2018-06-23_research_log.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "from main import NetworkSimulation\n",
    "import numpy as np"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Random Graph correlaiton"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 149,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "g = NetworkSimulation(graph_type='random', w = 0.2, s = 1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 154,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
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     ]
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    {
     "data": {
      "text/plain": [
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     },
     "execution_count": 154,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "g.multiple_simulations()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [],
   "source": [
    "g = NetworkSimulation(graph_type='random', w = 0.8, s = 1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
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     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
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   "source": [
    "g.multiple_simulations()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "g = NetworkSimulation(graph_type='random', w = 0.2, s = 4)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "100%|██████████| 100/100 [00:42<00:00,  2.37it/s]\n"
     ]
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     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
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   "source": [
    "g.multiple_simulations()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Dyadic Error Graph correlation, error level = 1x"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "g = NetworkSimulation(graph_type='dyadic_error', w = 0.2, s = 1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "100%|██████████| 100/100 [00:47<00:00,  2.09it/s]\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "0.97887430478309245"
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "g.multiple_simulations()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "g = NetworkSimulation(graph_type='dyadic_error', w = 0.8, s = 1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "100%|██████████| 100/100 [00:48<00:00,  2.06it/s]\n"
     ]
    },
    {
     "data": {
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       "0.97533259176863196"
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     },
     "execution_count": 23,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "g.multiple_simulations()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "g = NetworkSimulation(graph_type='dyadic_error', w = 0.2, s = 4)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "100%|██████████| 100/100 [00:48<00:00,  2.05it/s]\n"
     ]
    },
    {
     "data": {
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       "0.99466963292547261"
      ]
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     "execution_count": 25,
     "metadata": {},
     "output_type": "execute_result"
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   "source": [
    "g.multiple_simulations()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Dyadic Error Graph correlation, error level = 3x"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "g = NetworkSimulation(graph_type='dyadic_error', err_level=3, w = 0.2, s = 1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "100%|██████████| 100/100 [00:48<00:00,  2.08it/s]\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "0.87989321468298121"
      ]
     },
     "execution_count": 28,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "g.multiple_simulations()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "g = NetworkSimulation(graph_type='dyadic_error', err_level=3, w = 0.8, s = 1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "100%|██████████| 100/100 [00:47<00:00,  2.10it/s]\n"
     ]
    },
    {
     "data": {
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       "0.85208453837597331"
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     "execution_count": 30,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "g.multiple_simulations()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "g = NetworkSimulation(graph_type='dyadic_error', err_level=3, w = 0.2, s = 4)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "100%|██████████| 100/100 [00:47<00:00,  2.10it/s]\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "0.97414015572858725"
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     "execution_count": 32,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "g.multiple_simulations()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Dyadic Error Graph correlation, error level = 5x"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "g = NetworkSimulation(graph_type='dyadic_error', err_level=5, w = 0.2, s = 1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "100%|██████████| 100/100 [00:48<00:00,  2.08it/s]\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "0.76343047830923239"
      ]
     },
     "execution_count": 34,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "g.multiple_simulations()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "g = NetworkSimulation(graph_type='dyadic_error', err_level=5, w = 0.8, s = 1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "100%|██████████| 100/100 [00:48<00:00,  2.06it/s]\n"
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    {
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       "0.71530144605116808"
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     "execution_count": 36,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "g.multiple_simulations()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "g = NetworkSimulation(graph_type='dyadic_error', err_level=5, w = 0.2, s = 4)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "100%|██████████| 100/100 [00:47<00:00,  2.11it/s]\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "0.94137931034482758"
