random_network_comparison.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "1b82603a",
   "metadata": {},
   "source": [
    "## Analysis of Results\n",
    "### Computation below"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "id": "b708a758",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Name: \n",
      "Type: DiGraph\n",
      "Number of nodes: 4114\n",
      "Number of edges: 9949\n",
      "Average in degree:   2.4183\n",
      "Average out degree:   2.4183\n"
     ]
    }
   ],
   "source": [
    "# get info on twitter network\n",
    "print(nx.info(g))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 49,
   "id": "6a8d5db9",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Name: \n",
      "Type: DiGraph\n",
      "Number of nodes: 4114\n",
      "Number of edges: 10011\n",
      "Average in degree:   2.4334\n",
      "Average out degree:   2.4334\n"
     ]
    }
   ],
   "source": [
    "# get info on random network\n",
    "print(nx.info(h))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "44c1fc99",
   "metadata": {},
   "outputs": [],
   "source": [
    "# note: observing node role percentage values\n",
    "# each node belongs to several roles, depending on overwhelming characteristics it is assigned to one role\n",
    "# checking node role percentages might reveal about role allocation"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "id": "f93137ee",
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "            role_0       role_1       role_2       role_3       role_4  \\\n",
      "count  4114.000000  4114.000000  4114.000000  4114.000000  4114.000000   \n",
      "mean      0.081283     0.120368     0.085296     0.175355     0.131577   \n",
      "std       0.065038     0.103252     0.091523     0.198863     0.163258   \n",
      "min       0.001087     0.000724     0.000925     0.000423     0.000660   \n",
      "25%       0.007119     0.027217     0.005910     0.125000     0.007119   \n",
      "50%       0.125000     0.125000     0.125000     0.125000     0.125000   \n",
      "75%       0.125000     0.125000     0.125000     0.175762     0.125000   \n",
      "max       0.462629     0.897961     0.937350     0.965089     0.937350   \n",
      "\n",
      "            role_5       role_6       role_7  \n",
      "count  4114.000000  4114.000000  4114.000000  \n",
      "mean      0.088903     0.168312     0.148906  \n",
      "std       0.078931     0.178173     0.154406  \n",
      "min       0.000488     0.000423     0.000709  \n",
      "25%       0.007119     0.086403     0.027217  \n",
      "50%       0.125000     0.125000     0.125000  \n",
      "75%       0.125000     0.125000     0.125000  \n",
      "max       0.828847     0.618928     0.897961  \n"
     ]
    }
   ],
   "source": [
    "# twitter network\n",
    "print(g_role_extractor.role_percentage.describe())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 52,
   "id": "400ec5c1",
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "            role_0       role_1       role_2       role_3       role_4  \\\n",
      "count  4114.000000  4114.000000  4114.000000  4114.000000  4114.000000   \n",
      "mean      0.077613     0.130390     0.156538     0.131432     0.133218   \n",
      "std       0.061404     0.133622     0.145773     0.115714     0.117845   \n",
      "min       0.003216     0.003002     0.002317     0.002317     0.002555   \n",
      "25%       0.009665     0.007328     0.015298     0.012511     0.014628   \n",
      "50%       0.074802     0.103958     0.125000     0.125000     0.125000   \n",
      "75%       0.125000     0.212892     0.240021     0.196252     0.197620   \n",
      "max       0.318123     0.715056     0.828226     0.837599     0.686735   \n",
      "\n",
      "            role_5       role_6       role_7  \n",
      "count  4114.000000  4114.000000  4114.000000  \n",
      "mean      0.110737     0.128522     0.131549  \n",
      "std       0.115588     0.134423     0.135417  \n",
      "min       0.002722     0.002317     0.002317  \n",
      "25%       0.006737     0.007953     0.007370  \n",
      "50%       0.084612     0.104986     0.114062  \n",
      "75%       0.179738     0.187919     0.187990  \n",
      "max       0.642556     0.931497     0.837599  \n"
     ]
    }
   ],
   "source": [
    "# random network\n",
    "print(h_role_extractor.role_percentage.describe())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 53,
   "id": "80dd921a",
   "metadata": {},
   "outputs": [],
   "source": [
    "# std for each column in the random network is around 0.125\n",
    "# std for each column in the twitter network varies slightly more (however not significantly?)\n",
    "\n",
    "# std of all columns in random network: 0.11997325 (so about 0.12)\n",
    "# std of all columns in twitter network: 0.1291805 (so about 0.13)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "id": "89188daf",
   "metadata": {},
   "outputs": [],
   "source": [
    "# max for each column in the twitter network is higher than in random network (more numbers around 0.9)\n",
    "## this means nodes are able to be clearly assigned to a role group\n",
    "# min for each column in the twitter network is smaller than in random network \n",
    "## (10 times less bzw. Verschiebung um eine Dezimalstelle)\n",
    "\n",
    "# one could say that nodes in the twitter network have a more unique and definite role"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 54,
   "id": "e311435e",
   "metadata": {},
   "outputs": [],
   "source": [
    "# node distribution in roles is more even in random network\n",
    "# in twitter network about half the nodes are in role_0 and generally not evenly distributed"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 71,
   "id": "31493728",
   "metadata": {},
   "outputs": [],
   "source": [
    "# at what point is a role a role?\n",
    "## perhaps when the std of all columns is above 0.125 (what about below 0.125?)\n",
    "## does this comparison at all show a (noticeable) difference?\n",
    "## noticeable differences were the node distribution in roles and the significant patterns in the twitter network\n",
    "### when analysing individual nodes from each role group\n",
    "## so can there be a mathematical conclusion?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 101,
   "id": "d29f4846",
   "metadata": {},
   "outputs": [],
   "source": [
    "# perhaps analysing the degrees of the nodes in each role group will reveal more\n",
    "\n",
    "# just for clarity and easy comparison (computation is below)\n",
    "\n",
    "#          Average out-degree       / Average in-degree of each role group in twitter network\n",
    "# role_0:  0.0                      / 0.000482392667631452\n",
    "# role_1:  0.015957446808510637     / 0.015957446808510637\n",
    "# role_2:  0.3333333333333333       / 0.043859649122807015\n",
    "# role_3:  0.0042643923240938165    / 0.0\n",
    "# role_4:  0.0031847133757961785    / 0.0\n",
    "# role_5:  0.007407407407407408     / 0.0 \n",
    "# role_6:  0.0019047619047619048    / 0.0\n",
    "# role_7:  0.016891891891891893     / 0.0033783783783783786\n",
    "    \n",
    "\n",
    "#          Average out-degree       / Average in-degree of each role group in random network\n",
    "# role_0:  0.01650943396226415      / 0.0\n",
    "# role_1:  0.006195786864931847     / 0.0037174721189591076\n",
    "# role_2:  0.002150537634408602     / 0.002150537634408602\n",
    "# role_3:  0.0021929824561403508    / 0.008771929824561403\n",
    "# role_4:  0.006437768240343348     / 0.006437768240343348\n",
    "# role_5:  0.007352941176470588     / 0.014705882352941176\n",
    "# role_6:  0.005847953216374269     / 0.005847953216374269\n",
    "# role_7:  0.0071174377224199285    / 0.0035587188612099642\n",
    "\n",
    "## so there is a definite role detected in the random graph with is role_0\n",
    "## otherwise there isn't anything noticeable\n",
    "## observing the twitter network the roles are more distinct\n",
    "#### role_0 has no outgoing edges\n",
    "#### role_1 has the same amout of ingoing and outgoing edges\n",
    "#### role_3,4,5,6 have no ingoing edges"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "bbe77205",
   "metadata": {},
   "outputs": [],
   "source": [
    "# another noticeable thing is when observing the 50%Percentile\n",
    "# for the twitter network it is always 0.125 whereas for the random network is variates"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "1670bbcf",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "comparison of max values:  0.9782088568084698\n",
      "comparison of 75%Percentile values:  0.9808090461731772\n"
     ]
    }
   ],
   "source": [
    "# cosine similarity for max values\n",
    "max_twitter = [0.462629, 0.897961, 0.937350, 0.965089, 0.937350, 0.828847, 0.618928, 0.897961]\n",
    "max_random = [0.318123, 0.715056, 0.828226, 0.837599, 0.686735, 0.642556, 0.931497, 0.837599]\n",
    "\n",
    "max_result = 1 - spatial.distance.cosine(max_twitter, max_random)\n",
    "print('comparison of max values: ', max_result)\n",
    "\n",
    "# cosine similarity for 75%percentile values\n",
    "perc_twitter = [0.125, 0.125, 0.125, 0.175762, 0.125, 0.125, 0.125, 0.125]\n",
    "perc_random = [0.125, 0.212892, 0.240021, 0.196252, 0.197620, 0.179738, 0.187919, 0.187990]\n",
    "\n",
    "perc_result = 1 - spatial.distance.cosine(perc_twitter, perc_random)\n",
    "print('comparison of 75%Percentile values: ', perc_result)\n",
    "\n",
    "# note that two proportional vectors have a cosine similarity of 1, and the calculated results are very close to 1\n",
    "# the value of 1 indicates that the two vertices have exactly the same neighbors\n",
    "# the vectors/roles for each network are about 98% similar\n",
    "# what does this mean for the roles?\n",
    "# better analysis of role discovery on random networks needed to interpret these results"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "445c424c",
   "metadata": {},
   "source": [
    "## Creating Networks"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "6aae47be",
   "metadata": {},
   "outputs": [],
   "source": [
    "# data processing and network processing \n",
    "import pandas as pd\n",
    "import networkx as nx\n",
    "\n",
    "# plotting\n",
    "import matplotlib\n",
    "import matplotlib.pyplot as plt\n",
    "\n",
    "# role extraction\n",
    "from graphrole import RecursiveFeatureExtractor, RoleExtractor\n",
    "\n",
    "# extras\n",
    "import numpy as np\n",
    "import seaborn as sns\n",
    "import warnings\n",
    "from pprint import pprint\n",
    "from scipy import spatial"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "ecaafc2d",
   "metadata": {},
   "outputs": [],
   "source": [
    "# load the data set\n",
    "data = pd.read_csv('data-triell.csv')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "f233f175",
   "metadata": {},
   "outputs": [],
   "source": [
    "def create_directed_graph(df):\n",
    "    g = nx.from_pandas_edgelist(df, source='username_1',\n",
    "                                target='username_2',\n",
    "                                create_using=nx.DiGraph())\n",
    "    return g"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "0722090d",
   "metadata": {},
   "outputs": [],
   "source": [
    "# create retweet graph from dataframe\n",
    "g = create_directed_graph(data)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "295aecd8",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<networkx.classes.digraph.DiGraph at 0x1c5325a3af0>"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "g"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "7395ef07",
   "metadata": {},
   "source": [
    "### Role Discovery on Random Network"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "fd39f9a4",
   "metadata": {},
   "outputs": [],
   "source": [
    "# first test out role extraction on a random network (probability set to 0.0006 to simulate a similar average degree)\n",
