From c7bf6a3690e4d2303dd4466712618d52ac4dbd50 Mon Sep 17 00:00:00 2001 From: Ziaeemehr Date: Mon, 5 Aug 2024 18:12:38 +0200 Subject: [PATCH] chap 03 figure 3.6 added. --- examples/chap_03.ipynb | 65 ++++++++++++++++++------------ netsci/datasets/sample_graphs.json | 12 +++--- 2 files changed, 46 insertions(+), 31 deletions(-) diff --git a/examples/chap_03.ipynb b/examples/chap_03.ipynb index 2b29b67..00b9298 100644 --- a/examples/chap_03.ipynb +++ b/examples/chap_03.ipynb @@ -305,7 +305,7 @@ }, { "cell_type": "code", - "execution_count": 7, + "execution_count": 4, "metadata": {}, "outputs": [ { @@ -314,7 +314,7 @@ "dict_keys(['Collaboration', 'Internet', 'PowerGrid', 'Protein', 'PhoneCalls', 'Citation', 'Metabolic', 'Email', 'WWW', 'Actor'])" ] }, - "execution_count": 7, + "execution_count": 4, "metadata": {}, "output_type": "execute_result" } @@ -329,7 +329,7 @@ }, { "cell_type": "code", - "execution_count": 8, + "execution_count": 5, "metadata": {}, "outputs": [ { @@ -358,6 +358,13 @@ "graph_info(G_collab)" ] }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Figure 3.6" + ] + }, { "cell_type": "code", "execution_count": 9, @@ -365,9 +372,9 @@ "outputs": [ { "data": { - "image/png": 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nT4u/d+Xl5eKaa65pcgLXxYsXRVVVVYP7L1q0SAAQBw4cEEIIcfbs2QbnHD58WAAQ8+bNE0KIZscyZswYq3/ff/75ZwFAPP3003b8pppmbz5gy9iKcePGAQDeffddhSPxDElJSUhISEB+fj6ioqJc0n3s7u5wh1VVAStXAmlpQN2JKePGAbNnA7fdBrRp07xrtm8PzJ0LPPQQcPCg3Mp+5x3g+HHgz38GNm6UW8tEThIWFobhw4fjvvvugxACb731Fn755RdkZGQg6HKPwOrVq/HAAw8gNjYWM2fOROvWrbFx40YcOnQIzz77LLp3727z+tnZ2Zg9ezbuvPNO9O7dG23btsWhQ4fwxhtvYNCgQbjmmmsAyGPXI0aMwLBhwxAeHo7ff/8d69atQ6tWrTB16lQA8iQvR2JRnFNSv5MlJyeLu+66S/Ts2VMAaLJ1+s4774jBgwcLf39/0bFjR3H33XeLgoICh+P497//zZaxSnhUy/iHHyxbr506CbFkiRAnTjj/XgaDEH/5i3wfSRLihRccWtJCJMSVlvHOnTvFU089Jbp16ybatGkj+vfvLzZt2tTg/G3btolRo0aJwMBAERAQIGJjY62eV79lfPLkSTFnzhzRr18/0bZtWxEYGCj69OkjnnjiCXHu3DnzeSkpKeL6668XV111lWjdurUIDw8Xd9xxh9hnpUfI3ljU1jJWZTIGIDp06CBuvPFG0b59+0YT4iuvvCIAiFGjRonXXntNPPPMM6Jjx46ia9eu4vTp0xbnVlRUiJKSEpuPmpoai/OZjNXFHd3hDqmtFSI1VQg/Pzk5hoUJsXGj3FXtStXVQjz00JXk/+CD8jGiFjIl4+zsbKVD8XgenYxP1GlB9O/f32ZCLCoqEsHBwWLw4MGius4fn9zcXCFJkkhKSrI4PzEx0aJlVf9R/4OndDJmIY2GCgsLRXZ2tsO/E6f/bgsLhbjhhisJ8dZbhfj1V+dc2x5GoxCrV18Zl771ViFKStx3f/IqTMbO49FFPyIjI+06b9u2bSgtLcWCBQvQqtWV4e+hQ4di9OjRyMrKQlVVlfn4li1bIOR/gFh9xMfHO/tHaTEW0rAuIiIC8fHxDo0TO/13u3mzvORo9255OclrrwEffQR07uzYdZtDkoBFi4B335VnYG/fDoweDZw5474YiKjFVJmM7bV//34AQFxcXIPX4uLiUFJSgmPHjjX7urW1taioqEB1dTWEEKioqEBlZaXN8ysrK1FcXGzxcIStQhp6vd6h65KTf7cXLgBTpsiPixflghzffgs88IByS43+9jfgv/8FrrpKjuX66wGDQZlYiMhuHp2MT58+DQBWW0mmYy35I7thwwYEBARgypQp+OWXXxAQEIA+ffrYPD8lJQXt2rUzP7p169bse9bV2MxhcozTfre7dwODBsmtYq0WWLoU+PJLoHdv5wXbUsOHA19/Deh0wMmT8j8O3FzAgDzbjBkzVNdb6O08Ohlfulx71VQOrS5TibNLLajPavog1n00VvhjyZIlMBgM5kdhYWGz71mXqZBGXa4qpOFrHP7dVlTI3cE33gjo9UB0NPDVV8DTT8vFOdQiMhLYskX+h8KWLcC//qV0RETUCI9OxoGXy71Z60I2VYYJdEJJuKb4+fkhJCTE4uGIiIgIpKenm0u1abVavPHGG+pcT+thHPrd/vQTMHQokJoqf//AA3JX8PDhLozYASNGAMuWyc/nzgXcXPieiOzn0ck4PDwcgPWu6Ma6sF0lLS0NMTExiI2NdfhaSUlJKCgoQHZ2NgoKCjyr7KPKteh3e+AAcN11wI8/orJ9exStXy9P1FJ7KcQnnpDLZZaVAZMny8VIiEh1PDoZm5JeTk5Og9dycnIQHByMvn37ui2euXPn4siRI8jNzXXK9Zwxc5isa9bvds8eucJVUREOAOh+4QI63XefZ8xw12qBDRvkTSUOHgT+8Q+lIyIiKzw6GU+YMAGBgYFYs2YNampqzMcPHDiAvXv3YtKkSWjT3JKDRHW99x5wyy1AaSl2A/gzgD/gYTPcIyIA0z8cnn8e2LVL2XiIqAFV1qbesGEDTp06BQA4e/YsqqqqsGLFCgBy/dF58+YBkOumJicnY+HChYiPj8e0adNQVFSE1NRUdOrUCcuXL3dr3GlpaUhLS0Ntba1b70susm6dPC5sNOKP66/HX774AnVnJ6i6NnZ9t98u/yyvvw5MmwYcPiwvfyIidXBd3ZGWGzNmjM0qWdYqYm3cuFFce+21wt/fX3To0EEkJiaKkydPuj/wy1gO08MZjUIkJ1+ppjVrligsKPCc2ti2lJUJERMj/0wTJigdDZFPsDcfSEJwAaKzFRcXo127djAYDA7PrCY3MxqBxYuvzJhesgR49llAkpCZmYk5c+agtrbWPAu7sclfer0eeXl5iI6OVk/r+fBheUZ4dbVcHGTMGKUjIvJq9uYDjx4zJnKq6mpg5swriXj1aiA52VxNqzmzsFVbznTQIOD+++Xn//wni4EQqQRbxk5Ud8z4+PHjbBl7kvJyYNIkuaa0Vgu8+SZw770tupRer4dOp7Oo9KXValFQUKCOFvLp00CvXkBlJbBjh7zHMhG5BFvGCnD20iZyk4sXgYQEORH7+wP/+U+LEzHgAeVMw8OBBx+Un//jH2wdE6kAkzH5tt9+k4tifPEFEBIitxTHj3fokh5RzvSJJ+QdpvbvBz7+WOloiHwekzH5rpMngVGjgO++Azp1AvbulXc5clBzS27q9XpkZ2e7d81yp07A/Pny83/+U564RkSKYTJ2ImeWwyQXO3xYTsQnTwI9e8qbPVx9tdMub+9kL0Unev3970DbtsChQ8D777vvvkTUACdwuQCXNqncN9/IY8QGAzBwIPDZZ0CXLm4PQxUTvZ5+Gli+HIiJkf+Bcrk1T0TOwQlcRNYcOgTcfLOciEeNAj7/XJFEDKhkotcjjwDt2wNHjshbLRKRIpiMyXccPSov47l4EYiLAz79VE5EClHFRK/QULm7GgCWLgXq1HgnIvdhMibfkJ8P3HADUFQEDBkCbN8OBAcrGpJq9q2eP1+uU52fz9YxkUKYjJ2IE7hU6pdf5ET866/AgAHyGHG7dkpHBcC+iV4un20dHAwsWCA/T093zT2IqFGcwOUCnMClIr/+CoweLbf6eveWx4g7d1Y6KrtlZmZi9uzZMBqN0Gg0SE9Pb7QMZ4udPg107y4vcTp2DOjTx/n3IPJBnMBFVFQE3HijnIh1OnkfXw9KxHq93pyIARfvoRweDtx6q/w8I8P51yeiRjEZk3e6eBG46SZ5lnDXrsCePUC3bkpH1Sxun209a5b89e23gaoq19yDiKxiMibvU1oqt/K+/VaemLR7NxAZqXRUzeb22da33iov8zp7Fti2zTX3ICKrmIzJu5SXA7fdBuzbJy9b2rkT6NtX6ahaxJ7Z1k6d3NWqlbyFJMCuaiI34wQuJ+IWigqrrATuuAP45BO5zOOuXcCwYUpH5TC9Xo/8/HxERUVZJGKXTO46eVLeXlGS5Oc9ejh2PSIfZ+8ELiZjF+BsagXU1ACJiXKN5YAAefmSEzZ9UCuXltIcN07+h8w//gE884yDkRL5Ns6mJt9RWwvMmCEn4jZt5PFOL07EgIsnd91/v/z1zTdZkYvITZiMybMJATz4ILBpkzzm+e9/yy07L+fSyV233w507AicOSN3+RORyzEZk+cSQt7oYN06QKMBNm6UJ2/5AJeW0vTzA6ZPl59zIheRW3DM2AU4Zuwm/+//AcnJ8vO33pK7qn2MrcldDjt6VN5WUauVy4l27eq8axP5EI4Zk