\n",
      "Index: 11 - 25\n",
      "[9, 26, 29, 40, 43]\n",
      "[9, 26, 29, 40, 43]\n",
      "----------------------\n",
      "Sequental matching ratio: 0.875000\n",
      "Index: 10 - 1\n",
      "[2, 21, 28, 50, 52, 60, 75]\n",
      "[2, 14, 21, 28, 50, 52, 60, 75, 81]\n",
      "----------------------\n",
      "Sequental matching ratio: 0.818182\n",
      "Index: 10 - 40\n",
      "[2, 14, 21, 28, 37, 50, 52, 57, 59, 60, 66, 75, 81]\n",
      "[2, 14, 21, 28, 50, 52, 60, 75, 81]\n",
      "----------------------\n",
      "Sequental matching ratio: 0.793103\n",
      "Index: 1 - 41\n",
      "[1, 2, 15, 25, 27, 28, 39, 44, 46, 50, 52, 54, 57, 61, 62, 63, 67, 72, 74, 76, 78, 80, 83, 84, 85, 86, 90, 91, 92, 97, 99, 100]\n",
      "[1, 2, 6, 15, 17, 25, 27, 28, 39, 43, 44, 46, 50, 52, 54, 62, 63, 67, 72, 78, 80, 84, 86, 92, 99, 100]\n",
      "----------------------\n",
      "Sequental matching ratio: 0.779661\n",
      "Index: 1 - 44\n",
      "[1, 2, 15, 17, 25, 27, 28, 44, 46, 50, 52, 54, 59, 62, 63, 66, 67, 72, 73, 78, 79, 80, 82, 84, 86, 87, 88, 89, 92, 95, 96, 99, 100]\n",
      "[1, 2, 6, 15, 17, 25, 27, 28, 39, 43, 44, 46, 50, 52, 54, 62, 63, 67, 72, 78, 80, 84, 86, 92, 99, 100]\n",
      "----------------------\n",
      "Sequental matching ratio: 0.742857\n",
      "Index: 5 - 37\n",
      "[4, 17, 46, 54, 59, 65, 66, 73, 79, 87, 88, 89, 96, 95]\n",
      "[4, 15, 17, 18, 23, 33, 46, 54, 59, 65, 66, 67, 73, 79, 82, 87, 88, 89, 95, 96, 99]\n",
      "----------------------\n",
      "Sequental matching ratio: 0.714286\n",
      "Index: 0 - 35\n",
      "[3, 4, 8, 12, 13, 24, 29, 32, 34, 38, 41, 48, 49, 70, 72, 73, 75, 76, 77, 78, 80, 83, 84, 87, 89, 90, 91, 92, 93, 97]\n",
      "[3, 4, 5, 8, 10, 12, 13, 18, 24, 26, 29, 32, 33, 34, 38, 41, 48, 70, 73, 75, 76, 83, 87, 88, 89, 97]\n",
      "----------------------\n",
      "Sequental matching ratio: 0.714286\n",
      "Index: 7 - 23\n",
      "[36, 51, 53, 69, 71, 96, 95]\n",
      "[32, 36, 51, 53, 68, 69, 71]\n",
      "----------------------\n",
      "Sequental matching ratio: 0.666667\n",
      "Index: 10 - 11\n",
      "[21, 28, 46, 50, 52, 60]\n",
      "[2, 14, 21, 28, 50, 52, 60, 75, 81]\n",
      "----------------------\n",
      "graph: test400\n",
      "Sequental matching ratio: 1.000000\n",
      "Index: 0 - 18\n",
      "[51, 100, 131, 149, 209, 212, 221, 222, 236, 266, 274, 278, 293, 294, 295, 296, 297, 315, 317, 319, 324, 330, 331, 332, 334, 343, 356, 364]\n",
      "[51, 100, 131, 149, 209, 212, 221, 222, 236, 266, 274, 278, 293, 294, 295, 296, 297, 315, 317, 319, 324, 330, 331, 332, 334, 343, 356, 364]\n",
      "----------------------\n",
      "Sequental matching ratio: 1.000000\n",
      "Index: 1 - 16\n",
      "[25, 31, 34, 64, 82, 83, 98, 114, 117, 134, 135, 202, 225, 232, 233, 234, 242, 249, 256, 258, 264, 272, 273, 292, 299, 304, 310]\n",