    "h = nx.erdos_renyi_graph(4114, 0.0006, directed=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "af6f5607",
   "metadata": {},
   "outputs": [],
   "source": [
    "# extract features using graphrole library\n",
    "h_feature_extractor = RecursiveFeatureExtractor(h)\n",
    "h_features = h_feature_extractor.extract_features()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "9e65fa8b",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "h_node_roles:\n",
      "{0: 'role_3',\n",
      " 1: 'role_2',\n",
      " 2: 'role_2',\n",
      " 3: 'role_3',\n",
      " 4: 'role_0',\n",
      " 5: 'role_5',\n",
      " 6: 'role_6',\n",
      " 7: 'role_3',\n",
      " 8: 'role_1',\n",
      " 9: 'role_7',\n",
      " 10: 'role_1',\n",
      " 11: 'role_5',\n",
      " 12: 'role_1',\n",
      " 13: 'role_3',\n",
      " 14: 'role_3',\n",
      " 15: 'role_1',\n",
      " 16: 'role_2',\n",
      " 17: 'role_7',\n",
      " 18: 'role_1',\n",
      " 19: 'role_1',\n",
      " 20: 'role_7',\n",
      " 21: 'role_1',\n",
      " 22: 'role_2',\n",
      " 23: 'role_1',\n",
      " 24: 'role_0',\n",
      " 25: 'role_1',\n",
      " 26: 'role_1',\n",
      " 27: 'role_0',\n",
      " 28: 'role_0',\n",
      " 29: 'role_3',\n",
      " 30: 'role_3',\n",
      " 31: 'role_2',\n",
      " 32: 'role_2',\n",
      " 33: 'role_0',\n",
      " 34: 'role_1',\n",
      " 35: 'role_0',\n",
      " 36: 'role_6',\n",
      " 37: 'role_4',\n",
      " 38: 'role_2',\n",
      " 39: 'role_3',\n",
      " 40: 'role_3',\n",
      " 41: 'role_1',\n",
      " 42: 'role_0',\n",
      " 43: 'role_3',\n",
      " 44: 'role_4',\n",
      " 45: 'role_6',\n",
      " 46: 'role_5',\n",
      " 47: 'role_3',\n",
      " 48: 'role_4',\n",
      " 49: 'role_2',\n",
      " 50: 'role_1',\n",
      " 51: 'role_5',\n",
      " 52: 'role_3',\n",
      " 53: 'role_3',\n",
      " 54: 'role_4',\n",
      " 55: 'role_0',\n",
      " 56: 'role_6',\n",
      " 57: 'role_4',\n",
      " 58: 'role_2',\n",
      " 59: 'role_6',\n",
      " 60: 'role_5',\n",
      " 61: 'role_1',\n",
      " 62: 'role_2',\n",
      " 63: 'role_1',\n",
      " 64: 'role_3',\n",
      " 65: 'role_2',\n",
      " 66: 'role_0',\n",
      " 67: 'role_3',\n",
      " 68: 'role_4',\n",
      " 69: 'role_6',\n",
      " 70: 'role_6',\n",
      " 71: 'role_2',\n",
      " 72: 'role_4',\n",
      " 73: 'role_1',\n",
      " 74: 'role_2',\n",
      " 75: 'role_0',\n",
      " 76: 'role_4',\n",
      " 77: 'role_1',\n",
      " 78: 'role_6',\n",
      " 79: 'role_4',\n",
      " 80: 'role_7',\n",
      " 81: 'role_2',\n",
      " 82: 'role_5',\n",
      " 83: 'role_1',\n",
      " 84: 'role_6',\n",
      " 85: 'role_4',\n",
      " 86: 'role_1',\n",
      " 87: 'role_5',\n",
      " 88: 'role_4',\n",
      " 89: 'role_1',\n",
      " 90: 'role_7',\n",
      " 91: 'role_1',\n",
      " 92: 'role_2',\n",
      " 93: 'role_0',\n",
      " 94: 'role_6',\n",
      " 95: 'role_6',\n",
      " 96: 'role_6',\n",
      " 97: 'role_6',\n",
      " 98: 'role_1',\n",
      " 99: 'role_0',\n",
      " 100: 'role_4',\n",
      " 101: 'role_7',\n",
      " 102: 'role_6',\n",
      " 103: 'role_1',\n",
      " 104: 'role_2',\n",
      " 105: 'role_2',\n",
      " 106: 'role_2',\n",
      " 107: 'role_1',\n",
      " 108: 'role_5',\n",
      " 109: 'role_3',\n",
      " 110: 'role_2',\n",
      " 111: 'role_4',\n",
      " 112: 'role_4',\n",
      " 113: 'role_3',\n",
      " 114: 'role_7',\n",
      " 115: 'role_3',\n",
      " 116: 'role_2',\n",
      " 117: 'role_7',\n",
      " 118: 'role_0',\n",
      " 119: 'role_1',\n",
      " 120: 'role_3',\n",
      " 121: 'role_2',\n",
      " 122: 'role_5',\n",
      " 123: 'role_4',\n",
      " 124: 'role_0',\n",
      " 125: 'role_2',\n",
      " 126: 'role_3',\n",
      " 127: 'role_0',\n",
      " 128: 'role_3',\n",
      " 129: 'role_0',\n",
      " 130: 'role_6',\n",
      " 131: 'role_4',\n",
      " 132: 'role_2',\n",
      " 133: 'role_2',\n",
      " 134: 'role_2',\n",
      " 135: 'role_3',\n",
      " 136: 'role_2',\n",
      " 137: 'role_7',\n",
      " 138: 'role_1',\n",
      " 139: 'role_2',\n",
      " 140: 'role_4',\n",
      " 141: 'role_5',\n",
      " 142: 'role_7',\n",
      " 143: 'role_6',\n",
      " 144: 'role_1',\n",
      " 145: 'role_4',\n",
      " 146: 'role_2',\n",
      " 147: 'role_0',\n",
      " 148: 'role_2',\n",
      " 149: 'role_0',\n",
      " 150: 'role_2',\n",
      " 151: 'role_3',\n",
      " 152: 'role_2',\n",
      " 153: 'role_2',\n",
      " 154: 'role_2',\n",
      " 155: 'role_2',\n",
      " 156: 'role_1',\n",
      " 157: 'role_5',\n",
      " 158: 'role_5',\n",
      " 159: 'role_3',\n",
      " 160: 'role_1',\n",
      " 161: 'role_2',\n",
      " 162: 'role_2',\n",
      " 163: 'role_1',\n",
      " 164: 'role_1',\n",
      " 165: 'role_3',\n",
      " 166: 'role_4',\n",
      " 167: 'role_2',\n",
      " 168: 'role_1',\n",
      " 169: 'role_0',\n",
      " 170: 'role_2',\n",
      " 171: 'role_2',\n",
      " 172: 'role_5',\n",
      " 173: 'role_3',\n",
      " 174: 'role_4',\n",
      " 175: 'role_5',\n",
      " 176: 'role_3',\n",
      " 177: 'role_3',\n",
      " 178: 'role_6',\n",
      " 179: 'role_2',\n",
      " 180: 'role_0',\n",
      " 181: 'role_1',\n",
      " 182: 'role_4',\n",
      " 183: 'role_3',\n",
      " 184: 'role_4',\n",
      " 185: 'role_2',\n",
      " 186: 'role_3',\n",
      " 187: 'role_3',\n",
      " 188: 'role_1',\n",
      " 189: 'role_7',\n",
      " 190: 'role_6',\n",
      " 191: 'role_2',\n",
      " 192: 'role_3',\n",
      " 193: 'role_2',\n",
      " 194: 'role_4',\n",
      " 195: 'role_2',\n",
      " 196: 'role_4',\n",
      " 197: 'role_4',\n",
      " 198: 'role_2',\n",
      " 199: 'role_2',\n",
      " 200: 'role_5',\n",
      " 201: 'role_1',\n",
      " 202: 'role_0',\n",
      " 203: 'role_3',\n",
      " 204: 'role_5',\n",
      " 205: 'role_4',\n",
      " 206: 'role_1',\n",
      " 207: 'role_7',\n",
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      " 1180: 'role_7',\n",
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      " 1252: 'role_4',\n",
      " 1253: 'role_7',\n",
      " 1254: 'role_0',\n",
      " 1255: 'role_3',\n",
      " 1256: 'role_1',\n",
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      " 1261: 'role_3',\n",
      " 1262: 'role_6',\n",
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      " 1264: 'role_5',\n",
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      " 1278: 'role_3',\n",
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      " 1287: 'role_1',\n",
      " 1288: 'role_6',\n",
      " 1289: 'role_6',\n",
      " 1290: 'role_5',\n",
      " 1291: 'role_1',\n",
      " 1292: 'role_1',\n",
      " 1293: 'role_4',\n",
      " 1294: 'role_5',\n",
      " 1295: 'role_2',\n",
      " 1296: 'role_1',\n",
      " 1297: 'role_1',\n",
      " 1298: 'role_7',\n",
      " 1299: 'role_1',\n",
      " 1300: 'role_3',\n",
      " 1301: 'role_1',\n",
      " 1302: 'role_1',\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      " 1303: 'role_4',\n",
      " 1304: 'role_4',\n",
      " 1305: 'role_4',\n",
      " 1306: 'role_2',\n",
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      " 1315: 'role_3',\n",
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      " 1400: 'role_1',\n",
      " 1401: 'role_1',\n",
      " 1402: 'role_2',\n",
      " 1403: 'role_5',\n",
      " 1404: 'role_0',\n",
      " 1405: 'role_6',\n",
      " 1406: 'role_1',\n",
      " 1407: 'role_3',\n",
      " 1408: 'role_6',\n",
      " 1409: 'role_2',\n",
      " 1410: 'role_6',\n",
      " 1411: 'role_0',\n",
      " 1412: 'role_2',\n",
      " 1413: 'role_3',\n",
      " 1414: 'role_2',\n",
      " 1415: 'role_2',\n",
      " 1416: 'role_3',\n",
      " 1417: 'role_5',\n",
      " 1418: 'role_2',\n",
      " 1419: 'role_1',\n",
      " 1420: 'role_2',\n",
      " 1421: 'role_1',\n",
      " 1422: 'role_3',\n",
      " 1423: 'role_1',\n",
      " 1424: 'role_1',\n",
      " 1425: 'role_6',\n",
      " 1426: 'role_1',\n",
      " 1427: 'role_4',\n",
      " 1428: 'role_5',\n",
      " 1429: 'role_1',\n",
      " 1430: 'role_2',\n",
      " 1431: 'role_2',\n",
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      " 1433: 'role_0',\n",
      " 1434: 'role_1',\n",
      " 1435: 'role_2',\n",
      " 1436: 'role_2',\n",
      " 1437: 'role_1',\n",
      " 1438: 'role_5',\n",
      " 1439: 'role_1',\n",
      " 1440: 'role_3',\n",
      " 1441: 'role_3',\n",
      " 1442: 'role_6',\n",
      " 1443: 'role_1',\n",
      " 1444: 'role_6',\n",
      " 1445: 'role_0',\n",
      " 1446: 'role_6',\n",
      " 1447: 'role_2',\n",
      " 1448: 'role_2',\n",
      " 1449: 'role_4',\n",
      " 1450: 'role_1',\n",
      " 1451: 'role_0',\n",
      " 1452: 'role_0',\n",
      " 1453: 'role_6',\n",
      " 1454: 'role_7',\n",
      " 1455: 'role_5',\n",
      " 1456: 'role_6',\n",
      " 1457: 'role_2',\n",
      " 1458: 'role_2',\n",
      " 1459: 'role_2',\n",
      " 1460: 'role_7',\n",
      " 1461: 'role_3',\n",
      " 1462: 'role_2',\n",
      " 1463: 'role_2',\n",
      " 1464: 'role_2',\n",
      " 1465: 'role_3',\n",
      " 1466: 'role_2',\n",
      " 1467: 'role_2',\n",
      " 1468: 'role_2',\n",
      " 1469: 'role_2',\n",
      " 1470: 'role_7',\n",
      " 1471: 'role_1',\n",
      " 1472: 'role_1',\n",
      " 1473: 'role_0',\n",
      " 1474: 'role_7',\n",
      " 1475: 'role_0',\n",
      " 1476: 'role_2',\n",
      " 1477: 'role_1',\n",
      " 1478: 'role_4',\n",
      " 1479: 'role_2',\n",
      " 1480: 'role_2',\n",
      " 1481: 'role_1',\n",
      " 1482: 'role_5',\n",
      " 1483: 'role_3',\n",
      " 1484: 'role_2',\n",
      " 1485: 'role_2',\n",
      " 1486: 'role_3',\n",
      " 1487: 'role_4',\n",
      " 1488: 'role_1',\n",
      " 1489: 'role_6',\n",
      " 1490: 'role_5',\n",
      " 1491: 'role_0',\n",
      " 1492: 'role_5',\n",
      " 1493: 'role_1',\n",
      " 1494: 'role_2',\n",
      " 1495: 'role_2',\n",
      " 1496: 'role_0',\n",
      " 1497: 'role_5',\n",
      " 1498: 'role_4',\n",
      " 1499: 'role_0',\n",
      " 1500: 'role_6',\n",
      " 1501: 'role_0',\n",
      " 1502: 'role_0',\n",
      " 1503: 'role_1',\n",
      " 1504: 'role_7',\n",
      " 1505: 'role_1',\n",
      " 1506: 'role_1',\n",
      " 1507: 'role_5',\n",
      " 1508: 'role_1',\n",
      " 1509: 'role_6',\n",
      " 1510: 'role_1',\n",
      " 1511: 'role_4',\n",
      " 1512: 'role_7',\n",
      " 1513: 'role_2',\n",
      " 1514: 'role_5',\n",
      " 1515: 'role_1',\n",
      " 1516: 'role_3',\n",
      " 1517: 'role_2',\n",
      " 1518: 'role_3',\n",
      " 1519: 'role_0',\n",
      " 1520: 'role_3',\n",
      " 1521: 'role_7',\n",
      " 1522: 'role_1',\n",
      " 1523: 'role_0',\n",
      " 1524: 'role_2',\n",
      " 1525: 'role_2',\n",
      " 1526: 'role_3',\n",
      " 1527: 'role_1',\n",
      " 1528: 'role_6',\n",
      " 1529: 'role_2',\n",
      " 1530: 'role_4',\n",
      " 1531: 'role_4',\n",
      " 1532: 'role_0',\n",
      " 1533: 'role_6',\n",
      " 1534: 'role_2',\n",
      " 1535: 'role_1',\n",
      " 1536: 'role_0',\n",
      " 1537: 'role_2',\n",
      " 1538: 'role_2',\n",
      " 1539: 'role_2',\n",
      " 1540: 'role_2',\n",
      " 1541: 'role_4',\n",
      " 1542: 'role_7',\n",
      " 1543: 'role_4',\n",
      " 1544: 'role_3',\n",
      " 1545: 'role_4',\n",
      " 1546: 'role_5',\n",
      " 1547: 'role_1',\n",
      " 1548: 'role_4',\n",
      " 1549: 'role_0',\n",
      " 1550: 'role_2',\n",
      " 1551: 'role_0',\n",
      " 1552: 'role_0',\n",
      " 1553: 'role_6',\n",
      " 1554: 'role_7',\n",
      " 1555: 'role_4',\n",
      " 1556: 'role_6',\n",
      " 1557: 'role_2',\n",
      " 1558: 'role_3',\n",
      " 1559: 'role_2',\n",
      " 1560: 'role_4',\n",
      " 1561: 'role_5',\n",
      " 1562: 'role_2',\n",
      " 1563: 'role_2',\n",
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      " 1565: 'role_1',\n",