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     "execution_count": 38,
     "metadata": {},
     "output_type": "execute_result"
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   ],
   "source": [
    "g.multiple_simulations()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Collective Error Graph correlation, error level = 1x"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "metadata": {},
   "outputs": [],
   "source": [
    "g = NetworkSimulation(graph_type='collective_error', w = 0.2, s = 1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "100%|██████████| 100/100 [00:43<00:00,  2.32it/s]\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "0.73441601779755283"
      ]
     },
     "execution_count": 40,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "g.multiple_simulations()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "g = NetworkSimulation(graph_type='collective_error', w = 0.8, s = 1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "100%|██████████| 100/100 [00:43<00:00,  2.29it/s]\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "0.68978865406006673"
      ]
     },
     "execution_count": 42,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "g.multiple_simulations()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "g = NetworkSimulation(graph_type='collective_error', w = 0.2, s = 4)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "100%|██████████| 100/100 [00:42<00:00,  2.33it/s]\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "0.94538820912124588"
      ]
     },
     "execution_count": 44,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "g.multiple_simulations()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Collective Error Graph correlation, error level = 3x"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 45,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "g = NetworkSimulation(graph_type='collective_error', err_level=3, w = 0.2, s = 1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 46,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "100%|██████████| 100/100 [00:41<00:00,  2.39it/s]\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "0.37482981090100109"
      ]
     },
     "execution_count": 46,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "g.multiple_simulations()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 47,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "g = NetworkSimulation(graph_type='collective_error', err_level=3, w = 0.8, s = 1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 48,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "100%|██████████| 100/100 [00:41<00:00,  2.39it/s]\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "0.31419354838709679"
      ]
     },
     "execution_count": 48,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "g.multiple_simulations()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 49,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "g = NetworkSimulation(graph_type='collective_error', err_level=3, w = 0.2, s = 4)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 50,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "100%|██████████| 100/100 [00:41<00:00,  2.38it/s]\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "0.81802447163515002"
      ]
     },
     "execution_count": 50,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "g.multiple_simulations()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Collective Error Graph correlation, error level = 5x"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 51,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "g = NetworkSimulation(graph_type='collective_error', err_level=5, w = 0.2, s = 1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 52,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "100%|██████████| 100/100 [00:42<00:00,  2.36it/s]\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "0.18921468298109012"
      ]
     },
     "execution_count": 52,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "g.multiple_simulations()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 53,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "g = NetworkSimulation(graph_type='collective_error', err_level=5, w = 0.8, s = 1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 54,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "100%|██████████| 100/100 [00:42<00:00,  2.36it/s]\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "0.1806941045606229"
      ]
     },
     "execution_count": 54,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "g.multiple_simulations()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 55,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "g = NetworkSimulation(graph_type='collective_error', err_level=5, w = 0.2, s = 4)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 56,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "100%|██████████| 100/100 [00:42<00:00,  2.35it/s]\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "0.65528809788654074"
      ]
     },
     "execution_count": 56,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "g.multiple_simulations()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Nominal Graph correlation, 2 values"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 57,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "g = NetworkSimulation(graph_type='nominal', nominal_num=2, w = 0.2, s = 1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 58,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "100%|██████████| 100/100 [00:55<00:00,  1.79it/s]\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "0.50658954393770861"
      ]
     },
     "execution_count": 58,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "g.multiple_simulations()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 59,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "g = NetworkSimulation(graph_type='nominal', nominal_num=2, w = 0.8, s = 1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 60,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "100%|██████████| 100/100 [00:54<00:00,  1.84it/s]\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "0.51160400444938814"