3dLTr6SiNPSfDIRA3ILOT4+3moidmjZU79+8haTtbXA5s1OiJSIGsNk7ETcKMJNXnpJbhUDwKpVwEMPKRqOGmVmZkKn02Hs2LHQ6XTIzMxs/kUSE+Wv//mPc4MjogbYTe0C7KZ2oXXrgNmz5edPPy3vwUsWnLbsqbBQ3jxCkuQNNzp1ckG0RN6N3dTkfTZuBObMkZ8vXiwnY2rAacueunUDhg6VJ8p98IETIySi+piMyTO8/748LiyE3C29apXcYqMGmlr21Kyx5Ntvl7+yq5rIpZiMSf22bwfuvvtKcY9XXmEibkRjy56aPZZ8xx3y1927geJiF0dO5Ls4ZuwCHDN2ouxseTehigpg0iTgnXfk5TbUpPrLnlo0liyEvNHG8ePAli1XJnURkV04ZkyeLycHGD9eTsTjx8tjxkzEdqu/7KmxsWSbXdeSxK5qIjdgMiZ1+t//gFtuAcrK5PKWWVlA69ZKR+XRbI0l5+bmNt51beqq3r5d3hmLiJyOyZjU54cfgJtukscor7tObpH5+ysdlcezNpb83HPP4YknnjC3mI1GI+bMmWPZQh42DOjSBSgpAfbsUSJ0Iq/HZEzqkpcH3HgjcO4cEBsLfPwxEBSkdFReIykpCQUFBcjOzkZBQQGGDBnSdNf1mTPAhAnyi+yqJnIJJmNSj1OngBtuAH7/HRg0CPj0U4AT4Jyu7liyvV3XnwYEyC9u2ybPaicip2IydiKWw3TAmTPA2LFy1ae+fYGdO4EOHZSOyuvZ23V9x8svwxgSAvzxB/D110qGTOSVuLTJBbi0qZnOngXGjJF3CoqMBPbuBcLDlY7Kp9RdBpWXl4exY8c2OOe3G25Ap927gUcfBV54QYEoiTwPlzaRZ7hwQZ4tffQoEBEhF5dgInY7e7quW02cKH/zn//I64+JyGmYjEk5JSXy8qXvvpM3Idi9G+jRQ+mofJ6tCl4dp06Vl5edPAk0t841ETWKyZiUcekS8Ne/At98I48N79oF9O6tdFR0Wf1Z10lJSUBwMDBypHwClzgRORWTMblfZaVcSGLvXnm29I4dwIABSkdF9dSv4AUAhsuTEy999JFSYRF5JSZjcq/qarm+8Y4dQGCgXNVpyBCloyI7ZGZm4q8vvghATsaZ69YpHBGR9+BsahfgbGobamuBe+6RNxzw85MLetxwg9JRkR1Mm0xojUacBxAMYIhGg9e//hqlpaWIjo62vdkEkQ/jbGpSF6MRmD1bTsStWwPvvcdE7EFMm0xUA9h7+dgYoxEjRoywfztGIrKJyZhcTwjg4YeBN98ENBp5G8S//EXpqKgZ6i532n352A1A4zWtichuTMb1VFZWYtasWYiMjERwcDCio6Px0ksvKR2W5xICWLIEWLtW3o5v/XrgrruUjoqaqe5yJ1MyHg2gVZ1zTDWtiaj5mIzrqampQefOnbFjxw6UlJRg69atePbZZ7F161alQ/NMK1YAK1fKz197DZg2Tdl4qMVMy51e2r0b1e3aoS2AYXVe12q1iIqKUio8Io/GZFxPUFAQnnnmGURFRUGSJAwePBi33HILvvrqK6VD8zwvvgg89dSV53PmKBsPOSwiIgLxY8ei9bhxAIAbJQnAlcIgnMRF1DKqTMYpKSmYOHEiIiMjIUkSejRRlWnz5s0YMmQIAgICEBYWhsmTJ+PUqVNOiaWmpgb79u3DoEGDnHI9n/H663INYwB45hngkUeUjYec6/LkuyeHD7coDGLedpFjx0TNosqlTZIkoUOHDhg8eDAOHjyIkJAQFBQUWD137dq1mD9/PkaNGoV77rkHRUVFeOmll+Dn54fc3Fx07drVfG5lZSWqq6tt3jcgIMBcAtDkgQcewMGDB/HVV1+hTZs2dsXv80ub/vUvYPp0+fkTTwDJyfJ4MXmPvDy5YlqbNnJ98cBAZGZmYvbs2TAajdBoNEhPT5crd9Wh1+uRl5fHpVDkM+zOB0KFTpw4YX7ev39/odPprJ5XVFQkgoODxeDBg0V1dbX5eG5urpAkSSQlJVmcn5iYKADYfGRnZ1uc/8gjj4iBAweKs2fPNit+g8EgAAiDwdCs93mFrCwhNBohACEWLBDCaFQ6InIFo1GIiAj5v/Nnn4nCwkKh0Wgs/n/SarWisLDQ/JaMjAzzORqNRmRkZCj4AxC5h735QJXd1JGRkXadt23bNpSWlmLBggVo1erKvM6hQ4di9OjRyMrKQlVVlfn4li1bIISw+YiPjzefu3DhQuzYsQO7d+9GWFiY0342r/bRR8CUKfKa4qQkIDWVLWJvJUlX1onv2WNeh1xX3dnVer3e3GoGuBSKqD5VJmN77d+/HwAQFxfX4LW4uDiUlJTg2LFjzb7uggULsGvXLuzZswdXXXWVw3H6hJ075SVLNTVyQn7jDXlNMXkvUzLevdvmtoum2dVNJWsiX+fRfy1Pnz4NAFbHnkzHmvsv71OnTuGVV15Bfn6+ea1xcHAwbrnlFpvvqaysRHFxscXDp/zrX3IRj8pK4Pbb5bXE9cbeyQuNHSt/PXgQEUFBVrddNP