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      " 1567: 'role_7',\n",
      " 1568: 'role_6',\n",
      " 1569: 'role_2',\n",
      " 1570: 'role_0',\n",
      " 1571: 'role_7',\n",
      " 1572: 'role_3',\n",
      " 1573: 'role_5',\n",
      " 1574: 'role_3',\n",
      " 1575: 'role_5',\n",
      " 1576: 'role_0',\n",
      " 1577: 'role_2',\n",
      " 1578: 'role_2',\n",
      " 1579: 'role_4',\n",
      " 1580: 'role_2',\n",
      " 1581: 'role_2',\n",
      " 1582: 'role_2',\n",
      " 1583: 'role_0',\n",
      " 1584: 'role_2',\n",
      " 1585: 'role_0',\n",
      " 1586: 'role_4',\n",
      " 1587: 'role_0',\n",
      " 1588: 'role_3',\n",
      " 1589: 'role_2',\n",
      " 1590: 'role_1',\n",
      " 1591: 'role_7',\n",
      " 1592: 'role_5',\n",
      " 1593: 'role_2',\n",
      " 1594: 'role_4',\n",
      " 1595: 'role_2',\n",
      " 1596: 'role_1',\n",
      " 1597: 'role_2',\n",
      " 1598: 'role_3',\n",
      " 1599: 'role_3',\n",
      " 1600: 'role_4',\n",
      " 1601: 'role_1',\n",
      " 1602: 'role_1',\n",
      " 1603: 'role_4',\n",
      " 1604: 'role_2',\n",
      " 1605: 'role_1',\n",
      " 1606: 'role_2',\n",
      " 1607: 'role_2',\n",
      " 1608: 'role_1',\n",
      " 1609: 'role_7',\n",
      " 1610: 'role_7',\n",
      " 1611: 'role_2',\n",
      " 1612: 'role_2',\n",
      " 1613: 'role_7',\n",
      " 1614: 'role_2',\n",
      " 1615: 'role_2',\n",
      " 1616: 'role_0',\n",
      " 1617: 'role_0',\n",
      " 1618: 'role_2',\n",
      " 1619: 'role_2',\n",
      " 1620: 'role_4',\n",
      " 1621: 'role_3',\n",
      " 1622: 'role_3',\n",
      " 1623: 'role_2',\n",
      " 1624: 'role_4',\n",
      " 1625: 'role_5',\n",
      " 1626: 'role_1',\n",
      " 1627: 'role_0',\n",
      " 1628: 'role_3',\n",
      " 1629: 'role_1',\n",
      " 1630: 'role_1',\n",
      " 1631: 'role_1',\n",
      " 1632: 'role_1',\n",
      " 1633: 'role_2',\n",
      " 1634: 'role_3',\n",
      " 1635: 'role_0',\n",
      " 1636: 'role_2',\n",
      " 1637: 'role_3',\n",
      " 1638: 'role_1',\n",
      " 1639: 'role_2',\n",
      " 1640: 'role_0',\n",
      " 1641: 'role_3',\n",
      " 1642: 'role_6',\n",
      " 1643: 'role_7',\n",
      " 1644: 'role_6',\n",
      " 1645: 'role_2',\n",
      " 1646: 'role_0',\n",
      " 1647: 'role_2',\n",
      " 1648: 'role_1',\n",
      " 1649: 'role_2',\n",
      " 1650: 'role_6',\n",
      " 1651: 'role_6',\n",
      " 1652: 'role_3',\n",
      " 1653: 'role_4',\n",
      " 1654: 'role_2',\n",
      " 1655: 'role_3',\n",
      " 1656: 'role_5',\n",
      " 1657: 'role_3',\n",
      " 1658: 'role_0',\n",
      " 1659: 'role_2',\n",
      " 1660: 'role_7',\n",
      " 1661: 'role_4',\n",
      " 1662: 'role_6',\n",
      " 1663: 'role_7',\n",
      " 1664: 'role_4',\n",
      " 1665: 'role_4',\n",
      " 1666: 'role_7',\n",
      " 1667: 'role_3',\n",
      " 1668: 'role_1',\n",
      " 1669: 'role_6',\n",
      " 1670: 'role_7',\n",
      " 1671: 'role_2',\n",
      " 1672: 'role_1',\n",
      " 1673: 'role_0',\n",
      " 1674: 'role_1',\n",
      " 1675: 'role_0',\n",
      " 1676: 'role_0',\n",
      " 1677: 'role_0',\n",
      " 1678: 'role_1',\n",
      " 1679: 'role_4',\n",
      " 1680: 'role_2',\n",
      " 1681: 'role_0',\n",
      " 1682: 'role_1',\n",
      " 1683: 'role_1',\n",
      " 1684: 'role_3',\n",
      " 1685: 'role_1',\n",
      " 1686: 'role_2',\n",
      " 1687: 'role_0',\n",
      " 1688: 'role_2',\n",
      " 1689: 'role_6',\n",
      " 1690: 'role_1',\n",
      " 1691: 'role_4',\n",
      " 1692: 'role_1',\n",
      " 1693: 'role_4',\n",
      " 1694: 'role_3',\n",
      " 1695: 'role_3',\n",
      " 1696: 'role_0',\n",
      " 1697: 'role_1',\n",
      " 1698: 'role_1',\n",
      " 1699: 'role_6',\n",
      " 1700: 'role_2',\n",
      " 1701: 'role_2',\n",
      " 1702: 'role_0',\n",
      " 1703: 'role_1',\n",
      " 1704: 'role_1',\n",
      " 1705: 'role_2',\n",
      " 1706: 'role_0',\n",
      " 1707: 'role_6',\n",
      " 1708: 'role_2',\n",
      " 1709: 'role_7',\n",
      " 1710: 'role_0',\n",
      " 1711: 'role_6',\n",
      " 1712: 'role_2',\n",
      " 1713: 'role_2',\n",
      " 1714: 'role_2',\n",
      " 1715: 'role_7',\n",
      " 1716: 'role_0',\n",
      " 1717: 'role_6',\n",
      " 1718: 'role_2',\n",
      " 1719: 'role_7',\n",
      " 1720: 'role_2',\n",
      " 1721: 'role_0',\n",
      " 1722: 'role_4',\n",
      " 1723: 'role_1',\n",
      " 1724: 'role_7',\n",
      " 1725: 'role_1',\n",
      " 1726: 'role_3',\n",
      " 1727: 'role_5',\n",
      " 1728: 'role_3',\n",
      " 1729: 'role_2',\n",
      " 1730: 'role_2',\n",
      " 1731: 'role_2',\n",
      " 1732: 'role_7',\n",
      " 1733: 'role_2',\n",
      " 1734: 'role_3',\n",
      " 1735: 'role_3',\n",
      " 1736: 'role_5',\n",
      " 1737: 'role_1',\n",
      " 1738: 'role_6',\n",
      " 1739: 'role_1',\n",
      " 1740: 'role_3',\n",
      " 1741: 'role_5',\n",
      " 1742: 'role_7',\n",
      " 1743: 'role_2',\n",
      " 1744: 'role_1',\n",
      " 1745: 'role_5',\n",
      " 1746: 'role_1',\n",
      " 1747: 'role_3',\n",
      " 1748: 'role_1',\n",
      " 1749: 'role_3',\n",
      " 1750: 'role_2',\n",
      " 1751: 'role_2',\n",
      " 1752: 'role_2',\n",
      " 1753: 'role_1',\n",
      " 1754: 'role_2',\n",
      " 1755: 'role_7',\n",
      " 1756: 'role_0',\n",
      " 1757: 'role_3',\n",
      " 1758: 'role_1',\n",
      " 1759: 'role_4',\n",
      " 1760: 'role_1',\n",
      " 1761: 'role_6',\n",
      " 1762: 'role_4',\n",
      " 1763: 'role_2',\n",
      " 1764: 'role_6',\n",
      " 1765: 'role_4',\n",
      " 1766: 'role_5',\n",
      " 1767: 'role_4',\n",
      " 1768: 'role_2',\n",
      " 1769: 'role_6',\n",
      " 1770: 'role_0',\n",
      " 1771: 'role_2',\n",
      " 1772: 'role_7',\n",
      " 1773: 'role_0',\n",
      " 1774: 'role_0',\n",
      " 1775: 'role_2',\n",
      " 1776: 'role_1',\n",
      " 1777: 'role_2',\n",
      " 1778: 'role_3',\n",
      " 1779: 'role_3',\n",
      " 1780: 'role_2',\n",
      " 1781: 'role_2',\n",
      " 1782: 'role_2',\n",
      " 1783: 'role_3',\n",
      " 1784: 'role_2',\n",
      " 1785: 'role_6',\n",
      " 1786: 'role_1',\n",
      " 1787: 'role_7',\n",
      " 1788: 'role_2',\n",
      " 1789: 'role_2',\n",
      " 1790: 'role_1',\n",
      " 1791: 'role_2',\n",
      " 1792: 'role_2',\n",
      " 1793: 'role_3',\n",
      " 1794: 'role_5',\n",
      " 1795: 'role_2',\n",
      " 1796: 'role_6',\n",
      " 1797: 'role_2',\n",
      " 1798: 'role_4',\n",
      " 1799: 'role_2',\n",
      " 1800: 'role_3',\n",
      " 1801: 'role_6',\n",
      " 1802: 'role_2',\n",
      " 1803: 'role_2',\n",
      " 1804: 'role_4',\n",
      " 1805: 'role_2',\n",
      " 1806: 'role_0',\n",
      " 1807: 'role_1',\n",
      " 1808: 'role_5',\n",
      " 1809: 'role_0',\n",
      " 1810: 'role_2',\n",
      " 1811: 'role_4',\n",
      " 1812: 'role_7',\n",
      " 1813: 'role_4',\n",
      " 1814: 'role_6',\n",
      " 1815: 'role_0',\n",
      " 1816: 'role_1',\n",
      " 1817: 'role_2',\n",
      " 1818: 'role_6',\n",
      " 1819: 'role_2',\n",
      " 1820: 'role_3',\n",
      " 1821: 'role_3',\n",
      " 1822: 'role_3',\n",
      " 1823: 'role_6',\n",
      " 1824: 'role_2',\n",
      " 1825: 'role_1',\n",
      " 1826: 'role_6',\n",
      " 1827: 'role_4',\n",
      " 1828: 'role_6',\n",
      " 1829: 'role_1',\n",
      " 1830: 'role_2',\n",
      " 1831: 'role_2',\n",
      " 1832: 'role_0',\n",
      " 1833: 'role_1',\n",
      " 1834: 'role_2',\n",
      " 1835: 'role_1',\n",
      " 1836: 'role_1',\n",
      " 1837: 'role_0',\n",
      " 1838: 'role_4',\n",
      " 1839: 'role_7',\n",
      " 1840: 'role_1',\n",
      " 1841: 'role_5',\n",
      " 1842: 'role_2',\n",
      " 1843: 'role_2',\n",
      " 1844: 'role_0',\n",
      " 1845: 'role_3',\n",
      " 1846: 'role_5',\n",
      " 1847: 'role_4',\n",
      " 1848: 'role_2',\n",
      " 1849: 'role_4',\n",
      " 1850: 'role_7',\n",
      " 1851: 'role_3',\n",
      " 1852: 'role_4',\n",
      " 1853: 'role_6',\n",
      " 1854: 'role_2',\n",
      " 1855: 'role_2',\n",
      " 1856: 'role_2',\n",
      " 1857: 'role_7',\n",
      " 1858: 'role_2',\n",
      " 1859: 'role_7',\n",
      " 1860: 'role_0',\n",
      " 1861: 'role_2',\n",
      " 1862: 'role_7',\n",
      " 1863: 'role_1',\n",
      " 1864: 'role_1',\n",
      " 1865: 'role_1',\n",
      " 1866: 'role_1',\n",
      " 1867: 'role_1',\n",
      " 1868: 'role_2',\n",
      " 1869: 'role_1',\n",
      " 1870: 'role_2',\n",
      " 1871: 'role_3',\n",
      " 1872: 'role_6',\n",
      " 1873: 'role_4',\n",
      " 1874: 'role_0',\n",
      " 1875: 'role_3',\n",
      " 1876: 'role_2',\n",
      " 1877: 'role_2',\n",
      " 1878: 'role_0',\n",
      " 1879: 'role_5',\n",
      " 1880: 'role_2',\n",
      " 1881: 'role_1',\n",
      " 1882: 'role_1',\n",
      " 1883: 'role_3',\n",
      " 1884: 'role_2',\n",
      " 1885: 'role_7',\n",
      " 1886: 'role_1',\n",
      " 1887: 'role_4',\n",
      " 1888: 'role_0',\n",
      " 1889: 'role_6',\n",
      " 1890: 'role_2',\n",
      " 1891: 'role_5',\n",
      " 1892: 'role_1',\n",
      " 1893: 'role_5',\n",
      " 1894: 'role_2',\n",
      " 1895: 'role_2',\n",
      " 1896: 'role_2',\n",
      " 1897: 'role_0',\n",
      " 1898: 'role_1',\n",
      " 1899: 'role_6',\n",
      " 1900: 'role_1',\n",
      " 1901: 'role_4',\n",
      " 1902: 'role_6',\n",
      " 1903: 'role_3',\n",
      " 1904: 'role_0',\n",
      " 1905: 'role_0',\n",
      " 1906: 'role_2',\n",
      " 1907: 'role_2',\n",
      " 1908: 'role_1',\n",
      " 1909: 'role_5',\n",
      " 1910: 'role_7',\n",
      " 1911: 'role_2',\n",
      " 1912: 'role_4',\n",
      " 1913: 'role_2',\n",
      " 1914: 'role_1',\n",
      " 1915: 'role_6',\n",
      " 1916: 'role_6',\n",
      " 1917: 'role_0',\n",
      " 1918: 'role_0',\n",
      " 1919: 'role_2',\n",
      " 1920: 'role_4',\n",
      " 1921: 'role_6',\n",
      " 1922: 'role_2',\n",
      " 1923: 'role_0',\n",
      " 1924: 'role_4',\n",
      " 1925: 'role_3',\n",
      " 1926: 'role_1',\n",
      " 1927: 'role_2',\n",
      " 1928: 'role_5',\n",
      " 1929: 'role_1',\n",
      " 1930: 'role_1',\n",
      " 1931: 'role_5',\n",
      " 1932: 'role_2',\n",
      " 1933: 'role_5',\n",
      " 1934: 'role_2',\n",
      " 1935: 'role_5',\n",
      " 1936: 'role_3',\n",
      " 1937: 'role_3',\n",
      " 1938: 'role_1',\n",
      " 1939: 'role_2',\n",
      " 1940: 'role_3',\n",
      " 1941: 'role_6',\n",
      " 1942: 'role_2',\n",
      " 1943: 'role_1',\n",
      " 1944: 'role_2',\n",
      " 1945: 'role_1',\n",
      " 1946: 'role_3',\n",
      " 1947: 'role_3',\n",
      " 1948: 'role_1',\n",
      " 1949: 'role_3',\n",
      " 1950: 'role_0',\n",
      " 1951: 'role_6',\n",
      " 1952: 'role_6',\n",
      " 1953: 'role_1',\n",
      " 1954: 'role_2',\n",
      " 1955: 'role_0',\n",
      " 1956: 'role_3',\n",
      " 1957: 'role_3',\n",
      " 1958: 'role_5',\n",
      " 1959: 'role_3',\n",
      " 1960: 'role_3',\n",
      " 1961: 'role_3',\n",
      " 1962: 'role_6',\n",
      " 1963: 'role_2',\n",
      " 1964: 'role_2',\n",
      " 1965: 'role_2',\n",
      " 1966: 'role_1',\n",
      " 1967: 'role_2',\n",
      " 1968: 'role_4',\n",
      " 1969: 'role_0',\n",
      " 1970: 'role_4',\n",
      " 1971: 'role_4',\n",
      " 1972: 'role_1',\n",
      " 1973: 'role_5',\n",
      " 1974: 'role_5',\n",
      " 1975: 'role_4',\n",
      " 1976: 'role_3',\n",
      " 1977: 'role_2',\n",
      " 1978: 'role_0',\n",
      " 1979: 'role_2',\n",
      " 1980: 'role_7',\n",
      " 1981: 'role_6',\n",
      " 1982: 'role_7',\n",
      " 1983: 'role_2',\n",
      " 1984: 'role_3',\n",
      " 1985: 'role_0',\n",
      " 1986: 'role_4',\n",
      " 1987: 'role_0',\n",
      " 1988: 'role_1',\n",
      " 1989: 'role_2',\n",
      " 1990: 'role_1',\n",
      " 1991: 'role_2',\n",
      " 1992: 'role_1',\n",
      " 1993: 'role_4',\n",
      " 1994: 'role_3',\n",
      " 1995: 'role_2',\n",
      " 1996: 'role_0',\n",
      " 1997: 'role_1',\n",