      "[25, 31, 34, 64, 82, 83, 98, 114, 117, 134, 135, 202, 225, 232, 233, 234, 242, 249, 256, 258, 264, 272, 273, 292, 299, 304, 310]\n",
      "----------------------\n",
      "Sequental matching ratio: 1.000000\n",
      "Index: 2 - 10\n",
      "[11, 33, 61, 72, 86, 87, 96, 102, 115, 118, 119, 136, 164, 167, 170, 171, 178, 181, 193, 194, 197, 198, 203, 220]\n",
      "[11, 33, 61, 72, 86, 87, 96, 102, 115, 118, 119, 136, 164, 167, 170, 171, 178, 181, 193, 194, 197, 198, 203, 220]\n",
      "----------------------\n",
      "Sequental matching ratio: 1.000000\n",
      "Index: 3 - 19\n",
      "[3, 49, 84, 106, 109, 168, 196, 205, 215, 241, 252, 255, 262, 263, 283, 311, 318, 320, 328, 329, 336, 338, 339, 340, 341, 353, 354, 366]\n",
      "[3, 49, 84, 106, 109, 168, 196, 205, 215, 241, 252, 255, 262, 263, 283, 311, 318, 320, 328, 329, 336, 338, 339, 340, 341, 353, 354, 366]\n",
      "----------------------\n",
      "Sequental matching ratio: 1.000000\n",
      "Index: 4 - 14\n",
      "[14, 26, 39, 40, 53, 66, 89, 125, 144, 148, 175, 184, 186, 189, 191, 192, 206, 207, 224, 226, 228, 247, 269, 270, 284, 309]\n",
      "[14, 26, 39, 40, 53, 66, 89, 125, 144, 148, 175, 184, 186, 189, 191, 192, 206, 207, 224, 226, 228, 247, 269, 270, 284, 309]\n",
      "----------------------\n",
      "Sequental matching ratio: 1.000000\n",
      "Index: 5 - 15\n",
      "[20, 56, 116, 124, 143, 146, 155, 158, 182, 204, 210, 227, 230, 235, 238, 239, 240, 259, 279, 280, 285, 287, 288, 291, 306, 314, 316]\n",
      "[20, 56, 116, 124, 143, 146, 155, 158, 182, 204, 210, 227, 230, 235, 238, 239, 240, 259, 279, 280, 285, 287, 288, 291, 306, 314, 316]\n",
      "----------------------\n",
      "Sequental matching ratio: 1.000000\n",
      "Index: 6 - 12\n",
      "[15, 18, 59, 71, 73, 91, 112, 126, 129, 138, 151, 153, 157, 161, 169, 172, 176, 177, 179, 183, 188, 211, 218, 219]\n",
      "[15, 18, 59, 71, 73, 91, 112, 126, 129, 138, 151, 153, 157, 161, 169, 172, 176, 177, 179, 183, 188, 211, 218, 219]\n",
      "----------------------\n",
      "Sequental matching ratio: 1.000000\n",
      "Index: 7 - 13\n",
      "[2, 8, 32, 62, 92, 121, 122, 127, 139, 140, 152, 214, 216, 243, 245, 248, 261, 267, 281, 289, 290, 298, 300, 303, 308, 312, 327]\n",
      "[2, 8, 32, 62, 92, 121, 122, 127, 139, 140, 152, 214, 216, 243, 245, 248, 261, 267, 281, 289, 290, 298, 300, 303, 308, 312, 327]\n",
      "----------------------\n",
      "Sequental matching ratio: 1.000000\n",
      "Index: 8 - 21\n",
      "[17, 60, 120, 147, 159, 213, 223, 229, 246, 253, 254, 257, 268, 276, 277, 282, 286, 305, 321, 322, 325, 337, 348, 350, 358, 359, 360, 370]\n",
      "[17, 60, 120, 147, 159, 213, 223, 229, 246, 253, 254, 257, 268, 276, 277, 282, 286, 305, 321, 322, 325, 337, 348, 350, 358, 359, 360, 370]\n",