      ]
     },
     "execution_count": 60,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "g.multiple_simulations()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 61,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "g = NetworkSimulation(graph_type='nominal', nominal_num=2, w = 0.2, s = 4)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 62,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "100%|██████████| 100/100 [00:55<00:00,  1.81it/s]\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "0.75355283648498339"
      ]
     },
     "execution_count": 62,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "g.multiple_simulations()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Nominal Graph correlation, 3 values"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 63,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "g = NetworkSimulation(graph_type='nominal', nominal_num=3, w = 0.2, s = 1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 64,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "100%|██████████| 100/100 [00:55<00:00,  1.82it/s]\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "0.3369744160177976"
      ]
     },
     "execution_count": 64,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "g.multiple_simulations()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 65,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "g = NetworkSimulation(graph_type='nominal', nominal_num=3, w = 0.8, s = 1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 66,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "100%|██████████| 100/100 [00:55<00:00,  1.82it/s]\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "0.30411123470522805"
      ]
     },
     "execution_count": 66,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "g.multiple_simulations()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 67,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "g = NetworkSimulation(graph_type='nominal', nominal_num=3, w = 0.2, s = 4)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 68,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "100%|██████████| 100/100 [00:55<00:00,  1.81it/s]\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "0.81648498331479402"
      ]
     },
     "execution_count": 68,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "g.multiple_simulations()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Nominal Graph correlation, 4 values"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 69,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "g = NetworkSimulation(graph_type='nominal', nominal_num=4, w = 0.2, s = 1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 70,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "100%|██████████| 100/100 [00:54<00:00,  1.84it/s]\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "0.25452280311457171"
      ]
     },
     "execution_count": 70,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "g.multiple_simulations()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 71,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "g = NetworkSimulation(graph_type='nominal', nominal_num=4, w = 0.8, s = 1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 72,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "100%|██████████| 100/100 [00:54<00:00,  1.85it/s]\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "0.26212680756395995"
      ]
     },
     "execution_count": 72,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "g.multiple_simulations()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 73,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "g = NetworkSimulation(graph_type='nominal', nominal_num=4, w = 0.2, s = 4)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 74,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "100%|██████████| 100/100 [00:53<00:00,  1.87it/s]\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "0.8374816462736373"
      ]
     },
     "execution_count": 74,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "g.multiple_simulations()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Random Graph with Self-fulfilling correlation"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 75,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "g = NetworkSimulation(graph_type='random', self_fulfilling=True, w = 0.2, s = 1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 76,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "100%|██████████| 100/100 [00:54<00:00,  1.84it/s]\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "0.3331523915461625"
      ]
     },
     "execution_count": 76,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "g.multiple_simulations()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 77,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "g = NetworkSimulation(graph_type='random', self_fulfilling=True, w = 0.8, s = 1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 78,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "100%|██████████| 100/100 [00:54<00:00,  1.84it/s]\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "0.023310344827586205"
      ]
     },
     "execution_count": 78,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "g.multiple_simulations()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 79,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "g = NetworkSimulation(graph_type='random', self_fulfilling=True, w = 0.2, s = 4)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 80,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "100%|██████████| 100/100 [00:53<00:00,  1.85it/s]\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "0.91485650723025558"
      ]
     },