      " 1998: 'role_1',\n",
      " 1999: 'role_5',\n",
      " 2000: 'role_0',\n",
      " 2001: 'role_3',\n",
      " 2002: 'role_7',\n",
      " 2003: 'role_1',\n",
      " 2004: 'role_2',\n",
      " 2005: 'role_5',\n",
      " 2006: 'role_2',\n",
      " 2007: 'role_3',\n",
      " 2008: 'role_1',\n",
      " 2009: 'role_2',\n",
      " 2010: 'role_2',\n",
      " 2011: 'role_7',\n",
      " 2012: 'role_7',\n",
      " 2013: 'role_0',\n",
      " 2014: 'role_2',\n",
      " 2015: 'role_6',\n",
      " 2016: 'role_1',\n",
      " 2017: 'role_4',\n",
      " 2018: 'role_4',\n",
      " 2019: 'role_7',\n",
      " 2020: 'role_2',\n",
      " 2021: 'role_4',\n",
      " 2022: 'role_0',\n",
      " 2023: 'role_2',\n",
      " 2024: 'role_1',\n",
      " 2025: 'role_4',\n",
      " 2026: 'role_2',\n",
      " 2027: 'role_3',\n",
      " 2028: 'role_6',\n",
      " 2029: 'role_1',\n",
      " 2030: 'role_1',\n",
      " 2031: 'role_1',\n",
      " 2032: 'role_2',\n",
      " 2033: 'role_1',\n",
      " 2034: 'role_0',\n",
      " 2035: 'role_1',\n",
      " 2036: 'role_5',\n",
      " 2037: 'role_2',\n",
      " 2038: 'role_0',\n",
      " 2039: 'role_3',\n",
      " 2040: 'role_6',\n",
      " 2041: 'role_1',\n",
      " 2042: 'role_2',\n",
      " 2043: 'role_1',\n",
      " 2044: 'role_3',\n",
      " 2045: 'role_3',\n",
      " 2046: 'role_1',\n",
      " 2047: 'role_1',\n",
      " 2048: 'role_7',\n",
      " 2049: 'role_7',\n",
      " 2050: 'role_1',\n",
      " 2051: 'role_3',\n",
      " 2052: 'role_6',\n",
      " 2053: 'role_2',\n",
      " 2054: 'role_3',\n",
      " 2055: 'role_6',\n",
      " 2056: 'role_3',\n",
      " 2057: 'role_2',\n",
      " 2058: 'role_5',\n",
      " 2059: 'role_7',\n",
      " 2060: 'role_0',\n",
      " 2061: 'role_3',\n",
      " 2062: 'role_2',\n",
      " 2063: 'role_2',\n",
      " 2064: 'role_1',\n",
      " 2065: 'role_2',\n",
      " 2066: 'role_2',\n",
      " 2067: 'role_6',\n",
      " 2068: 'role_5',\n",
      " 2069: 'role_1',\n",
      " 2070: 'role_2',\n",
      " 2071: 'role_4',\n",
      " 2072: 'role_1',\n",
      " 2073: 'role_6',\n",
      " 2074: 'role_1',\n",
      " 2075: 'role_3',\n",
      " 2076: 'role_1',\n",
      " 2077: 'role_2',\n",
      " 2078: 'role_4',\n",
      " 2079: 'role_1',\n",
      " 2080: 'role_2',\n",
      " 2081: 'role_7',\n",
      " 2082: 'role_1',\n",
      " 2083: 'role_1',\n",
      " 2084: 'role_2',\n",
      " 2085: 'role_4',\n",
      " 2086: 'role_2',\n",
      " 2087: 'role_4',\n",
      " 2088: 'role_0',\n",
      " 2089: 'role_6',\n",
      " 2090: 'role_2',\n",
      " 2091: 'role_1',\n",
      " 2092: 'role_4',\n",
      " 2093: 'role_7',\n",
      " 2094: 'role_4',\n",
      " 2095: 'role_1',\n",
      " 2096: 'role_5',\n",
      " 2097: 'role_0',\n",
      " 2098: 'role_0',\n",
      " 2099: 'role_4',\n",
      " 2100: 'role_2',\n",
      " 2101: 'role_2',\n",
      " 2102: 'role_1',\n",
      " 2103: 'role_3',\n",
      " 2104: 'role_3',\n",
      " 2105: 'role_1',\n",
      " 2106: 'role_3',\n",
      " 2107: 'role_4',\n",
      " 2108: 'role_7',\n",
      " 2109: 'role_7',\n",
      " 2110: 'role_2',\n",
      " 2111: 'role_1',\n",
      " 2112: 'role_0',\n",
      " 2113: 'role_1',\n",
      " 2114: 'role_2',\n",
      " 2115: 'role_2',\n",
      " 2116: 'role_1',\n",
      " 2117: 'role_2',\n",
      " 2118: 'role_2',\n",
      " 2119: 'role_1',\n",
      " 2120: 'role_1',\n",
      " 2121: 'role_2',\n",
      " 2122: 'role_1',\n",
      " 2123: 'role_2',\n",
      " 2124: 'role_3',\n",
      " 2125: 'role_0',\n",
      " 2126: 'role_2',\n",
      " 2127: 'role_3',\n",
      " 2128: 'role_3',\n",
      " 2129: 'role_1',\n",
      " 2130: 'role_1',\n",
      " 2131: 'role_1',\n",
      " 2132: 'role_2',\n",
      " 2133: 'role_3',\n",
      " 2134: 'role_1',\n",
      " 2135: 'role_2',\n",
      " 2136: 'role_0',\n",
      " 2137: 'role_2',\n",
      " 2138: 'role_6',\n",
      " 2139: 'role_2',\n",
      " 2140: 'role_3',\n",
      " 2141: 'role_2',\n",
      " 2142: 'role_2',\n",
      " 2143: 'role_2',\n",
      " 2144: 'role_0',\n",
      " 2145: 'role_5',\n",
      " 2146: 'role_2',\n",
      " 2147: 'role_0',\n",
      " 2148: 'role_7',\n",
      " 2149: 'role_1',\n",
      " 2150: 'role_7',\n",
      " 2151: 'role_2',\n",
      " 2152: 'role_2',\n",
      " 2153: 'role_1',\n",
      " 2154: 'role_0',\n",
      " 2155: 'role_5',\n",
      " 2156: 'role_3',\n",
      " 2157: 'role_1',\n",
      " 2158: 'role_2',\n",
      " 2159: 'role_2',\n",
      " 2160: 'role_1',\n",
      " 2161: 'role_2',\n",
      " 2162: 'role_1',\n",
      " 2163: 'role_2',\n",
      " 2164: 'role_1',\n",
      " 2165: 'role_4',\n",
      " 2166: 'role_1',\n",
      " 2167: 'role_3',\n",
      " 2168: 'role_0',\n",
      " 2169: 'role_1',\n",
      " 2170: 'role_7',\n",
      " 2171: 'role_0',\n",
      " 2172: 'role_6',\n",
      " 2173: 'role_2',\n",
      " 2174: 'role_0',\n",
      " 2175: 'role_4',\n",
      " 2176: 'role_2',\n",
      " 2177: 'role_2',\n",
      " 2178: 'role_2',\n",
      " 2179: 'role_2',\n",
      " 2180: 'role_6',\n",
      " 2181: 'role_1',\n",
      " 2182: 'role_5',\n",
      " 2183: 'role_1',\n",
      " 2184: 'role_2',\n",
      " 2185: 'role_0',\n",
      " 2186: 'role_3',\n",
      " 2187: 'role_1',\n",
      " 2188: 'role_2',\n",
      " 2189: 'role_4',\n",
      " 2190: 'role_2',\n",
      " 2191: 'role_0',\n",
      " 2192: 'role_1',\n",
      " 2193: 'role_2',\n",
      " 2194: 'role_3',\n",
      " 2195: 'role_0',\n",
      " 2196: 'role_4',\n",
      " 2197: 'role_1',\n",
      " 2198: 'role_2',\n",
      " 2199: 'role_2',\n",
      " 2200: 'role_0',\n",
      " 2201: 'role_1',\n",
      " 2202: 'role_1',\n",
      " 2203: 'role_5',\n",
      " 2204: 'role_3',\n",
      " 2205: 'role_2',\n",
      " 2206: 'role_2',\n",
      " 2207: 'role_3',\n",
      " 2208: 'role_2',\n",
      " 2209: 'role_2',\n",
      " 2210: 'role_1',\n",
      " 2211: 'role_1',\n",
      " 2212: 'role_0',\n",
      " 2213: 'role_5',\n",
      " 2214: 'role_3',\n",
      " 2215: 'role_1',\n",
      " 2216: 'role_1',\n",
      " 2217: 'role_2',\n",
      " 2218: 'role_7',\n",
      " 2219: 'role_2',\n",
      " 2220: 'role_7',\n",
      " 2221: 'role_3',\n",
      " 2222: 'role_0',\n",
      " 2223: 'role_3',\n",
      " 2224: 'role_5',\n",
      " 2225: 'role_0',\n",
      " 2226: 'role_5',\n",
      " 2227: 'role_2',\n",
      " 2228: 'role_2',\n",
      " 2229: 'role_3',\n",
      " 2230: 'role_3',\n",
      " 2231: 'role_1',\n",
      " 2232: 'role_7',\n",
      " 2233: 'role_7',\n",
      " 2234: 'role_7',\n",
      " 2235: 'role_5',\n",
      " 2236: 'role_3',\n",
      " 2237: 'role_2',\n",
      " 2238: 'role_0',\n",
      " 2239: 'role_2',\n",
      " 2240: 'role_1',\n",
      " 2241: 'role_7',\n",
      " 2242: 'role_1',\n",
      " 2243: 'role_6',\n",
      " 2244: 'role_2',\n",
      " 2245: 'role_3',\n",
      " 2246: 'role_5',\n",
      " 2247: 'role_7',\n",
      " 2248: 'role_1',\n",
      " 2249: 'role_4',\n",
      " 2250: 'role_1',\n",
      " 2251: 'role_2',\n",
      " 2252: 'role_2',\n",
      " 2253: 'role_0',\n",
      " 2254: 'role_7',\n",
      " 2255: 'role_6',\n",
      " 2256: 'role_2',\n",
      " 2257: 'role_2',\n",
      " 2258: 'role_7',\n",
      " 2259: 'role_3',\n",
      " 2260: 'role_2',\n",
      " 2261: 'role_4',\n",
      " 2262: 'role_4',\n",
      " 2263: 'role_7',\n",
      " 2264: 'role_2',\n",
      " 2265: 'role_3',\n",
      " 2266: 'role_3',\n",
      " 2267: 'role_3',\n",
      " 2268: 'role_2',\n",
      " 2269: 'role_6',\n",
      " 2270: 'role_1',\n",
      " 2271: 'role_7',\n",
      " 2272: 'role_6',\n",
      " 2273: 'role_0',\n",
      " 2274: 'role_3',\n",
      " 2275: 'role_4',\n",
      " 2276: 'role_2',\n",
      " 2277: 'role_1',\n",
      " 2278: 'role_1',\n",
      " 2279: 'role_1',\n",
      " 2280: 'role_0',\n",
      " 2281: 'role_1',\n",
      " 2282: 'role_7',\n",
      " 2283: 'role_1',\n",
      " 2284: 'role_7',\n",
      " 2285: 'role_3',\n",
      " 2286: 'role_1',\n",
      " 2287: 'role_5',\n",
      " 2288: 'role_2',\n",
      " 2289: 'role_3',\n",
      " 2290: 'role_5',\n",
      " 2291: 'role_6',\n",
      " 2292: 'role_3',\n",
      " 2293: 'role_7',\n",
      " 2294: 'role_2',\n",
      " 2295: 'role_4',\n",
      " 2296: 'role_6',\n",
      " 2297: 'role_2',\n",
      " 2298: 'role_6',\n",
      " 2299: 'role_6',\n",
      " 2300: 'role_0',\n",
      " 2301: 'role_1',\n",
      " 2302: 'role_4',\n",
      " 2303: 'role_1',\n",
      " 2304: 'role_7',\n",
      " 2305: 'role_5',\n",
      " 2306: 'role_5',\n",
      " 2307: 'role_6',\n",
      " 2308: 'role_3',\n",
      " 2309: 'role_4',\n",
      " 2310: 'role_4',\n",
      " 2311: 'role_2',\n",
      " 2312: 'role_4',\n",
      " 2313: 'role_5',\n",
      " 2314: 'role_4',\n",
      " 2315: 'role_4',\n",
      " 2316: 'role_2',\n",
      " 2317: 'role_7',\n",
      " 2318: 'role_4',\n",
      " 2319: 'role_1',\n",
      " 2320: 'role_6',\n",
      " 2321: 'role_2',\n",
      " 2322: 'role_1',\n",
      " 2323: 'role_5',\n",
      " 2324: 'role_0',\n",
      " 2325: 'role_2',\n",
      " 2326: 'role_6',\n",
      " 2327: 'role_2',\n",
      " 2328: 'role_1',\n",
      " 2329: 'role_1',\n",
      " 2330: 'role_3',\n",
      " 2331: 'role_4',\n",
      " 2332: 'role_2',\n",
      " 2333: 'role_4',\n",
      " 2334: 'role_1',\n",
      " 2335: 'role_1',\n",
      " 2336: 'role_2',\n",
      " 2337: 'role_7',\n",
      " 2338: 'role_6',\n",
      " 2339: 'role_2',\n",
      " 2340: 'role_2',\n",
      " 2341: 'role_4',\n",
      " 2342: 'role_0',\n",
      " 2343: 'role_5',\n",
      " 2344: 'role_7',\n",
      " 2345: 'role_3',\n",
      " 2346: 'role_0',\n",
      " 2347: 'role_3',\n",
      " 2348: 'role_0',\n",
      " 2349: 'role_3',\n",
      " 2350: 'role_5',\n",
      " 2351: 'role_1',\n",
      " 2352: 'role_2',\n",
      " 2353: 'role_7',\n",
      " 2354: 'role_2',\n",
      " 2355: 'role_4',\n",
      " 2356: 'role_4',\n",
      " 2357: 'role_1',\n",
      " 2358: 'role_4',\n",
      " 2359: 'role_0',\n",
      " 2360: 'role_0',\n",
      " 2361: 'role_4',\n",
      " 2362: 'role_1',\n",
      " 2363: 'role_7',\n",
      " 2364: 'role_2',\n",
      " 2365: 'role_3',\n",
      " 2366: 'role_1',\n",
      " 2367: 'role_1',\n",
      " 2368: 'role_5',\n",
      " 2369: 'role_4',\n",
      " 2370: 'role_0',\n",
      " 2371: 'role_5',\n",
      " 2372: 'role_1',\n",
      " 2373: 'role_1',\n",
      " 2374: 'role_7',\n",
      " 2375: 'role_0',\n",
      " 2376: 'role_2',\n",
      " 2377: 'role_7',\n",
      " 2378: 'role_1',\n",
      " 2379: 'role_1',\n",
      " 2380: 'role_2',\n",
      " 2381: 'role_3',\n",
      " 2382: 'role_6',\n",
      " 2383: 'role_7',\n",
      " 2384: 'role_1',\n",
      " 2385: 'role_3',\n",
      " 2386: 'role_2',\n",
      " 2387: 'role_2',\n",
      " 2388: 'role_2',\n",
      " 2389: 'role_1',\n",
      " 2390: 'role_3',\n",
      " 2391: 'role_5',\n",
      " 2392: 'role_2',\n",
      " 2393: 'role_1',\n",
      " 2394: 'role_3',\n",
      " 2395: 'role_0',\n",
      " 2396: 'role_5',\n",
      " 2397: 'role_5',\n",
      " 2398: 'role_2',\n",
      " 2399: 'role_2',\n",
      " 2400: 'role_2',\n",
      " 2401: 'role_2',\n",
      " 2402: 'role_0',\n",
      " 2403: 'role_1',\n",
      " 2404: 'role_5',\n",
      " 2405: 'role_1',\n",
      " 2406: 'role_1',\n",
      " 2407: 'role_6',\n",
      " 2408: 'role_4',\n",
      " 2409: 'role_5',\n",
      " 2410: 'role_1',\n",
      " 2411: 'role_2',\n",
      " 2412: 'role_2',\n",
      " 2413: 'role_3',\n",
      " 2414: 'role_1',\n",
      " 2415: 'role_1',\n",
      " 2416: 'role_6',\n",
      " 2417: 'role_1',\n",
      " 2418: 'role_2',\n",
      " 2419: 'role_2',\n",
      " 2420: 'role_4',\n",
      " 2421: 'role_3',\n",
      " 2422: 'role_2',\n",
      " 2423: 'role_0',\n",
      " 2424: 'role_1',\n",
      " 2425: 'role_1',\n",
      " 2426: 'role_1',\n",
      " 2427: 'role_6',\n",
      " 2428: 'role_2',\n",
      " 2429: 'role_1',\n",