      "----------------------\n",
      "Sequental matching ratio: 1.000000\n",
      "Index: 10 - 8\n",
      "[5, 9, 27, 30, 37, 45, 50, 54, 58, 65, 69, 74, 76, 77, 80, 81, 90, 97, 99, 103, 133, 162]\n",
      "[5, 9, 27, 30, 37, 45, 50, 54, 58, 65, 69, 74, 76, 77, 80, 81, 90, 97, 99, 103, 133, 162]\n",
      "----------------------\n",
      "Sequental matching ratio: 1.000000\n",
      "Index: 11 - 9\n",
      "[1, 4, 6, 21, 22, 24, 28, 35, 38, 42, 43, 44, 68, 78, 88, 93, 94, 95, 105, 108, 113, 145]\n",
      "[1, 4, 6, 21, 22, 24, 28, 35, 38, 42, 43, 44, 68, 78, 88, 93, 94, 95, 105, 108, 113, 145]\n",
      "----------------------\n",
      "Sequental matching ratio: 1.000000\n",
      "Index: 12 - 11\n",
      "[10, 16, 19, 36, 41, 46, 55, 57, 63, 67, 70, 79, 101, 128, 130, 141, 142, 154, 156, 163, 165, 185, 195]\n",
      "[10, 16, 19, 36, 41, 46, 55, 57, 63, 67, 70, 79, 101, 128, 130, 141, 142, 154, 156, 163, 165, 185, 195]\n",
      "----------------------\n",
      "Sequental matching ratio: 1.000000\n",
      "Index: 13 - 17\n",
      "[7, 12, 13, 29, 47, 48, 52, 75, 104, 107, 110, 111, 132, 160, 166, 173, 174, 180, 190, 201, 208, 217, 231, 271, 275]\n",
      "[7, 12, 13, 29, 47, 48, 52, 75, 104, 107, 110, 111, 132, 160, 166, 173, 174, 180, 190, 201, 208, 217, 231, 271, 275]\n",
      "----------------------\n",
      "Sequental matching ratio: 0.987952\n",
      "Index: 14 - 20\n",
      "[23, 85, 123, 137, 150, 187, 199, 200, 237, 244, 250, 251, 260, 265, 301, 302, 307, 313, 323, 326, 333, 335, 342, 344, 345, 349, 367, 373]\n",
      "[23, 85, 123, 137, 150, 187, 199, 200, 237, 244, 250, 251, 260, 265, 301, 302, 307, 313, 323, 326, 333, 335, 342, 344, 345, 349, 367, 373]\n",
      "----------------------\n",
      "Sequental matching ratio: 0.900000\n",
      "Index: 9 - 29\n",
      "[246, 346, 347, 351, 352, 355, 357, 361, 362, 363, 365, 368, 369, 371, 372, 374, 375, 376, 377, 378, 379, 380, 381, 382, 383, 384, 385, 386, 387, 388, 389, 390, 391, 392, 393, 394, 395, 396, 397, 398, 399, 400]\n",
      "[346, 347, 351, 352, 355, 357, 361, 362, 363, 365, 368, 369, 371, 372, 374, 375, 376, 377, 378, 379, 380, 381, 382, 383, 384, 385, 386, 387, 388, 389, 390, 391, 392, 393, 394, 395, 396, 397, 398, 399, 400]\n",
      "----------------------\n",
      "Sequental matching ratio: 0.800000\n",
      "Index: 17 - 108\n",
      "[58, 96, 136, 178, 182, 264, 270, 271, 83, 400, 374]\n",
      "[58, 96, 136, 178, 182, 264, 270, 271, 400]\n",
      "----------------------\n",
      "Sequental matching ratio: 0.736842\n",
      "Index: 43 - 24\n",
      "[110, 173, 196, 229]\n",
      "[110, 173, 185, 196, 208, 229]\n",
      "----------------------\n",
      "Sequental matching ratio: 0.727273\n",
      "Index: 44 - 146\n",