     "execution_count": 80,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "g.multiple_simulations()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Random Graph with different h"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 81,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "g = NetworkSimulation(graph_type='random', h=0.8, w = 0.2, s = 1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 82,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "100%|██████████| 100/100 [00:34<00:00,  2.92it/s]\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "0.49241379310344824"
      ]
     },
     "execution_count": 82,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "g.multiple_simulations()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 83,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "g = NetworkSimulation(graph_type='random', h=0.8, w = 0.8, s = 1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 84,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "100%|██████████| 100/100 [00:34<00:00,  2.86it/s]\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "-0.017810901001112354"
      ]
     },
     "execution_count": 84,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "g.multiple_simulations()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 85,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "g = NetworkSimulation(graph_type='random', h=0.8, w = 0.2, s = 4)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 86,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "100%|██████████| 100/100 [00:36<00:00,  2.74it/s]\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "0.62030255839822024"
      ]
     },
     "execution_count": 86,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "g.multiple_simulations()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 87,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "g = NetworkSimulation(graph_type='random', h=0.5, w = 0.2, s = 1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 88,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "100%|██████████| 100/100 [00:33<00:00,  2.98it/s]\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "0.4619755283648499"
      ]
     },
     "execution_count": 88,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "g.multiple_simulations()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 89,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "g = NetworkSimulation(graph_type='random', h=0.5, w = 0.8, s = 1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 90,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "100%|██████████| 100/100 [00:33<00:00,  2.95it/s]\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "0.059862068965517226"
      ]
     },
     "execution_count": 90,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "g.multiple_simulations()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 91,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "g = NetworkSimulation(graph_type='random', h=0.5, w = 0.2, s = 4)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 92,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "100%|██████████| 100/100 [00:34<00:00,  2.90it/s]\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "0.47407341490545052"
      ]
     },
     "execution_count": 92,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "g.multiple_simulations()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 93,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "from formula import *"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 94,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "OrderedDict([('SETUP', <networkx.classes.digraph.DiGraph at 0x29a6a149a58>),\n",
       "             ('ROUND 0', <networkx.classes.digraph.DiGraph at 0x29a6a1498d0>),\n",
       "             ('ROUND 1', <networkx.classes.digraph.DiGraph at 0x29a6a1496d8>),\n",
       "             ('ROUND 2', <networkx.classes.digraph.DiGraph at 0x29a6a1495c0>),\n",
       "             ('ROUND 3', <networkx.classes.digraph.DiGraph at 0x29a6a149b00>),\n",
       "             ('ROUND 4', <networkx.classes.digraph.DiGraph at 0x29a6a149390>),\n",
       "             ('ROUND 5', <networkx.classes.digraph.DiGraph at 0x29a6a1496a0>),\n",
       "             ('ROUND 6', <networkx.classes.digraph.DiGraph at 0x29a6a149ba8>),\n",
       "             ('ROUND 7', <networkx.classes.digraph.DiGraph at 0x29a6a149860>),\n",
       "             ('ROUND 8', <networkx.classes.digraph.DiGraph at 0x29a6a149c18>),\n",
       "             ('ROUND 9', <networkx.classes.digraph.DiGraph at 0x29a6a149400>),\n",
       "             ('ROUND 10', <networkx.classes.digraph.DiGraph at 0x29a6a149748>),\n",
       "             ('ROUND 11', <networkx.classes.digraph.DiGraph at 0x29a6a149be0>),\n",
       "             ('ROUND 12', <networkx.classes.digraph.DiGraph at 0x29a6a468ef0>),\n",
       "             ('ROUND 13', <networkx.classes.digraph.DiGraph at 0x29a6a468b70>),\n",
       "             ('ROUND 14', <networkx.classes.digraph.DiGraph at 0x29a6a468630>),\n",
       "             ('ROUND 15', <networkx.classes.digraph.DiGraph at 0x29a6a468668>),\n",
       "             ('ROUND 16', <networkx.classes.digraph.DiGraph at 0x29a6a468f28>),\n",
       "             ('ROUND 17', <networkx.classes.digraph.DiGraph at 0x29a6a468f60>),\n",
       "             ('ROUND 18', <networkx.classes.digraph.DiGraph at 0x29a6a468400>),\n",
       "             ('ROUND 19',\n",
       "              <networkx.classes.digraph.DiGraph at 0x29a6a468a90>)])"
      ]
     },
     "execution_count": 94,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "g.graphs"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 98,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "==============================STATUS QUALITY REORDERING============================================>\n",
      "0.7293786082004415\n",
      "==============================STATUS QUALITY GAP===================================================>\n",
      "5.526270539288422\n",
      "==============================STATUS QUALITY REORDERING============================================>\n",
      "0.989823137033\n",
      "==============================STATUS QUALITY GAP===================================================>\n",