      " 2430: 'role_1',\n",
      " 2431: 'role_6',\n",
      " 2432: 'role_2',\n",
      " 2433: 'role_3',\n",
      " 2434: 'role_2',\n",
      " 2435: 'role_2',\n",
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      " 2437: 'role_1',\n",
      " 2438: 'role_3',\n",
      " 2439: 'role_2',\n",
      " 2440: 'role_2',\n",
      " 2441: 'role_4',\n",
      " 2442: 'role_0',\n",
      " 2443: 'role_2',\n",
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      " 2445: 'role_4',\n",
      " 2446: 'role_2',\n",
      " 2447: 'role_1',\n",
      " 2448: 'role_3',\n",
      " 2449: 'role_2',\n",
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      " 2453: 'role_3',\n",
      " 2454: 'role_1',\n",
      " 2455: 'role_3',\n",
      " 2456: 'role_3',\n",
      " 2457: 'role_3',\n",
      " 2458: 'role_3',\n",
      " 2459: 'role_4',\n",
      " 2460: 'role_4',\n",
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      " 2462: 'role_3',\n",
      " 2463: 'role_6',\n",
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      " 2465: 'role_1',\n",
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      " 2467: 'role_2',\n",
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      " 2475: 'role_3',\n",
      " 2476: 'role_4',\n",
      " 2477: 'role_7',\n",
      " 2478: 'role_4',\n",
      " 2479: 'role_1',\n",
      " 2480: 'role_4',\n",
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      " 2483: 'role_4',\n",
      " 2484: 'role_0',\n",
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      " 2499: 'role_4',\n",
      " 2500: 'role_3',\n",
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      " 2533: 'role_2',\n",
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      " 2535: 'role_3',\n",
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      " 2537: 'role_3',\n",
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      " 2555: 'role_2',\n",
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      " 2559: 'role_7',\n",
      " 2560: 'role_3',\n",
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      " 2562: 'role_2',\n",
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      " 2565: 'role_4',\n",
      " 2566: 'role_2',\n",
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      " 2569: 'role_4',\n",
      " 2570: 'role_1',\n",
      " 2571: 'role_4',\n",
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      " 2573: 'role_0',\n",
      " 2574: 'role_3',\n",
      " 2575: 'role_2',\n",
      " 2576: 'role_0',\n",
      " 2577: 'role_3',\n",
      " 2578: 'role_5',\n",
      " 2579: 'role_1',\n",
      " 2580: 'role_6',\n",
      " 2581: 'role_2',\n",
      " 2582: 'role_2',\n",
      " 2583: 'role_3',\n",
      " 2584: 'role_2',\n",
      " 2585: 'role_3',\n",
      " 2586: 'role_4',\n",
      " 2587: 'role_5',\n",
      " 2588: 'role_1',\n",
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      " 2590: 'role_2',\n",
      " 2591: 'role_1',\n",
      " 2592: 'role_2',\n",
      " 2593: 'role_1',\n",
      " 2594: 'role_7',\n",
      " 2595: 'role_5',\n",
      " 2596: 'role_1',\n",
      " 2597: 'role_1',\n",
      " 2598: 'role_5',\n",
      " 2599: 'role_0',\n",
      " 2600: 'role_2',\n",
      " 2601: 'role_0',\n",
      " 2602: 'role_4',\n",
      " 2603: 'role_4',\n",
      " 2604: 'role_2',\n",
      " 2605: 'role_5',\n",
      " 2606: 'role_4',\n",
      " 2607: 'role_5',\n",
      " 2608: 'role_2',\n",
      " 2609: 'role_0',\n",
      " 2610: 'role_5',\n",
      " 2611: 'role_3',\n",
      " 2612: 'role_2',\n",
      " 2613: 'role_1',\n",
      " 2614: 'role_0',\n",
      " 2615: 'role_1',\n",
      " 2616: 'role_2',\n",
      " 2617: 'role_4',\n",
      " 2618: 'role_5',\n",
      " 2619: 'role_5',\n",
      " 2620: 'role_6',\n",
      " 2621: 'role_2',\n",
      " 2622: 'role_3',\n",
      " 2623: 'role_3',\n",
      " 2624: 'role_3',\n",
      " 2625: 'role_7',\n",
      " 2626: 'role_2',\n",
      " 2627: 'role_1',\n",
      " 2628: 'role_3',\n",
      " 2629: 'role_5',\n",
      " 2630: 'role_3',\n",
      " 2631: 'role_4',\n",
      " 2632: 'role_4',\n",
      " 2633: 'role_1',\n",
      " 2634: 'role_4',\n",
      " 2635: 'role_7',\n",
      " 2636: 'role_2',\n",
      " 2637: 'role_6',\n",
      " 2638: 'role_7',\n",
      " 2639: 'role_1',\n",
      " 2640: 'role_7',\n",
      " 2641: 'role_0',\n",
      " 2642: 'role_4',\n",
      " 2643: 'role_1',\n",
      " 2644: 'role_1',\n",
      " 2645: 'role_7',\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      " 2646: 'role_0',\n",
      " 2647: 'role_1',\n",
      " 2648: 'role_2',\n",
      " 2649: 'role_2',\n",
      " 2650: 'role_3',\n",
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      " 3740: 'role_4',\n",
      " 3741: 'role_2',\n",
      " 3742: 'role_2',\n",
      " 3743: 'role_2',\n",
      " 3744: 'role_3',\n",
      " 3745: 'role_2',\n",
      " 3746: 'role_6',\n",
      " 3747: 'role_2',\n",
      " 3748: 'role_1',\n",
      " 3749: 'role_3',\n",
      " 3750: 'role_1',\n",
      " 3751: 'role_3',\n",
      " 3752: 'role_3',\n",
      " 3753: 'role_1',\n",
      " 3754: 'role_2',\n",
      " 3755: 'role_7',\n",
      " 3756: 'role_3',\n",
      " 3757: 'role_1',\n",
      " 3758: 'role_5',\n",
      " 3759: 'role_0',\n",
      " 3760: 'role_4',\n",
      " 3761: 'role_1',\n",
      " 3762: 'role_2',\n",
      " 3763: 'role_2',\n",
      " 3764: 'role_0',\n",
      " 3765: 'role_1',\n",
      " 3766: 'role_3',\n",
      " 3767: 'role_7',\n",
      " 3768: 'role_6',\n",
      " 3769: 'role_6',\n",
      " 3770: 'role_2',\n",
      " 3771: 'role_4',\n",
      " 3772: 'role_2',\n",
      " 3773: 'role_1',\n",
      " 3774: 'role_6',\n",
      " 3775: 'role_5',\n",
      " 3776: 'role_2',\n",
      " 3777: 'role_4',\n",
      " 3778: 'role_5',\n",
      " 3779: 'role_2',\n",
      " 3780: 'role_5',\n",
      " 3781: 'role_1',\n",
      " 3782: 'role_1',\n",
      " 3783: 'role_3',\n",
      " 3784: 'role_1',\n",
      " 3785: 'role_3',\n",
      " 3786: 'role_1',\n",
      " 3787: 'role_3',\n",
      " 3788: 'role_2',\n",
      " 3789: 'role_4',\n",
      " 3790: 'role_6',\n",
      " 3791: 'role_1',\n",
      " 3792: 'role_2',\n",
      " 3793: 'role_3',\n",
      " 3794: 'role_4',\n",
      " 3795: 'role_5',\n",
      " 3796: 'role_7',\n",
      " 3797: 'role_4',\n",
      " 3798: 'role_2',\n",
      " 3799: 'role_2',\n",
      " 3800: 'role_3',\n",
      " 3801: 'role_3',\n",
      " 3802: 'role_2',\n",
      " 3803: 'role_1',\n",
      " 3804: 'role_2',\n",
      " 3805: 'role_7',\n",
      " 3806: 'role_7',\n",
      " 3807: 'role_1',\n",
      " 3808: 'role_6',\n",
      " 3809: 'role_4',\n",
      " 3810: 'role_7',\n",
      " 3811: 'role_2',\n",
      " 3812: 'role_6',\n",
      " 3813: 'role_0',\n",
      " 3814: 'role_3',\n",
      " 3815: 'role_2',\n",
      " 3816: 'role_1',\n",
      " 3817: 'role_0',\n",
      " 3818: 'role_3',\n",
      " 3819: 'role_3',\n",
      " 3820: 'role_4',\n",
      " 3821: 'role_3',\n",
      " 3822: 'role_3',\n",
      " 3823: 'role_2',\n",
      " 3824: 'role_1',\n",
      " 3825: 'role_2',\n",
      " 3826: 'role_2',\n",
      " 3827: 'role_1',\n",
      " 3828: 'role_1',\n",
      " 3829: 'role_5',\n",
      " 3830: 'role_4',\n",
      " 3831: 'role_3',\n",
      " 3832: 'role_2',\n",
      " 3833: 'role_7',\n",
      " 3834: 'role_3',\n",
      " 3835: 'role_1',\n",
      " 3836: 'role_1',\n",
      " 3837: 'role_3',\n",
      " 3838: 'role_5',\n",
      " 3839: 'role_5',\n",
      " 3840: 'role_7',\n",
      " 3841: 'role_1',\n",
      " 3842: 'role_1',\n",
      " 3843: 'role_0',\n",
      " 3844: 'role_1',\n",
      " 3845: 'role_4',\n",
      " 3846: 'role_2',\n",
      " 3847: 'role_1',\n",
      " 3848: 'role_2',\n",
      " 3849: 'role_3',\n",
      " 3850: 'role_3',\n",
      " 3851: 'role_3',\n",
      " 3852: 'role_4',\n",
      " 3853: 'role_5',\n",
      " 3854: 'role_7',\n",
      " 3855: 'role_2',\n",
      " 3856: 'role_2',\n",
      " 3857: 'role_2',\n",
      " 3858: 'role_1',\n",
      " 3859: 'role_2',\n",
      " 3860: 'role_5',\n",
      " 3861: 'role_3',\n",
      " 3862: 'role_1',\n",
      " 3863: 'role_1',\n",
      " 3864: 'role_2',\n",
      " 3865: 'role_4',\n",
      " 3866: 'role_1',\n",
      " 3867: 'role_2',\n",
      " 3868: 'role_2',\n",
      " 3869: 'role_2',\n",
      " 3870: 'role_6',\n",
      " 3871: 'role_2',\n",
      " 3872: 'role_2',\n",
      " 3873: 'role_5',\n",
      " 3874: 'role_2',\n",
      " 3875: 'role_5',\n",
      " 3876: 'role_4',\n",
      " 3877: 'role_1',\n",
      " 3878: 'role_1',\n",
      " 3879: 'role_3',\n",
      " 3880: 'role_1',\n",
      " 3881: 'role_2',\n",
      " 3882: 'role_2',\n",
      " 3883: 'role_7',\n",
      " 3884: 'role_4',\n",
      " 3885: 'role_2',\n",
      " 3886: 'role_7',\n",
      " 3887: 'role_1',\n",
      " 3888: 'role_2',\n",
      " 3889: 'role_0',\n",
      " 3890: 'role_7',\n",
      " 3891: 'role_7',\n",
      " 3892: 'role_4',\n",
      " 3893: 'role_2',\n",
      " 3894: 'role_1',\n",
      " 3895: 'role_2',\n",
      " 3896: 'role_1',\n",
      " 3897: 'role_3',\n",
      " 3898: 'role_1',\n",
      " 3899: 'role_1',\n",
      " 3900: 'role_1',\n",
      " 3901: 'role_7',\n",
      " 3902: 'role_3',\n",
      " 3903: 'role_6',\n",
      " 3904: 'role_3',\n",
      " 3905: 'role_7',\n",
      " 3906: 'role_5',\n",
      " 3907: 'role_4',\n",
      " 3908: 'role_5',\n",
      " 3909: 'role_7',\n",
      " 3910: 'role_3',\n",
      " 3911: 'role_1',\n",
      " 3912: 'role_1',\n",
      " 3913: 'role_0',\n",
      " 3914: 'role_2',\n",
      " 3915: 'role_0',\n",
      " 3916: 'role_2',\n",
      " 3917: 'role_1',\n",
      " 3918: 'role_7',\n",
      " 3919: 'role_5',\n",
      " 3920: 'role_5',\n",
      " 3921: 'role_2',\n",
      " 3922: 'role_5',\n",
      " 3923: 'role_6',\n",
      " 3924: 'role_3',\n",
      " 3925: 'role_2',\n",
      " 3926: 'role_2',\n",
      " 3927: 'role_3',\n",
      " 3928: 'role_2',\n",
      " 3929: 'role_3',\n",
      " 3930: 'role_7',\n",
      " 3931: 'role_1',\n",
      " 3932: 'role_7',\n",
      " 3933: 'role_2',\n",
      " 3934: 'role_0',\n",
      " 3935: 'role_7',\n",
      " 3936: 'role_5',\n",
      " 3937: 'role_1',\n",
      " 3938: 'role_3',\n",
      " 3939: 'role_7',\n",
      " 3940: 'role_5',\n",
      " 3941: 'role_7',\n",
      " 3942: 'role_3',\n",
      " 3943: 'role_2',\n",
      " 3944: 'role_3',\n",
      " 3945: 'role_2',\n",
      " 3946: 'role_7',\n",
      " 3947: 'role_3',\n",
      " 3948: 'role_1',\n",
      " 3949: 'role_1',\n",
      " 3950: 'role_4',\n",
      " 3951: 'role_0',\n",
      " 3952: 'role_1',\n",
      " 3953: 'role_2',\n",
      " 3954: 'role_0',\n",
      " 3955: 'role_2',\n",
      " 3956: 'role_6',\n",
      " 3957: 'role_4',\n",
      " 3958: 'role_0',\n",
      " 3959: 'role_1',\n",
      " 3960: 'role_4',\n",
      " 3961: 'role_2',\n",
      " 3962: 'role_6',\n",
      " 3963: 'role_2',\n",
      " 3964: 'role_3',\n",
      " 3965: 'role_3',\n",
      " 3966: 'role_7',\n",
      " 3967: 'role_5',\n",
      " 3968: 'role_4',\n",
      " 3969: 'role_3',\n",
      " 3970: 'role_2',\n",
      " 3971: 'role_5',\n",
      " 3972: 'role_7',\n",
      " 3973: 'role_0',\n",
      " 3974: 'role_2',\n",
      " 3975: 'role_1',\n",
      " 3976: 'role_4',\n",
      " 3977: 'role_4',\n",
      " 3978: 'role_3',\n",
      " 3979: 'role_3',\n",
      " 3980: 'role_2',\n",
      " 3981: 'role_3',\n",
      " 3982: 'role_3',\n",
      " 3983: 'role_7',\n",
      " 3984: 'role_0',\n",
      " 3985: 'role_3',\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      " 3986: 'role_0',\n",
      " 3987: 'role_6',\n",
      " 3988: 'role_2',\n",
      " 3989: 'role_3',\n",
      " 3990: 'role_1',\n",
      " 3991: 'role_6',\n",
      " 3992: 'role_7',\n",
      " 3993: 'role_2',\n",
      " 3994: 'role_6',\n",
      " 3995: 'role_3',\n",
      " 3996: 'role_1',\n",
      " 3997: 'role_4',\n",
      " 3998: 'role_2',\n",
      " 3999: 'role_1',\n",
      " 4000: 'role_1',\n",
      " 4001: 'role_1',\n",