      "[21, 30, 37, 61, 269]\n",
      "[21, 30, 37, 46, 269]\n",
      "----------------------\n",
      "Sequental matching ratio: 0.727273\n",
      "Index: 45 - 144\n",
      "[29, 47, 90, 213, 273]\n",
      "[29, 47, 90, 93, 213]\n",
      "----------------------\n",
      "Sequental matching ratio: 0.714286\n",
      "Index: 19 - 68\n",
      "[14, 53, 154, 174, 291, 305, 332, 380, 330, 357, 362]\n",
      "[14, 35, 53, 154, 291, 305, 332, 380]\n",
      "----------------------\n",
      "Sequental matching ratio: 0.666667\n",
      "Index: 39 - 57\n",
      "[39, 183, 185, 313, 321]\n",
      "[39, 51, 83, 183, 313, 321]\n",
      "----------------------\n",
      "Sequental matching ratio: 0.666667\n",
      "Index: 57 - 70\n",
      "[121, 281, 348, 376]\n",
      "[74, 75, 121, 179, 281, 348, 376]\n",
      "----------------------\n",
      "Sequental matching ratio: 0.666667\n",
      "Index: 55 - 153\n",
      "[57, 135, 145, 172, 285, 325, 344, 345]\n",
      "[118, 135, 145, 172, 285, 344]\n",
      "----------------------\n",
      "Sequental matching ratio: 0.666667\n",
      "Index: 15 - 139\n",
      "[17, 30, 32, 45, 56, 92, 246, 347, 131, 356, 332]\n",
      "[17, 32, 45, 56, 81, 92, 148, 246, 275, 356]\n",
      "----------------------\n",
      "Sequental matching ratio: 0.666667\n",
      "Index: 17 - 77\n",
      "[58, 136, 264, 270, 271, 293]\n",
      "[58, 96, 136, 178, 182, 264, 270, 271, 400]\n",
      "----------------------\n",
      "graph: test1000\n",
      "Sequental matching ratio: 0.529412\n",
      "Index: 2 - 459\n",
      "[88, 162, 532, 689, 698, 735, 766, 860, 871, 904, 923, 945, 951]\n",
      "[79, 88, 156, 162, 201, 227, 234, 278, 479, 542, 611, 689, 698, 735, 751, 766, 803, 860, 923, 941, 951]\n",
      "----------------------\n",
      "Sequental matching ratio: 0.512821\n",
      "Index: 9 - 597\n",
      "[20, 22, 57, 60, 178, 347, 365, 539, 553, 556, 631, 655, 799, 841, 864, 952, 960, 1000]\n",
      "[22, 60, 118, 144, 159, 178, 240, 257, 305, 322, 347, 357, 498, 539, 612, 702, 841, 864, 952, 960, 1000]\n",
      "----------------------\n",
      "Sequental matching ratio: 0.511628\n",
      "Index: 28 - 266\n",
      "[12, 13, 141, 160, 175, 290, 305, 350, 391, 499, 500, 570, 637, 869, 883, 970, 984]\n",
      "[8, 12, 13, 89, 98, 175, 271, 284, 290, 350, 391, 449, 499, 500, 558, 637, 641, 743, 780, 839, 883, 927, 933, 935, 967, 984]\n",
      "----------------------\n"
     ]
    }
   ],
   "source": [
    "limiters = [0.4, 0.6, 0.6, 0.5]\n",
    "for i in range(len(gs)):\n",
    "    print(\"graph: %s\" % gnames[i])\n",
    "    getHighestRatios(ratio_A_linkcomm[i], 25, com_A[i], comms[i], limiters[i])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
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