      "1.00614091439\n",
      "==============================STATUS QUALITY REORDERING============================================>\n",
      "0.99143796363\n",
      "==============================STATUS QUALITY GAP===================================================>\n",
      "0.935414708954\n",
      "==============================STATUS QUALITY REORDERING============================================>\n",
      "0.992074277269\n",
      "==============================STATUS QUALITY GAP===================================================>\n",
      "0.917858085261\n",
      "==============================STATUS QUALITY REORDERING============================================>\n",
      "0.992617458825\n",
      "==============================STATUS QUALITY GAP===================================================>\n",
      "0.889483758965\n",
      "==============================STATUS QUALITY REORDERING============================================>\n",
      "0.992931178823\n",
      "==============================STATUS QUALITY GAP===================================================>\n",
      "0.872009199461\n",
      "==============================STATUS QUALITY REORDERING============================================>\n",
      "0.993084197427\n",
      "==============================STATUS QUALITY GAP===================================================>\n",
      "0.863855046182\n",
      "==============================STATUS QUALITY REORDERING============================================>\n",
      "0.993379387434\n",
      "==============================STATUS QUALITY GAP===================================================>\n",
      "0.839640597108\n",
      "==============================STATUS QUALITY REORDERING============================================>\n",
      "0.993647874395\n",
      "==============================STATUS QUALITY GAP===================================================>\n",
      "0.82585081475\n",
      "==============================STATUS QUALITY REORDERING============================================>\n",
      "0.993752911091\n",
      "==============================STATUS QUALITY GAP===================================================>\n",
      "0.820887720219\n",
      "==============================STATUS QUALITY REORDERING============================================>\n",
      "0.993815564652\n",
      "==============================STATUS QUALITY GAP===================================================>\n",
      "0.81727776345\n",
      "==============================STATUS QUALITY REORDERING============================================>\n",
      "0.993887551906\n",
      "==============================STATUS QUALITY GAP===================================================>\n",
      "0.810518203847\n",
      "==============================STATUS QUALITY REORDERING============================================>\n",
      "0.99390940086\n",
      "==============================STATUS QUALITY GAP===================================================>\n",
      "0.808343632694\n",
      "==============================STATUS QUALITY REORDERING============================================>\n",
      "0.99393031414\n",
      "==============================STATUS QUALITY GAP===================================================>\n",
      "0.806037553802\n",
      "==============================STATUS QUALITY REORDERING============================================>\n",
      "0.993940348691\n",
      "==============================STATUS QUALITY GAP===================================================>\n",
      "0.805011928273\n",
      "==============================STATUS QUALITY REORDERING============================================>\n",
      "0.99394513235\n",
      "==============================STATUS QUALITY GAP===================================================>\n",
      "0.804578131714\n",
      "==============================STATUS QUALITY REORDERING============================================>\n",
      "0.993948215961\n",
      "==============================STATUS QUALITY GAP===================================================>\n",
      "0.80432742461\n",
      "==============================STATUS QUALITY REORDERING============================================>\n",
      "0.993949817137\n",
      "==============================STATUS QUALITY GAP===================================================>\n",
      "0.804201230753\n",
      "==============================STATUS QUALITY REORDERING============================================>\n",
      "0.993950855463\n",
      "==============================STATUS QUALITY GAP===================================================>\n",
      "0.804121651642\n",
      "==============================STATUS QUALITY REORDERING============================================>\n",
      "0.993951432136\n",
      "==============================STATUS QUALITY GAP===================================================>\n",
      "0.804077667229\n",
      "==============================STATUS QUALITY REORDERING============================================>\n",
      "0.993951801403\n",
      "==============================STATUS QUALITY GAP===================================================>\n",
      "0.804049724235\n",
      "==============================GINI CORRELATION=====================================================>\n",
      "0.344444442069\n"
     ]
    }
   ],
   "source": [
    "for each_graph in g.graphs:\n",
    "    print('==============================STATUS QUALITY REORDERING============================================>')\n",
    "    print(status_quality_reordering(g.graphs[each_graph]))\n",
    "    print('==============================STATUS QUALITY GAP===================================================>')\n",
    "    print(status_quality_gap(g.graphs[each_graph]))\n",
    "print('==============================GINI CORRELATION=====================================================>')\n",
    "print(gini(g.graphs['ROUND 19']))"
   ]
  }
 ],
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