      " 4002: 'role_1',\n",
      " 4003: 'role_6',\n",
      " 4004: 'role_2',\n",
      " 4005: 'role_0',\n",
      " 4006: 'role_0',\n",
      " 4007: 'role_0',\n",
      " 4008: 'role_2',\n",
      " 4009: 'role_0',\n",
      " 4010: 'role_1',\n",
      " 4011: 'role_1',\n",
      " 4012: 'role_5',\n",
      " 4013: 'role_2',\n",
      " 4014: 'role_2',\n",
      " 4015: 'role_2',\n",
      " 4016: 'role_0',\n",
      " 4017: 'role_3',\n",
      " 4018: 'role_2',\n",
      " 4019: 'role_4',\n",
      " 4020: 'role_3',\n",
      " 4021: 'role_3',\n",
      " 4022: 'role_0',\n",
      " 4023: 'role_4',\n",
      " 4024: 'role_0',\n",
      " 4025: 'role_3',\n",
      " 4026: 'role_5',\n",
      " 4027: 'role_2',\n",
      " 4028: 'role_2',\n",
      " 4029: 'role_1',\n",
      " 4030: 'role_7',\n",
      " 4031: 'role_1',\n",
      " 4032: 'role_2',\n",
      " 4033: 'role_5',\n",
      " 4034: 'role_1',\n",
      " 4035: 'role_0',\n",
      " 4036: 'role_5',\n",
      " 4037: 'role_2',\n",
      " 4038: 'role_3',\n",
      " 4039: 'role_1',\n",
      " 4040: 'role_3',\n",
      " 4041: 'role_1',\n",
      " 4042: 'role_0',\n",
      " 4043: 'role_5',\n",
      " 4044: 'role_2',\n",
      " 4045: 'role_5',\n",
      " 4046: 'role_1',\n",
      " 4047: 'role_3',\n",
      " 4048: 'role_1',\n",
      " 4049: 'role_4',\n",
      " 4050: 'role_4',\n",
      " 4051: 'role_0',\n",
      " 4052: 'role_0',\n",
      " 4053: 'role_3',\n",
      " 4054: 'role_2',\n",
      " 4055: 'role_0',\n",
      " 4056: 'role_2',\n",
      " 4057: 'role_2',\n",
      " 4058: 'role_2',\n",
      " 4059: 'role_1',\n",
      " 4060: 'role_1',\n",
      " 4061: 'role_0',\n",
      " 4062: 'role_3',\n",
      " 4063: 'role_2',\n",
      " 4064: 'role_2',\n",
      " 4065: 'role_6',\n",
      " 4066: 'role_1',\n",
      " 4067: 'role_4',\n",
      " 4068: 'role_2',\n",
      " 4069: 'role_0',\n",
      " 4070: 'role_2',\n",
      " 4071: 'role_3',\n",
      " 4072: 'role_5',\n",
      " 4073: 'role_2',\n",
      " 4074: 'role_1',\n",
      " 4075: 'role_0',\n",
      " 4076: 'role_2',\n",
      " 4077: 'role_3',\n",
      " 4078: 'role_3',\n",
      " 4079: 'role_1',\n",
      " 4080: 'role_2',\n",
      " 4081: 'role_1',\n",
      " 4082: 'role_0',\n",
      " 4083: 'role_3',\n",
      " 4084: 'role_0',\n",
      " 4085: 'role_3',\n",
      " 4086: 'role_7',\n",
      " 4087: 'role_0',\n",
      " 4088: 'role_7',\n",
      " 4089: 'role_2',\n",
      " 4090: 'role_4',\n",
      " 4091: 'role_4',\n",
      " 4092: 'role_3',\n",
      " 4093: 'role_1',\n",
      " 4094: 'role_5',\n",
      " 4095: 'role_3',\n",
      " 4096: 'role_2',\n",
      " 4097: 'role_6',\n",
      " 4098: 'role_4',\n",
      " 4099: 'role_2',\n",
      " 4100: 'role_1',\n",
      " 4101: 'role_1',\n",
      " 4102: 'role_2',\n",
      " 4103: 'role_2',\n",
      " 4104: 'role_4',\n",
      " 4105: 'role_0',\n",
      " 4106: 'role_2',\n",
      " 4107: 'role_2',\n",
      " 4108: 'role_1',\n",
      " 4109: 'role_2',\n",
      " 4110: 'role_5',\n",
      " 4111: 'role_7',\n",
      " 4112: 'role_1',\n",
      " 4113: 'role_2'}\n",
      "\n",
      "h_nodepercentage:\n",
      "      role_0  role_1  role_2  role_3  role_4  role_5  role_6  role_7\n",
      "0       0.09    0.20    0.04    0.38    0.00    0.09    0.20    0.00\n",
      "1       0.05    0.16    0.33    0.24    0.05    0.11    0.00    0.05\n",
      "2       0.00    0.00    0.62    0.31    0.00    0.00    0.05    0.00\n",
      "3       0.00    0.19    0.00    0.53    0.00    0.00    0.26    0.00\n",
      "4       0.23    0.10    0.23    0.16    0.00    0.00    0.10    0.16\n",
      "...      ...     ...     ...     ...     ...     ...     ...     ...\n",
      "4109    0.06    0.06    0.27    0.01    0.12    0.27    0.19    0.01\n",
      "4110    0.08    0.01    0.08    0.16    0.01    0.50    0.01    0.16\n",
      "4111    0.05    0.05    0.05    0.05    0.05    0.05    0.05    0.63\n",
      "4112    0.08    0.37    0.04    0.37    0.08    0.00    0.00    0.04\n",
      "4113    0.01    0.01    0.66    0.08    0.24    0.01    0.01    0.01\n",
      "\n",
      "[4114 rows x 8 columns]\n"
     ]
    }
   ],
   "source": [
    "# assign node roles\n",
    "h_role_extractor = RoleExtractor(n_roles=None)\n",
    "h_role_extractor.extract_role_factors(h_features)\n",
    "h_node_roles = h_role_extractor.roles\n",
    "\n",
    "print('\\nh_node_roles:')\n",
    "pprint(h_node_roles)\n",
    "\n",
    "print('\\nh_nodepercentage:')\n",
    "print(h_role_extractor.role_percentage.round(2))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 69,
   "id": "b4b068b8",
   "metadata": {},
   "outputs": [],
   "source": [
    "#print list of usernames with specific role and add to a list\n",
    "# this function is used here to check how many nodes are assigned to each role\n",
    "\n",
    "username0_list = []\n",
    "for username, role in h_node_roles.items():\n",
    "    if role == 'role_7': # user can change role here to check\n",
    "        username0_list.append(username)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 70,
   "id": "acf6520a",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "281\n"
     ]
    }
   ],
   "source": [
    "print(len(username0_list))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 98,
   "id": "e8f99634",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Average out-degree of each role group in random network\n",
      "role_0:  0.01650943396226415\n",
      "role_1:  0.006195786864931847\n",
      "role_2:  0.002150537634408602\n",
      "role_3:  0.0021929824561403508\n",
      "role_4:  0.006437768240343348\n",
      "role_5:  0.007352941176470588\n",
      "role_6:  0.005847953216374269\n",
      "role_7:  0.0071174377224199285\n"
     ]
    }
   ],
   "source": [
    "print(\"Average out-degree of each role group in random network\")\n",
    "\n",
    "username0_list = []\n",
    "for username, role in h_node_roles.items():\n",
    "    if role == 'role_0':\n",
    "        username0_list.append(username)\n",
    "        avg0_out_degree = h.out_degree(username) / len(username0_list)\n",
    "        \n",
    "print('role_0: ', avg0_out_degree)\n",
    "\n",
    "username1_list = []\n",
    "for username, role in h_node_roles.items():\n",
    "    if role == 'role_1':\n",
    "        username1_list.append(username)\n",
    "        avg1_out_degree = h.out_degree(username) / len(username1_list)\n",
    "        \n",
    "print('role_1: ', avg1_out_degree)\n",
    "\n",
    "username2_list = []\n",
    "for username, role in h_node_roles.items():\n",
    "    if role == 'role_2':\n",
    "        username2_list.append(username)\n",
    "        avg2_out_degree = h.out_degree(username) / len(username2_list)\n",
    "        \n",
    "print('role_2: ', avg2_out_degree)\n",
    "\n",
    "username3_list = []\n",
    "for username, role in h_node_roles.items():\n",
    "    if role == 'role_3':\n",
    "        username3_list.append(username)\n",
    "        avg3_out_degree = h.out_degree(username) / len(username3_list)\n",
    "        \n",
    "print('role_3: ', avg3_out_degree)\n",
    "\n",
    "username4_list = []\n",
    "for username, role in h_node_roles.items():\n",
    "    if role == 'role_4':\n",
    "        username4_list.append(username)\n",
    "        avg4_out_degree = h.out_degree(username) / len(username4_list)\n",
    "        \n",
    "print('role_4: ', avg4_out_degree)\n",
    "\n",
    "username5_list = []\n",
    "for username, role in h_node_roles.items():\n",
    "    if role == 'role_5':\n",
    "        username5_list.append(username)\n",
    "        avg5_out_degree = h.out_degree(username) / len(username5_list)\n",
    "        \n",
    "print('role_5: ', avg5_out_degree)\n",
    "\n",
    "username6_list = []\n",
    "for username, role in h_node_roles.items():\n",
    "    if role == 'role_6':\n",
    "        username6_list.append(username)\n",
    "        avg6_out_degree = h.out_degree(username) / len(username6_list)\n",
    "        \n",
    "print('role_6: ', avg6_out_degree)\n",
    "\n",
    "username7_list = []\n",
    "for username, role in h_node_roles.items():\n",
    "    if role == 'role_7':\n",
    "        username7_list.append(username)\n",
    "        avg7_out_degree = h.out_degree(username) / len(username7_list)\n",
    "        \n",
    "print('role_7: ', avg7_out_degree)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 99,
   "id": "bd5d2aad",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Average in-degree of each role group in random network\n",
      "role_0:  0.0\n",
      "role_1:  0.0037174721189591076\n",
      "role_2:  0.002150537634408602\n",
      "role_3:  0.008771929824561403\n",
      "role_4:  0.006437768240343348\n",
      "role_5:  0.014705882352941176\n",
      "role_6:  0.005847953216374269\n",
      "role_7:  0.0035587188612099642\n"
     ]
    }
   ],
   "source": [
    "print(\"Average in-degree of each role group in random network\")\n",
    "\n",
    "username0_list = []\n",
    "for username, role in h_node_roles.items():\n",
    "    if role == 'role_0':\n",
    "        username0_list.append(username)\n",
    "        avg0_in_degree = h.in_degree(username) / len(username0_list)\n",
    "        \n",
    "print('role_0: ', avg0_in_degree)\n",
    "\n",
    "username1_list = []\n",
    "for username, role in h_node_roles.items():\n",
    "    if role == 'role_1':\n",
    "        username1_list.append(username)\n",
    "        avg1_in_degree = h.in_degree(username) / len(username1_list)\n",
    "        \n",
    "print('role_1: ', avg1_in_degree)\n",
    "\n",
    "username2_list = []\n",
    "for username, role in h_node_roles.items():\n",
    "    if role == 'role_2':\n",
    "        username2_list.append(username)\n",
    "        avg2_in_degree = h.in_degree(username) / len(username2_list)\n",
    "        \n",
    "print('role_2: ', avg2_in_degree)\n",
    "\n",
    "username3_list = []\n",
    "for username, role in h_node_roles.items():\n",
    "    if role == 'role_3':\n",
    "        username3_list.append(username)\n",
    "        avg3_in_degree = h.in_degree(username) / len(username3_list)\n",
    "        \n",
    "print('role_3: ', avg3_in_degree)\n",
    "\n",
    "username4_list = []\n",
    "for username, role in h_node_roles.items():\n",
    "    if role == 'role_4':\n",
    "        username4_list.append(username)\n",
    "        avg4_in_degree = h.in_degree(username) / len(username4_list)\n",
    "        \n",
    "print('role_4: ', avg4_in_degree)\n",
    "\n",
    "username5_list = []\n",
    "for username, role in h_node_roles.items():\n",
    "    if role == 'role_5':\n",
    "        username5_list.append(username)\n",
    "        avg5_in_degree = h.in_degree(username) / len(username5_list)\n",
    "        \n",
    "print('role_5: ', avg5_in_degree)\n",
    "\n",
    "username6_list = []\n",
    "for username, role in h_node_roles.items():\n",
    "    if role == 'role_6':\n",
    "        username6_list.append(username)\n",
    "        avg6_in_degree = h.in_degree(username) / len(username6_list)\n",
    "        \n",
    "print('role_6: ', avg6_in_degree)\n",
    "\n",
    "username7_list = []\n",
    "for username, role in h_node_roles.items():\n",
    "    if role == 'role_7':\n",
    "        username7_list.append(username)\n",
    "        avg7_in_degree = h.in_degree(username) / len(username7_list)\n",
    "        \n",
    "print('role_7: ', avg7_in_degree)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "b530dfe5",
   "metadata": {},
   "source": [
    "## Role Discovery on Twitter Network"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "47dc8d4a",
   "metadata": {},
   "outputs": [],
   "source": [
    "# extract features using graphrole library\n",
    "g_feature_extractor = RecursiveFeatureExtractor(g)\n",
    "g_features = g_feature_extractor.extract_features()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "6b3772be",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "g_node_roles:\n",
      "{'00schneemann': 'role_0',\n",
      " '0815_goes_4711': 'role_0',\n",
      " '0Murat0': 'role_6',\n",
      " '0__Punkt': 'role_0',\n",
      " '0x127001': 'role_6',\n",
      " '100erneuerbar': 'role_0',\n",
      " '10DMark': 'role_0',\n",
      " '11achim71': 'role_3',\n",
      " '123Lenchen': 'role_0',\n",
      " '1893ituka': 'role_0',\n",
      " '1900HO': 'role_7',\n",
      " '1951Mann': 'role_0',\n",
      " '1964Andreasda': 'role_0',\n",
      " '1Klaudius62': 'role_6',\n",
      " '1arealtalk': 'role_0',\n",
      " '1teufelskreis': 'role_0',\n",
      " '2008_jens': 'role_0',\n",
      " '31O6926': 'role_5',\n",
      " '3697elfriedel': 'role_6',\n",
      " '4g0nm': 'role_5',\n",
      " '558d86617a41449': 'role_4',\n",
      " '6cks_': 'role_0',\n",
      " '73erStrikesBack': 'role_6',\n",
      " '7654321o': 'role_6',\n",
      " '90sChris': 'role_7',\n",
      " '98mercedes98': 'role_7',\n",
      " '99Michel99': 'role_3',\n",
      " 'A1207Sa': 'role_6',\n",
      " 'ABCWorldNews': 'role_0',\n",
      " 'ABaerbock': 'role_0',\n",
      " 'ABalsliemke': 'role_3',\n",
      " 'ADressel': 'role_2',\n",
      " 'AGBuelow': 'role_0',\n",
      " 'AGH_Berlin': 'role_0',\n",
      " 'AGStadtkerne': 'role_0',\n",
      " 'AK55828631': 'role_5',\n",
      " 'AK_Meier': 'role_0',\n",
      " 'AK__Social': 'role_6',\n",
      " 'AKaiser94789344': 'role_0',\n",
      " 'ALevermann': 'role_0',\n",
      " 'AMazzeppa': 'role_6',\n",
      " 'ANiebler': 'role_0',\n",
      " 'ANiklaus4': 'role_3',\n",
      " 'APVogt': 'role_2',\n",
      " 'APatzwahl': 'role_0',\n",
      " 'ARD_BaB': 'role_0',\n",
      " 'ARD_Presse': 'role_0',\n",
      " 'ARasilop': 'role_7',\n",
      " 'ASF_SPDFrauen': 'role_0',\n",
      " 'ASTS1972': 'role_6',\n",
      " 'ATausNRW': 'role_3',\n",
      " 'AWidmannMauz': 'role_7',\n",
      " 'AXL_0711': 'role_6',\n",
      " 'A_Schillhaneck': 'role_2',\n",
      " 'AaronClamann': 'role_0',\n",
      " 'AbdelkarimsLP': 'role_0',\n",
      " 'Absurdistan123': 'role_6',\n",
      " 'Abtreibpranger': 'role_0',\n",
      " 'AceKaiser': 'role_0',\n",
      " 'AchavaFest': 'role_0',\n",
      " 'AchimKuenzel': 'role_0',\n",
      " 'AchimStrehlke': 'role_0',\n",
      " 'Achim_P': 'role_0',\n",
      " 'AdaJakobsthal': 'role_0',\n",
      " 'Adam76769590': 'role_6',\n",
      " 'AeliaVicusPlave': 'role_0',\n",
      " 'Aennti': 'role_0',\n",
      " 'AfD': 'role_0',\n",
      " 'AfDBerlin': 'role_0',\n",
      " 'AfDFraktionAGH': 'role_0',\n",
      " 'AfDLindemann': 'role_0',\n",
      " 'AfDWahlkampf': 'role_3',\n",
      " 'AfD_Bayern': 'role_0',\n",
      " 'AfD_Muenster': 'role_0',\n",
      " 'AfD_ThL': 'role_0',\n",
      " 'AfD_Thueringen': 'role_0',\n",
      " 'AfDimBundestag': 'role_0',\n",
      " 'AfDimEUParl': 'role_0',\n",
      " 'AfdLwl': 'role_0',\n",
      " 'Afelia': 'role_0',\n",
      " 'AhmadMassoud01': 'role_0',\n",
      " 'Ahmed_chalku': 'role_5',\n",
      " 'AhnSlayrJ': 'role_0',\n",
      " 'AiasMaior': 'role_0',\n",
      " 'Aimachill': 'role_0',\n",
      " 'AisheGumus': 'role_4',\n",
      " 'Akbar_offiziell': 'role_0',\n",
      " 'AkbulutGokay': 'role_0',\n",
      " 'AkiroSchiwa': 'role_0',\n",
      " 'AlBu83': 'role_6',\n",
      " 'AlHau7': 'role_3',\n",
      " 'Albatro99108219': 'role_3',\n",
      " 'Albinogiraffe1': 'role_4',\n",
      " 'AlbrechtPallas': 'role_1',\n",
      " 'AldousLeary': 'role_7',\n",
      " 'Alece92912603': 'role_7',\n",
      " 'Aledavyd': 'role_0',\n",
      " 'AleksM85806064': 'role_5',\n",
      " 'AlexCody17': 'role_4',\n",
      " 'AlexDierksMdL': 'role_0',\n",
      " 'AlexSas31040729': 'role_6',\n",
      " 'AlexTheBike': 'role_6',\n",
      " 'AlexWallasch': 'role_0',\n",
      " 'AlexWieIchBin': 'role_3',\n",
      " 'AlexZ0283': 'role_5',\n",
      " 'Alex_Schweitzer': 'role_4',\n",
      " 'Alexand36061482': 'role_7',\n",
      " 'Alexand49766375': 'role_3',\n",
      " 'Alexand95308875': 'role_0',\n",
      " 'AlexanderLasch': 'role_4',\n",
      " 'AlexandraCarl2': 'role_7',\n",
      " 'AlexandraGeese': 'role_4',\n",
      " 'Alexandra_421': 'role_0',\n",
      " 'Alexels1512': 'role_3',\n",
      " 'AlexiaP92779533': 'role_6',\n",
      " 'Alexis_de_Lalas': 'role_6',\n",
      " 'AliCologne': 'role_0',\n",
      " 'AliHeydar15': 'role_6',\n",
      " 'AliceSpatz': 'role_0',\n",
      " 'Alice_Weidel': 'role_0',\n",
      " 'Allfor_red': 'role_4',\n",
      " 'AlpKIRCI': 'role_1',\n",
      " 'AlphaTau15': 'role_4',\n",
      " 'Alpha_Rocking': 'role_0',\n",
      " 'AlpixTM': 'role_7',\n",
      " 'AlskeFreter': 'role_4',\n",
      " 'AlternativeNRW': 'role_0',\n",
      " 'Alternativlos3': 'role_3',\n",
      " 'Ambielex1': 'role_0',\n",
      " 'AmerAcadPeds': 'role_0',\n",
      " 'AmidRabieh': 'role_0',\n",
      " 'Amira_M_Ali': 'role_7',\n",
      " 'AmrullahSaleh2': 'role_0',\n",
      " 'AnInnerConflict': 'role_6',\n",
      " 'AnLa18294437': 'role_7',\n",
      " 'AnP_Magazin': 'role_4',\n",
      " 'AndDobro': 'role_6',\n",
      " 'AndersonAfDMdEP': 'role_0',\n",
      " 'AndiThorsten': 'role_6',\n",
      " 'Andi_Wagner': 'role_2',\n",
      " 'Andie_antwortet': 'role_5',\n",
      " 'AndrMey': 'role_3',\n",
      " 'AndreBeran': 'role_3',\n",
      " 'AndreaKlieve': 'role_0',\n",
      " 'AndreaPirringer': 'role_0',\n",
      " 'Andreas22181762': 'role_0',\n",
      " 'AndreasAndy3131': 'role_0',\n",
      " 'AndreasBerle': 'role_0',\n",
      " 'AndreasKemper': 'role_0',\n",
      " 'AndreasKoristka': 'role_0',\n",
      " 'AndreasPechtold': 'role_0',\n",
      " 'AndreasSchulze': 'role_3',\n",
      " 'AndreasSprecher': 'role_0',\n",
      " 'AndreasSteier': 'role_4',\n",
      " 'Andreas_Rimkus': 'role_0',\n",
      " 'Andreas_Schwab': 'role_7',\n",
      " 'AndreoWicz': 'role_1',\n",
      " 'AndreyOldSchool': 'role_6',\n",
      " 'AndyPoettgen': 'role_0',\n",
      " 'Anemalon19': 'role_7',\n",
      " 'AngiMorstadt': 'role_3',\n",
      " 'AnjaKofbinger': 'role_4',\n",
      " 'AnjaSiegesmund': 'role_4',\n",
      " 'Anja_aaaaa': 'role_7',\n",
      " 'Anjaisonline': 'role_6',\n",
      " 'AnkeHassel': 'role_0',\n",
      " 'AnkeRehlinger': 'role_2',\n",
      " 'Anna18750705': 'role_3',\n",
      " 'AnnaDeparnay': 'role_4',\n",
      " 'AnnaGallinaHH': 'role_2',\n",
      " 'AnneWillTalk': 'role_0',\n",
      " 'Annelenen1234An': 'role_0',\n",
      " 'AnniHuber': 'role_0',\n",
      " 'AnniKlose': 'role_4',\n",
      " 'AnonymousWbw': 'role_3',\n",
      " 'AnsarBerlin': 'role_0',\n",
      " 'AnserJen': 'role_0',\n",
      " 'Anstaltsleiter': 'role_2',\n",
      " 'Anterselva1': 'role_4',\n",
      " 'AntiAlternative': 'role_0',\n",
      " 'AntiHassImNetz': 'role_6',\n",
      " 'AntjeFeiks': 'role_0',\n",
      " 'AntonKonneke': 'role_0',\n",
      " 'AntoniaNiecke': 'role_0',\n",
      " 'Aras_Nathan': 'role_0',\n",
      " 'ArfstW': 'role_3',\n",
      " 'ArioMirzaie': 'role_0',\n",
      " 'Arista53692379': 'role_0',\n",
      " 'Arizona10238417': 'role_6',\n",
      " 'Ariztizbal': 'role_0',\n",
      " 'ArminLaschet': 'role_0',\n",
      " 'ArminRoennau': 'role_6',\n",
      " 'ArminWolf': 'role_0',\n",
      " 'Arndt_Klocke': 'role_0',\n",
      " 'ArneBab': 'role_7',\n",
      " 'ArnePetersen16': 'role_5',\n",
      " 'Arne_Timm_1': 'role_5',\n",
      " 'Assisi_Project': 'role_0',\n",
      " 'AstridScharf2': 'role_0',\n",
      " 'AtlanticCouncil': 'role_0',\n",
      " 'AuerTobi': 'role_6',\n",
      " 'AugusteCalami': 'role_4',\n",
      " 'AusBine': 'role_7',\n",
      " 'AusFuzzy': 'role_0',\n",
      " 'AuschwitzMuseum': 'role_0',\n",
      " 'AuswaertigesAmt': 'role_0',\n",
      " 'AutorToto': 'role_0',\n",
      " 'AutumnAlias': 'role_5',\n",
      " 'Ava__Hirsch': 'role_5',\n",
      " 'AvonacoTV': 'role_3',\n",
      " 'Axarya': 'role_0',\n",
      " 'AxelHohl': 'role_7',\n",
      " 'AzadAyd95553825': 'role_3',\n",
      " 'BAHarburg': 'role_0',\n",
      " 'BB12_DE': 'role_0',\n",
      " 'BBem87': 'role_3',\n",
      " 'BILD': 'role_2',\n",
      " 'BILD_Politik': 'role_0',\n",
      " 'BLN_CoMeCo': 'role_7',\n",
      " 'BMAS_Bund': 'role_0',\n",
      " 'BMF_Bund': 'role_0',\n",
      " 'BMG_Bund': 'role_0',\n",
      " 'BMI_Bund': 'role_0',\n",
      " 'BMVI': 'role_0',\n",
      " 'BMVg_Bundeswehr': 'role_0',\n",
      " 'BPsteinmueller': 'role_0',\n",
      " 'BQ56168714': 'role_0',\n",
      " 'BVG_Ubahn': 'role_0',\n",
      " 'BVKJ': 'role_0',\n",
      " 'BWassertisch': 'role_0',\n",
      " 'BWjetzt': 'role_0',\n",
      " 'B_Gunners21': 'role_7',\n",
      " 'Ba5el': 'role_7',\n",
      " 'BabettZapfe': 'role_3',\n",
      " 'BachmannRudi': 'role_0',\n",
      " 'Bachsonate': 'role_6',\n",
      " 'BadTrader5': 'role_3',\n",
      " 'BadrigXt': 'role_0',\n",
      " 'BaerbelHoehn': 'role_0',\n",
      " 'BaharAslan_': 'role_0',\n",
      " 'BalkonRocker': 'role_0',\n",
      " 'Banana_Joe2': 'role_3',\n",
      " 'BandtheBears1': 'role_4',\n",
      " 'Bangeline6': 'role_7',\n",
      " 'Barbara67581170': 'role_3',\n",
      " 'BarbaraKirstein': 'role_0',\n",
      " 'BarisOenes': 'role_0',\n",
      " 'Bart1893': 'role_6',\n",
      " 'BastiGassl': 'role_3',\n",
      " 'BastianBrauns': 'role_0',\n",
      " 'Battefeld5': 'role_0',\n",
      " 'Bauchkribbeln2': 'role_3',\n",
      " 'BauerWilli_org': 'role_3',\n",
      " 'Baumpilot1': 'role_0',\n",
      " 'BavariaGangsta': 'role_3',\n",
      " 'BayernSPD': 'role_0',\n",
      " 'BayernSPD_Lndtg': 'role_0',\n",
      " 'BayernSyberella': 'role_3',\n",
      " 'BeGoodDe': 'role_0',\n",
      " 'BeSondererBlick': 'role_3',\n",
      " 'BeatePohl2': 'role_6',\n",
      " 'BeateWaRo': 'role_4',\n",
      " 'Beatriceroduner': 'role_0',\n",
      " 'Beatrix_vStorch': 'role_0',\n",
      " 'Becker_uk': 'role_0',\n",
      " 'Bee87032600': 'role_6',\n",
      " 'BeesAndHoney123': 'role_3',\n",
      " 'Behindt93065949': 'role_0',\n",
      " 'BehrischGeorge': 'role_6',\n",
      " 'BenBavarian': 'role_0',\n",
      " 'BenHope1981': 'role_3',\n",
      " 'BenJongo': 'role_6',\n",
      " 'BenWeinthal': 'role_0',\n",
      " 'Beneoster': 'role_4',\n",
      " 'BenjaminDThomas': 'role_0',\n",
      " 'BenjaminHeese': 'role_0',\n",
      " 'BenjaminHoff': 'role_0',\n",
      " 'BenniAps': 'role_0',\n",
      " 'Bennix1308': 'role_7',\n",
      " 'BentFreiwald': 'role_0',\n",
      " 'Beobach05788281': 'role_1',\n",
      " 'Beobach05943803': 'role_0',\n",
      " 'Berater_1': 'role_3',\n",
      " 'BerlinDentis1': 'role_0',\n",
      " 'BerlinElias': 'role_0',\n",
      " 'BerlinGestalter': 'role_2',\n",
      " 'BerlinGross': 'role_6',\n",
      " 'BerlinerNord': 'role_1',\n",
      " 'BerlinerNotizen': 'role_0',\n",
      " 'Berliner_JA': 'role_0',\n",
      " 'Bernd07037046': 'role_6',\n",
      " 'BernhardBraunLT': 'role_1',\n",
      " 'BernhardHinsken': 'role_3',\n",
      " 'BernhardZimniok': 'role_0',\n",
      " 'BernieHoffi': 'role_0',\n",
      " 'BertHagels': 'role_0',\n",
      " 'BertvanBurgh2': 'role_0',\n",
      " 'BetMueller': 'role_2',\n",
      " 'BetienneA': 'role_3',\n",
      " 'Betigoeshappy': 'role_0',\n",
      " 'Betti44918354': 'role_3',\n",
      " 'Bettina58130936': 'role_7',\n",
      " 'BettinaBender5': 'role_5',\n",
      " 'BettinaHornhues': 'role_4',\n",
      " 'BettinaSRoss1': 'role_0',\n",
      " 'Bettina_Jarasch': 'role_0',\n",
      " 'Bettitogo': 'role_1',\n",
      " 'BharoNarendra': 'role_6',\n",
      " 'BiJour': 'role_4',\n",
      " 'Bielefelder1905': 'role_0',\n",
      " 'BildungslandNRW': 'role_0',\n",
      " 'Bilgard2': 'role_6',\n",
      " 'BillBramhall': 'role_0',\n",
      " 'BillyJ147': 'role_0',\n",
      " 'BimboBeau': 'role_6',\n",
      " 'Bin_privat_hier': 'role_0',\n",
      " 'Bine692': 'role_3',\n",
      " 'BineB': 'role_2',\n",
      " 'BineWe2': 'role_0',\n",
      " 'BioSchwan': 'role_0',\n",
      " 'Birgit_Kelle': 'role_0',\n",
      " 'Birnstab': 'role_0',\n",
      " 'BitcoinIsKingg': 'role_5',\n",
      " 'BjoernRaven': 'role_6',\n",
      " 'BjoernSimon': 'role_0',\n",
      " 'BjoernThoroe': 'role_4',\n",
      " 'Bjoern_Ziemann': 'role_6',\n",
      " 'BjornHarras': 'role_4',\n",
      " 'Blancko': 'role_0',\n",
      " 'BlickpunktASM': 'role_0',\n",
      " 'Blue_eyes_2021': 'role_0',\n",
      " 'BluhmRobert': 'role_1',\n",
      " 'BlumeEvolution': 'role_0',\n",
      " 'Bo75298337': 'role_6',\n",
      " 'BobKelzow': 'role_7',\n",
      " 'Bode_Anne1': 'role_7',\n",
      " 'BodoNoeske': 'role_0',\n",
      " 'BodoZenner': 'role_6',\n",
      " 'BoehningB': 'role_7',\n",
      " 'BohneDen': 'role_6',\n",
      " 'BolligGreta': 'role_0',\n",
      " 'Boris20537': 'role_6',\n",
      " 'Bortanos': 'role_0',\n",
      " 'BosscherDennis': 'role_6',\n",
      " 'Brainflakes': 'role_6',\n",
      " 'BrandThomas': 'role_3',\n",
      " 'Braun2Joerg': 'role_3',\n",
      " 'BreuerLeopold': 'role_7',\n",
      " 'BriHasselmann': 'role_4',\n",
      " 'BrightLight75': 'role_6',\n",
      " 'BrinkmannLab': 'role_0',\n",
      " 'BrodnikB': 'role_6',\n",
      " 'BruceWayyyne': 'role_0',\n",
      " 'Brummelbr1': 'role_0',\n",
      " 'BrunettiGi': 'role_7',\n",
      " 'Bruno76921911': 'role_5',\n",
      " 'BuNiRiDienst': 'role_3',\n",
      " 'BuchheitMarkus': 'role_0',\n",
      " 'Buchiworldwide': 'role_6',\n",
      " 'Buckenhofer': 'role_0',\n",
      " 'Buehlandreas': 'role_2',\n",
      " 'BuettnerAndreas': 'role_0',\n",
      " 'BuiltResist': 'role_6',\n",
      " 'Burger65847255': 'role_0',\n",
      " 'BurkertEulitz': 'role_2',\n",
      " 'BuschRiecke': 'role_6',\n",
      " 'BusseTanja': 'role_0',\n",
      " 'Buster_InShorts': 'role_5',\n",
      " 'Butterblmchen3': 'role_3',\n",
      " 'Bw_Einsatz': 'role_0',\n",
      " 'ByggvirOfBarley': 'role_6',\n",
      " 'BytestarX': 'role_3',\n",
      " 'CBvHeusinger': 'role_4',\n",
      " 'CCPlayer3D': 'role_1',\n",
      " 'CDEDeMuynck': 'role_6',\n",
      " 'CDU': 'role_4',\n",
      " 'CDUNRW_de': 'role_3',\n",
      " 'CDU_BW': 'role_0',\n",
      " 'CDU_KV_PB': 'role_0',\n",
      " 'CKross36': 'role_7',\n",
      " 'CLindberg_HH': 'role_0',\n",
      " 'CMller3': 'role_7',\n",
      " 'CNathusius': 'role_1',\n",
      " 'COMPACTMagazin': 'role_0',\n",
      " 'COberhaupt': 'role_0',\n",
      " 'CPPLUCINSKI': 'role_6',\n",
      " 'CP_Berlin': 'role_0',\n",
      " 'CSDdresden': 'role_0',\n",
      " 'CSU': 'role_4',\n",
      " 'CTrettler': 'role_0',\n",
      " 'C_Holler': 'role_0',\n",
      " 'C_Pohlmann': 'role_6',\n",
      " 'C_Sterzik': 'role_0',\n",
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      " 'CamPeter6': 'role_0',\n",
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    {
     "name": "stdout",
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     "text": [
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      " 'wohooo_mp': 'role_6',\n",
      " 'wolke1231': 'role_3',\n",
      " 'worldsback2': 'role_0',\n",
      " 'worrius': 'role_7',\n",
      " 'wotanweiche': 'role_1',\n",
      " 'wuest23': 'role_6',\n",
      " 'wunder2welt': 'role_4',\n",
      " 'wupperdude': 'role_6',\n",
      " 'wurstmoped': 'role_6',\n",
      " 'wystrach': 'role_0',\n",
      " 'wznkm': 'role_4',\n",
      " 'xclsv3': 'role_0',\n",
      " 'xecon6': 'role_6',\n",
      " 'xeniaengel2020': 'role_0',\n",
      " 'xholonx': 'role_0',\n",
      " 'xileffff': 'role_0',\n",
      " 'xtp_official': 'role_3',\n",
      " 'y_marriex': 'role_5',\n",
      " 'yasminecmbarek': 'role_0',\n",
      " 'yello_de': 'role_0',\n",
      " 'ylvs': 'role_1',\n",
      " 'yogibaer02': 'role_6',\n",
      " 'yop_hans': 'role_0',\n",
      " 'yoschi147': 'role_1',\n",
      " 'yoxuxoy': 'role_6',\n",
      " 'yrthy': 'role_0',\n",
      " 'yvonnegoe1': 'role_4',\n",
      " 'zaubser': 'role_7',\n",
      " 'zebragrun': 'role_0',\n",
      " 'zeit_du': 'role_6',\n",
      " 'zeitonline': 'role_0',\n",
      " 'zeitonline_pol': 'role_0',\n",
      " 'zeleni_cz': 'role_0',\n",
      " 'zeuxis_cs': 'role_5',\n",
      " 'zooberlin': 'role_0',\n",
      " 'zukunftland': 'role_0',\n",
      " 'zvw_redaktion': 'role_0',\n",
      " 'zzurges': 'role_3'}\n",
      "\n",
      "g_nodepercentage:\n",
      "                role_0  role_1  role_2  role_3  role_4  role_5  role_6  role_7\n",
      "00schneemann      0.12    0.12    0.12    0.12    0.12    0.12    0.12    0.12\n",
      "0815_goes_4711    0.12    0.12    0.12    0.12    0.12    0.12    0.12    0.12\n",
      "0Murat0           0.01    0.18    0.01    0.18    0.01    0.01    0.62    0.01\n",
      "0__Punkt          0.12    0.12    0.12    0.12    0.12    0.12    0.12    0.12\n",
      "0x127001          0.01    0.18    0.01    0.18    0.01    0.01    0.62    0.01\n",
      "...                ...     ...     ...     ...     ...     ...     ...     ...\n",
      "zeuxis_cs         0.02    0.02    0.02    0.02    0.02    0.45    0.02    0.45\n",
      "zooberlin         0.12    0.12    0.12    0.12    0.12    0.12    0.12    0.12\n",
      "zukunftland       0.12    0.12    0.12    0.12    0.12    0.12    0.12    0.12\n",
      "zvw_redaktion     0.12    0.12    0.12    0.12    0.12    0.12    0.12    0.12\n",
      "zzurges           0.01    0.01    0.01    0.75    0.01    0.01    0.21    0.01\n",
      "\n",
      "[4114 rows x 8 columns]\n"
     ]
    }
   ],
   "source": [
    "# assign node roles\n",
    "g_role_extractor = RoleExtractor(n_roles=None)\n",
    "g_role_extractor.extract_role_factors(g_features)\n",
    "g_node_roles = g_role_extractor.roles\n",
    "\n",
    "print('\\ng_node_roles:')\n",
    "pprint(g_node_roles)\n",
    "\n",
    "print('\\ng_nodepercentage:')\n",
    "print(g_role_extractor.role_percentage.round(2))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 96,
   "id": "f183ef55",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Average out-degree of each role group in twitter network\n",
      "role_0:  0.0\n",
      "role_1:  0.015957446808510637\n",
      "role_2:  0.3333333333333333\n",
      "role_3:  0.0042643923240938165\n",
      "role_4:  0.0031847133757961785\n",
      "role_5:  0.007407407407407408\n",
      "role_6:  0.0019047619047619048\n",
      "role_7:  0.016891891891891893\n"
     ]
    }
   ],
   "source": [
    "print(\"Average out-degree of each role group in twitter network\")\n",
    "\n",
    "username0_list = []\n",
    "for username, role in g_node_roles.items():\n",
    "    if role == 'role_0':\n",
    "        username0_list.append(username)\n",
    "        avg0_out_degree = g.out_degree(username) / len(username0_list)\n",
    "        \n",
    "print('role_0: ', avg0_out_degree)\n",
    "\n",
    "username1_list = []\n",
    "for username, role in g_node_roles.items():\n",
    "    if role == 'role_1':\n",
    "        username1_list.append(username)\n",
    "        avg1_out_degree = g.out_degree(username) / len(username1_list)\n",
    "        \n",
    "print('role_1: ', avg1_out_degree)\n",
    "\n",
    "username2_list = []\n",
    "for username, role in g_node_roles.items():\n",
    "    if role == 'role_2':\n",
    "        username2_list.append(username)\n",
    "        avg2_out_degree = g.out_degree(username) / len(username2_list)\n",
    "        \n",
    "print('role_2: ', avg2_out_degree)\n",
    "\n",
    "username3_list = []\n",
    "for username, role in g_node_roles.items():\n",
    "    if role == 'role_3':\n",
    "        username3_list.append(username)\n",
    "        avg3_out_degree = g.out_degree(username) / len(username3_list)\n",
    "        \n",
    "print('role_3: ', avg3_out_degree)\n",
    "\n",
    "username4_list = []\n",
    "for username, role in g_node_roles.items():\n",
    "    if role == 'role_4':\n",
    "        username4_list.append(username)\n",
    "        avg4_out_degree = g.out_degree(username) / len(username4_list)\n",
    "        \n",
    "print('role_4: ', avg4_out_degree)\n",
    "\n",
    "username5_list = []\n",
    "for username, role in g_node_roles.items():\n",
    "    if role == 'role_5':\n",
    "        username5_list.append(username)\n",
    "        avg5_out_degree = g.out_degree(username) / len(username5_list)\n",
    "        \n",
    "print('role_5: ', avg5_out_degree)\n",
    "\n",
    "username6_list = []\n",
    "for username, role in g_node_roles.items():\n",
    "    if role == 'role_6':\n",
    "        username6_list.append(username)\n",
    "        avg6_out_degree = g.out_degree(username) / len(username6_list)\n",
    "        \n",
    "print('role_6: ', avg6_out_degree)\n",
    "\n",
    "username7_list = []\n",
    "for username, role in g_node_roles.items():\n",
    "    if role == 'role_7':\n",
    "        username7_list.append(username)\n",
    "        avg7_out_degree = g.out_degree(username) / len(username7_list)\n",
    "        \n",
    "print('role_7: ', avg7_out_degree)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 97,
   "id": "11b395f3",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Average in-degree of each role group in twitter network\n",
      "role_0:  0.000482392667631452\n",
      "role_1:  0.015957446808510637\n",
      "role_2:  0.043859649122807015\n",
      "role_3:  0.0\n",
      "role_4:  0.0\n",
      "role_5:  0.0\n",
      "role_6:  0.0\n",
      "role_7:  0.0033783783783783786\n"
     ]
    }
   ],
   "source": [
    "print(\"Average in-degree of each role group in twitter network\")\n",
    "\n",
    "username0_list = []\n",
    "for username, role in g_node_roles.items():\n",
    "    if role == 'role_0':\n",
    "        username0_list.append(username)\n",
    "        avg0_in_degree = g.in_degree(username) / len(username0_list)\n",
    "        \n",
    "print('role_0: ', avg0_in_degree)\n",
    "\n",
    "username1_list = []\n",
    "for username, role in g_node_roles.items():\n",
    "    if role == 'role_1':\n",
    "        username1_list.append(username)\n",
    "        avg1_in_degree = g.in_degree(username) / len(username1_list)\n",
    "        \n",
    "print('role_1: ', avg1_in_degree)\n",
    "\n",
    "username2_list = []\n",
    "for username, role in g_node_roles.items():\n",
    "    if role == 'role_2':\n",
    "        username2_list.append(username)\n",
    "        avg2_in_degree = g.in_degree(username) / len(username2_list)\n",
    "        \n",
    "print('role_2: ', avg2_in_degree)\n",
    "\n",
    "username3_list = []\n",
    "for username, role in g_node_roles.items():\n",
    "    if role == 'role_3':\n",
    "        username3_list.append(username)\n",
    "        avg3_in_degree = g.in_degree(username) / len(username3_list)\n",
    "        \n",
    "print('role_3: ', avg3_in_degree)\n",
    "\n",
    "username4_list = []\n",
    "for username, role in g_node_roles.items():\n",
    "    if role == 'role_4':\n",
    "        username4_list.append(username)\n",
    "        avg4_in_degree = g.in_degree(username) / len(username4_list)\n",
    "        \n",
    "print('role_4: ', avg4_in_degree)\n",
    "\n",
    "username5_list = []\n",
    "for username, role in g_node_roles.items():\n",
    "    if role == 'role_5':\n",
    "        username5_list.append(username)\n",
    "        avg5_in_degree = g.in_degree(username) / len(username5_list)\n",
    "        \n",
    "print('role_5: ', avg5_in_degree)\n",
    "\n",
    "username6_list = []\n",
    "for username, role in g_node_roles.items():\n",
    "    if role == 'role_6':\n",
    "        username6_list.append(username)\n",
    "        avg6_in_degree = g.in_degree(username) / len(username6_list)\n",
    "        \n",
    "print('role_6: ', avg6_in_degree)\n",
    "\n",
    "username7_list = []\n",
    "for username, role in g_node_roles.items():\n",
    "    if role == 'role_7':\n",
    "        username7_list.append(username)\n",
    "        avg7_in_degree = g.in_degree(username) / len(username7_list)\n",
    "        \n",
    "print('role_7: ', avg7_in_degree)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "cd4c9bac",
   "metadata": {},
   "outputs": [],
   "source": []
  }
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