1/2FSyJvJ1Hp2ML126BADw8/Nr8Jq/v7/FOfbS6XQQQqCiogKlpaXmxyeffGLzPSkpKWjXrp350a1bt2bd02MJASxdKk/Wqq4GJk26Uu6SvF94ONCnj/w5+Pxzq9summZXA2g0WRP5Oo9OxoGBgQDklml95eXlFue40pIlS2AwGMyPwsJCl99TcZWVwL33AsuWyd8vWQJs3ixvAEG+Y/Ro+eu+fQAst13MzMyETqcz164GYJGsExISuAyK6DKPTsbh4eEArHdFN9aF7Wx+fn4ICQmxeHi18+eBm24CNm6Uu6PXrZOXL3GM2PeMHCl/vZyMTWxN2AKA+Ph4fPbZZxaJmptMkK/z6L+esZc3Os/JyWnwWk5ODoKDg9G3b1+3xZOWloaYmBhzXF4pP1/+A7x3LxASAnzyCXD//UpHRUoZMUL+euCAPFRxWWMTtjizmqghj07GEyZMQGBgINasWYOamhrz8QMHDmDv3r2YNGmS3YU6nGHu3Lk4cuQIcnNz3XZPt8rJkRPx8eNA9+7y95fLIpKP6tMHCA0FysuBw4fNhxubsMWZ1UQNtWr6FPfbsGGDuZzl2bNnUVVVhRUrVgAAQkNDMW/ePABAWFgYkpOTsXDhQsTHx2PatGkoKipCamoqOnXqhOXLlyv2M3idrVvliVqVlcDQocCHHwKdOysdFSlNowGGDwc++wz4+mtgyBAAV3Z5mjNnDmpraxtM2NJoNBYJ2dbMalbsIp/h4uIjLTJmzBibVbKsVePauHGjuPbaa4W/v7/o0KGDSExMFCdPnnR73GvXrhX9+vUTvXv39p4KXEajEM8+K1daAoSYMEGI0lKloyI1WbpU/mxMndrgpcLCQpGdnW1RiUsIuRqXVqs1V+qyVo2LFbvIG9hbgUuVtak9ndfUpq6uBh58EDBNrnnkEeD557mGmCx99hlw881Ar17ynAI76fV65OfnIyoqqkGrV6/XQ6fTNWg9FxQUsIVMHsXefKDKbmpSgYsX5Ypau3fLXZFr1gBz5yodFanR8OHy1xMngD/+AP70J7veFhERYTOxNjauzGRM3sijJ3CpjdfMpj51Chg1Sk7EQUHABx8wEZNtoaFAv37y82++cfhyer0eZ8+eZcUu8ilMxk7kFbOpc3Plls6RI0DXrsCXX8qlLokaY2O9sb1Mlbqef/556HQ6JCYmQghhTsis2EXejt3UdMV//gNMnSovU7n6ankXJv7xI3uMHAm8+aY8o7qZ6u6DXJcQApIkISsrCyNHjmQiJq/GljHJ86RffBG48045Ed96K/DFF0zEZD9T8Y/9++Wdu+xUvwBIfUajEVdddRUTMXk9JmMn8sgx45oaYN484NFH5aT80EPAtm1A27ZKR0aeJCZGrshWVgb8+KPdb7M2UasujhOTr2AydiKPGzMuKQEmTABefVXeLH71amDtWqAVRy+omTQaYNgw+Xkzxo2tVeoy4Tgx+RImY1+l1wPXXw9s3w4EBADvvQcsWiQnZaKWME3iasa4salSV92tFZ9//nmLbRiJfAGbQL7o0CF5hvSZM0CnTnJpS0/qWid1Mo0bN3NGdVJSEhISEmwWACHyBUzGvmb7dmDSJHlsLyYG+PhjoEcPpaMib2Aq/nH8OHDuHNCxo91vbawASGNYu5q8BbupnUj1E7hefRUYP15OxDfeCHz1FRMxOU/HjkDv3vJzJxT/qM+0Flmv10Ov1+Pvf/8790Qmr8Ha1C6gutrUtbXA3/8OpKbK3993H/D660Dr1srGRd7n3nuBDRuA5cuBf/7TaZetuxZZkiRY+7PF2tWkRvbmA7aMvV1ZmVxj2pSIk5OBjAwmYnKNa6+Vv377rdMuWX8tsq32A/dEJk/GMWNv9ttvcrf0gQOAnx/w9ttAYqLSUZE3u+Ya+asTk3FTa5FNuCaZPBlbxt7qxx/lCTUHDshjebt3MxGT65mScUEBcOGCUy7Z2FpkE65JJk/nUDI+fPhwk+ds2LDBkVtQS+zaBcTFAb/8Ik+o+fpreRcmIldr3/7KpMDvvnPKJeuvRdZoNJAur4fXaDRYvHixxZrkuhO9iDyFQ8n4lltuQWFhoc3Xt2zZgvvuu8+RW3gUVcymzswEbrkFKC6Wi3rk5ADsuiN3csG4cVJSEgoKCpCdnY1Tp07hl19+MT9//vnnzS3izMxMzrAmj+TQbOp+/fpBkiR89dVXaN++vcVr7777LiZPnoyEhAR89NFHDgfqSRSZTW00Av/4B5CSIn8/daqcmP383HN/IpNnngGeegqYNg3417/cdlu9Xg+dTmcxvswZ1qQ0t8ym/vTTT3Hx4kWMHz8elZWV5uPbtm3DlClT8Oc//xnvv/++I7cge1RUAFOmXEnETz8tLy9hIiYluGASlz2sTfTiDGvyFA4lY51Oh+3bt+P777/H3XffDSEEtm/fjsTERIwaNQoffPAB2rRp46xYyZqzZ4EbbgC2bpWXK739NrB0KWtMk3JM3dRHj8pbcrqJtYleGo0GQUFBbouBqKUcnk19zTXX4L333sP27dvx17/+FXfddReGDh2Kjz76CP7+/s6IkWz56Se5HnBODhAaCuzYIRddIFJSeDgQFiYXm2nGdorOsGjRIvNEL0DeD3nEiBEcOybVc8rSphtvvBFvvvkmPv30U1x99dX49NNP+a9RV/v8c3mXnJMngZ495eL88fFKR0Uk98q4YBJXY0wTt1544QXU1tZavGY0GjFnzhxkZWVxhjWpVrOKfowdO7bR14OCglBdXY3bbrvNfEySJOzevbtl0ZF1GzfKJS2rq+WW8QcfAFddpXRURFdcey2wc6dbknH9Cl3W1NbWIjExEZIk4dFHH8XDDz/MSV2kKs1KxidPnjSv77OmY8eOOHfuHM6dO+dwYGSFEHLN36VL5e8nTpTHiAMCFA2LqAE3TuKyt0IXIJfSfOGFF/Diiy8iPT2d+yWTanCjCCdKS0tDWloaamtrcfz4cecubaqsBGbNkmdJA8Djj8t1ppuoTESkiGPHgH79gMBAec17nXFcZ7O2pEmSJGg0mgZd1nVx2RO5g71Lm5ySjMvLy5GdnY0TJ05AkiT06tUL8fHxCPDRFpvT1xmfPw/87W/yOLFWC7z2mpyYidSqthYICQEuXQKOHJETswtlZmZizpw5qK2tNZfGTEhIwL59+5CYmGhzc4ns7GzEc64FuZC9+cDhjSLeeustPProozAYDOYPvCRJCA0NxerVqzFjxgxHb+HbTpwA/vIXeeZ0SAjw7rvAuHFKR0XUOK0WuPpqeWLhoUMuT8ZJSUlISEhAfn4+oqKizK3diRMnori42OqYMjeWIDVxKBlv3rwZSUlJ6N69Ox577DHExMRACIEjR47g9ddfR1JSEgICApDoqxsUfPcdEBzc8vefPg3MnAkUFQHdugHbtwMDBjgvPiJXuvZaORl/+y0webLLbxcREWG1y9mUqF9++WWkpqZatJ7ZRU1q4VA39aBBg1BTU4Ovv/66QfPbYDBg+PDhaNOmjV0bSngTc7cEAKeMGA8ZAnz4IdClizOuRuQe69YBs2cDN94oz6xWAb1eb9F61uv1yMvLQ3R0NBMzuYRbuqmPHz+OZ555xuoN2rVrh5kzZ2KpaeavL+rcufEJVvZUyRo3Dli7FuC6bfI0ddcaC6GKqnB1W8+ZmZnm7muNRsPZ1aQoh5Jx586dbU6MAORSdJ06dXLkFp7NNM5L5IsGDJDHjs+dA/R6eahFJeqvTTYVBklISGALmRTh0LqYGTNmYP369SgtLW3wWnFxMd58803MnDnTkVsQkafy9wf69JGf//CDsrHUk5OTw00lSFUcahlff/31+OijjzBw4EA89NBD6Nu3LyRJwpEjR/Daa68hLCwM119/Pfbu3WvxvtGjRzsUNBF5iP795aVNP/4o77OtApmZmZhlZWmgaXY1x5FJCQ5N4Kq/Q4qpOlfdS9at2CWEgCRJjS7E9waK7GdMpEbLlskV42bOBN58U+lorBYIAWCeXQ2A48jkVG6ZwPXWW2858nYi8nb9+8tf3bx7ky22Smdu3rwZI0eOtEjUHEcmd3IoGU+fPt1ZcXiFuuUwiQhATIz89cgRVcyoNu15XDcha7VajBw50mqirq2txb59+xAWFsZua3IpFjZ2orlz5+LIkSPIzc1VOhQidYiOBlq3BkpLgcJCpaNBREQE0tPTzXse1+2ePnv2bIONcDQaDRITEzF27FjodDrui0wuw2RMRK7TujXQu7f8XCVd1UlJSSgoKEB2djYKCgoAADqdzlwp0JSQtVothBDmOTCmbmvuiUyuwGRMRK5l6qpWSTIG5BayaYOIuuuNTZNMs7Ky8M477zSoo8DlT+QqTMZE5FqmSVxHjigbhxXWxomNRiP279+PuLi4BitGuLkEuQqTMRG5lspmVNdlmtBV34svvggAVseXOYmLXIHJmIhcq/6MahWJiIjAokWLGhw3Go3Iz89vML7MNcfkKg4V/SDrWPSDqI7qanmjk+pq4NQpoHt3pSOyoNfr0b17d4vxYa1Wi4KCAraCyWH25gO2jInItVQ4o7quiIgIrFu3zupyp+zsbOj1euj1evNzIldgMiYi11PhjOq6bC13Gjt2LLp3747u3btzrTG5FJOxFQ899BC6deuGkJAQhIeHY+HChaiqqlI6LCLPpeJJXCaNLXfiWmNyNSZjK+bNm4djx46huLgYhw4dwnfffYfk5GSlwyLyXCpe3lSfrfrVJlxrTK7AZGxFTEwMgoKCAMjl8Fq1aoW8vDyFoyLyYCqeUV2freVOJlqtFkFBQRxDJqdSZTJOSUnBxIkTERkZCUmS0KNHj0bP37x5M4YMGYKAgACEhYVh8uTJOHXqlEMxPPfcc2jbti3CwsLwv//9DwsWLHDoekQ+rW6N6l9+UTqaRtWvX63RaCxKZN5zzz0YMWIEx5DJqVS5tEmSJHTo0AGDBw/GwYMHERISYp5UUd/atWsxf/58jBo1Cvfccw+Kiorw0ksvwc/PD7m5uejatav53MrKSlRXV9u8b0BAgPl/QJOjR49i48aNePDBB+1e5sClTURWDBggjxlv3w7ccovS0TRJr9cjPz/fXHErPz8fQUFBGDFiRINdn7gMimyxOx8IFTpx4oT5ef/+/YVOp7N6XlFRkQgODhaDBw8W1dXV5uO5ublCkiSRlJRkcX5iYqIAYPORnZ1t9T5bt24V8fHxdsdvMBgEAGEwGOx+D5HXmzhRCECI559XOpIW27NnT7P+dhDZmw9U2U0dGRlp13nbtm1DaWkpFixYgFatrmzNPHToUIwePRpZWVkWs6C3bNlinhlp7WGaSVlfbW0tjh8/7tDPROTzPGBGdVOsjSfXr1fNNcnUEqpMxvbav38/ACAuLq7Ba3FxcSgpKcGxY8eadU2DwYD169fj4sWLEELg+++/xzPPPINbGulWq6ysRHFxscWDiOoxTeI6elTZOBy0aNEic0LWarVISUlBXl4e9Ho9XnjhBfP6ZI4nU3O0avoU9Tp9+jQAWB2rMR3T6/UYNGiQ3deUJAkbN27EokWLUFVVhT/96U+46667sHTpUpvvSUlJwbJly5oXPJGv6dNH/uqhKxMyMzPN6481Gg0WL16MTp064fHHH7e6FMq0JjkhIYHjydQkj07Gly5dAgD4+fk1eM3f39/iHHuFhIRg165dzXrPkiVLLIrNFxcXo1u3bs26BpHXM3Xlnj8PnDsHdOyobDzNoNfrLQqBGI1GpKamwmg0NtjzuC7TmmQmY2qKR3dTBwYGApC7iesrLy+3OMeV/Pz8EBISYvEgonoCAwHTP1I9bA6GtUIgtbW1jSZiQF4Wxf2PyR4enYzDw8MBwOpEica6sF0lLS0NMTExiI2Ndds9iTyKacMID0vGtiZumdYf27Jy5Uq2iskuHp2MTUkvJyenwWs5OTkIDg5G37593RbP3LlzceTIEeTm5rrtnkQeJTpa/uphybh+IRCtVovnnnsOjz76qDlJ1y0OotFosGrVKixevFixmMmzePSY8YQJE7BgwQKsWbMGU6dONS9vOnDgAPbu3YuZM2eiTZs2CkdJRGYe2jIG5J2dEhISkJ+fj9zcXPPELdNkrocffhgAzIVC2CKm5lBlBa4NGzaYy1m+8sorqKqqwqOPPgoACA0Nxbx588znvvzyy1i4cCFGjRqFadOmoaioCKmpqWjdujUOHDhg7sp2h7S0NKSlpZnXJbMCF1E9H38M/PWvwNVXA4cOKR1Ni+j1euh0OrurcOn1euTl5SE6OpoJ2gd5dAWuMWPG2KySZa0a18aNG8W1114r/P39RYcOHURiYqI4efKk+wO/jBW4iGw4flyuwhUYKERtrdLRtIitKlwvvviiKCwstDg3IyNDaDQaAUBoNBrxvAdXH6OWsTcfqLJl7OlYm5rIhupqeVZ1TQ1QWAh4YEvRWsvYRKPRID09HUlJSTbPW7VqFf7+97+7K1xSmL35wKMncBGRh2ndGjCVu/XAcWOg4WSuukyFPkxd09YS9hNPPMFSmdQAk7ETcWkTkR08dEZ1XUlJSSgoKMCLL77Y4DVToQ9b+yIbjUbk5+e7I0zyIEzGTsSlTUR28OAZ1XVFRERg4sSJNjeOiIiIwMqVKxu8T6PRICgoyF1hkodgMiYi9zIlYw+tUV2XtfXHb7zxhnnW9OLFi7Fq1SqLhG00GjFixAhuIkEWOIHLBTiBi6gRe/YAN9wgJ+WfflI6GqfQ6/UW64vrL2fKzc3FiBEj7F4ORd7D3nzg0UU/1KbuOmMissHUMj55Up5d3bq1svE4QUREhDmp1t/dKT09HZGRkVZrW3MTCTJhy9gF2DImaoTRCLRtC1y6JI8bmyZ0eQFbBUH27dvHlrGP4tImIlInjcYrZlRbY2t3p7KyMqSnpzcYO/7ss8/cHSKpFJMxEbmflyZjW7s7RUVFISEhwWLLRSGEeU0yEZMxEbmfF82orqux2dV5eXkN9j82jRsTcQKXE3ECF5GdvGStsTV1d3equ3uTqdVcf9w4KipKqVBJRdgydiIW/SCykxcnY0BuIcfHx1tMzqrfapYkCffff79SIZLKMBkTkfuZknFhoTyr2kckJSXhueeegyRJEELgjTfeQPfu3VkAhLi0yRW4tInIDh06ABcuAIcPAwMHKh2NW9jayUmj0eDUqVNc5uSFWPSDiNQtMhI4eBD4+WevTcb1K3HZ2snJaDRi3bp16N+/P3r27InS0lLze8g3MBkTkTJMyfjkSaUjcQlrlbgSEhIaTOIyWb58ucX3dfdGJu/HMWMn4haKRM1g2tfYC5OxXq83J2Lgyj7HABoU/7Cl7t7I5P2YjJ2Is6mJmsGLk7GtSlz5+flISkrCqVOnkJWVhaeeeqrR69TW1mLfvn3Q6/XIyspCVlaWXclZr9cjOzubidyDcAKXC3ACF5Eddu0Cxo0DYmKAH39UOhqnslWjun4talsTuuoyzbyu+/26detsdl9b6x5nV7dyWJuaiNStZ0/568mTgJe1CZra57j+eY11W9dvLzVWRtNW9zhbyOrHCVxEpIzu3eVNIyoqgN9+A7p0UToip7JViasuvV6PyMhIfP311ygoKMC5c+dw7NgxvPzyy41e29b2i411j3NmtroxGRORMlq3lhNyQYHcOvayZAxY7nNcX/3u5GnTpmHDhg2Ndlmb2CqjyZKbnovd1ESkHC+exNUYa93Jb7/9tl2JWKPRWO3yBuzvHif1YcuYiJQTGQns2eNzydhW8Q9bsrKyzM9HjhzZaHK1p3uc1IfJ2Im4axNRM/loy9had7ItWq22yQRcX2Pd46RO7KZ2Iq4zJmomUzL++Wdl43Aza93J06dPN39vYqub2dY6Yq4v9lxcZ+wCXGdMZKf9+4Hhw4HwcMAHE4her7foTjZ9HxQUhLKyMqvdzLbWEXN9sTrZmw+YjF2AyZjITkVFwFVXyc/LywF/f2XjUTlbxUT27duHESNGNFlkhNyPRT+ISP06dgTatpWfFxQoGoonsLWO+Msvv7S5vpg8A5MxESlHknx2EldLmCZ+1aXVanHddddBkqQGx7m+2HMwGRORspiM7WZrHfHhw4cbnGs0GvHZZ5+5O0RqIS5tIiJlMRk3S/11xACg0+ls1rBOSEjguLEHYDImImUxGTdb3XXE2dnZNtcrsy6152A3NREpy0fXGjuLtXFkE44bew4mYydKS0tDTEwMYmNjlQ6FyHN48VaK7lB/HNmEdak9C9cZuwDXGRM1Q0UFEBgoJ+I//riy7pga0Ov1yMvLQ3R0tEWS1ev1yMnJgSRJ6NGjh82CIfXfX/d7AFavTY6xOx8IcjqDwSAACIPBoHQoRJ4hIkIIQIivv1Y6EtXKyMgQGo1GABAajUZkZGQ0eryp90+fPt38vSRJQpKkJq9BzWdvPmDL2AXYMiZqpjFjgL17gXfeASZPVjoa1XG08pa19zeG1buchxW4iMhz6HTy119+UTYOlXK08lZzt2xk9S73YzImIuV17y5/PXVK2ThUqrHKW9aO159B3diMa2s4C9v9mIyJSHlsGTfKVuWt2NhYq8frdy83tWWjJEnmZM1Z2MrgmLELcMyYqJl27AASEoABA4Dvv1c6GtWqv+ViU8eben/d7wHYdQ1qHm6hqCAmY6JmOnYM6NdP3sHJYJA3kCDyAvbmA5bDJCLlmcaMS0rkZBwaqmg4amJrbXFT55iOBQcHo7S01PzV2nUaW7/Mtcdu4vJFVj6I64yJWiAsTF5rfOiQ0pGohj1riK2dU/dY/Uf96zi6fpkax3XGTlBeXo6BAwfit99+Q2lpqd3vYzc1UQsMHQocPAh88AEwfrzS0SjO1triuut/rZ1jmojV2FIm03UAOLR+mZrGdcZO8NRTT0FnmuVJRK7F5U0WbK0trrv+19o5RqOxyTXFpus4un6ZnIfJ2IaDBw/ik08+weOPP650KES+wfQPXyZjALbXFtdd/2vtHI1G0+SaYtN1HF2/TM6jymSckpKCiRMnIjIy0lz4vDGbN2/GkCFDEBAQgLCwMEyePBmnHPgfuqamBrNmzcKrr76KNm3atPg6RNQMXGtswdba4rrdxNbOSU9Pt7qLk0nd6zi6fpmcR5VjxpIkoUOHDhg8eDAOHjyIkJAQ8/hGfWvXrsX8+fMxatQo3HPPPSgqKsJLL70EPz8/5ObmomvXruZzKysrUV1dbfO+AQEB0Gq1SElJQX5+PjIzM/Hf//4Xf/3rXzlmTORq778P3HknMHw48PXXSkejGvasIbZ2julYUFAQysrKzF9t7ebkyPplss2j1xmfPHkSkZc3HB8wYABKS0utJuNz586hR48e6N27N7755hu0aiWv1Dpw4ACGDRuG++67DxkZGebz7777bmzdutXmfbOzsxEREYEbbrgB3377LTp06MBkTOQuBw/Kk7i6dAHOnFE6GiKn8OgJXKZE3JRt27ahtLQUCxYsMCdiABg6dChGjx6NrKwsVFVVmY9v2bIFQgibj/j4eHz55Zf4/fff0bt3b4SFhWHChAkoKytDWFgY9u7d6/SflYguM03g+vVXoLJS2ViI3EyVydhe+/fvBwDExcU1eC0uLg4lJSU4duxYs645adIk5Ofn49ChQzh06BAyMjIQGBiIQ4cOYfjw4VbfU1lZieLiYosHETVTWBgQECA/LyxUNhYiN/PoZHz69GkAsDqWUXfcpDkCAwPNExsiIiJw1VVXQZIkREREwM/Pz+p7UlJS0K5dO/OjW7duzfxJiAiSdKV1zElc5GM8uhzmpUuXAMBqkvT397c4p6Xi4+ObHC9esmQJFi1aZP6+uLiYCZmoJXQ64KefuLypEfXLXNpTqlKv1yMnJweA3Gv466+/4osvvkDv3r0RFBRkUTLz559/xrlz59CxY0fExcU1a+IWy2e2nEcn48DAQAByN3GAqXvrsvLycotzXMnPz89mq5mImoHLmxqVmZmJ2bNnN6i4lZ6ejqSkJJvvmTVrFloyV1eSJKxbt87mtW3F1lRM1JBHd1OHh4cDsN4V3VgXtqukpaUhJiYGsbGxbrsnkVdhFS6b9Hp9g0QMyBW35syZY/XvoF6vb3EiBgAhBGbPnt3kcF/92BqLiazz6GRsSnqm7pe6cnJyEBwcjL59+7otnrlz5+LIkSPIzc112z2JvApbxjZZK11pYqtUZV5eXosTsYnRaGyyDKY9pTupcR6djCdMmIDAwECsWbMGNTU15uMHDhzA3r17MWnSJFbQIvIkbBnbZK10pYmtUpXR0dGQHNwbWqPRNFkG057SndQ4VY4Zb9iwwVzO8uzZs6iqqsKKFSsAAKGhoZg3bx4AICwsDMnJyVi4cCHi4+Mxbdo0FBUVITU1FZ06dcLy5cvdGndaWhrS0tJQW1vr1vsSeY26LWOjEWiixrIvMZWunDNnjsXfmMZKVUZERGDdunUOjRmnp6c3OdxXPzaWz2w+VVbgio+Px+eff271NZ1O16Aa16ZNm7B69WocPXoUgYGBGDduHFJSUtCzZ083RNsQK3ARtVB1NeDvLyfiX38FOndWOiLVqV/m0p5SlXq9Hvv27QMAjBw5Er/++iu++uorREVFITg42KJkZkFBgXk29ciRI5s9m5rlMy15dDlMT8dkTOSAbt0AvV6uT22j0A6Rp/DocphE5MO4lSL5ICZjJ+LSJiInMBXM4bIY8iFMxk7EpU1ETmAaa2QyJh/CZExE6sJkTD6IyZiI1IXJmHwQk7ETccyYyAlMyfhySVsiX8ClTS7ApU1EDtDr5UlcrVoBFRWAVqt0REQtxqVNROSZOneWK2/V1AB//KF0NERuwWRMROrSqhXQpYv8nOPG5COYjIlIfTiJi3yMKjeK8FTcKILISSIigG++8flJXHq9Hnl5eYiOjrZa61mv15u3kI2Li7M4p7HX6l47ODgYpaWlFveo+9qBAwfw66+/YtiwYQgKCkJwcDB+/vlni+vm5ubiww8/RJcuXTB06FD8/PPPOHfuHACgY8eOiIuLA4AG9zMdM927sZjq/z5svdfW76q5v+OWXq/FBDmdwWAQAITBYFA6FCLPtGCBEIAQjz+udCSKycjIEBqNRgAQGo1GZGRkNHhdkiQBQAAQkiSZz2nstfrXNj1M97D2mq2HJEkiLi7OrvPqxlP/mEajEdOnT7cZU/2YG3uvtd9Vc3/HTf3um8PefMBk7AJMxkQOWrVKTsZTpyodiSIKCwsbJCatVisKCwttvm5KHPv372+Q+Oq+39Z7TedYe6+SD61WK/bv32/3PxDq/66a+zu2di97rmeLvfmAY8ZEpD4+Pmacl5cHo9Focay2thb5+fk2XwcAo9GIL7/80urexab323qv6Rxr71VSbW0tvvzyS5sx23qP6Xdli63fsbV72XM9R3HMmIjUx8cLf0RHR0Oj0VgkBa1Wi6ioKJuvA4BGo8F1110HSZIaJNW677f2XtM5RqNRVQlZq9XiuuuusxmzrfeYflZbbP2Ord3Lnus5ii1jIlKfui1jFSUGd4mIiEB6ejq0lwueaLVavPHGG+aJRKbXNZorf8IlSUJ6ejpiY2Oxbt06SJJkfk2j0ZjfX//aJqZ7rFu3rsFrtkiSZJ6c1dR5deMxxWQ6ptVqMX36dJsxxcbGWsQsSZL5Z6//3vq/K1ts/Y7r38ve6zmKFbicqO5s6uPHj7MCF1FLVVYC/v7y86IioGNHZeNRiF6vR35+PqKiomzOpt63bx8AYOTIkQ1mA9t6re61g4KCUFZWZnGPuq8dPHgQv/32G4YOHYrg4GAEBQWhoKDA4rq5ubn4+OOP0blzZwwZMgQFBQUWs6lHjhwJAA3uZzpmundjMdX/fdh6r63fVXN/xy29Xn32VuBiMnYBlsMkcoI//Qk4exY4dAi4+mqloyFqEZbDJCLP5uOTuMi3MBkTkTr5+CQu8i1MxkSkTmwZkw9hMiYidWIyJh/CZExE6hQeLn9lMiYfwGTsRGlpaYiJiUFsbKzSoRB5PraMyYdwaZMLcGkTkRP89BPQty8QEgIYDEpHQ9QiXNpERJ7N1E1dXCw/iLwYkzERqVNwMBAaKj/n8ibyckzGRKRenMRFPoLJmIjUy5SMz5xRNg4iF2MyJiL16tJF/vrrr8rGQeRiTMZEpF5du8pf2TImL8dkTETqxZYx+QgmYyJSL7aMyUcwGRORerFlTD6CydiJWA6TyMlMyfjMGYDFAsmLsRymC7AcJpGTVFQAAQHy8/PngfbtlY2HqJlYDpOIPJ+//5UEzHFj8mJMxkSkbqZJXBw3Ji/GZExE6lZ33JjISzEZE5G6sWVMPoDJmIjUjcubyAcwGRORurHwB/kAJmMiUje2jMkHMBkTkbpxAhf5ACZjK2bMmIE2bdogODjY/Pj000+VDovIN9WdwMUaReSlmIxtmD17NkpLS82Pm2++WemQiHyTqWVcXg4YDMrGQuQiTMZEpG4BAUBoqPyc48bkpVSZjFNSUjBx4kRERkZCkiT06NGj0fM3b96MIUOGICAgAGFhYZg8eTJOnTrlUAybNm1Chw4d0K9fPzz77LOoqalx6HpE5ACOG5OXU2UyfvLJJ7Fnzx706tUL7ZsoDL927VpMmTIFAQEBSE1NxcKFC7Fz507ExcXhTL3/cSsrKy26nus/amtrAQALFizATz/9hKKiImzYsAHr16/HsmXLXPbzElETWPiDvJ1QoRMnTpif9+/fX+h0OqvnFRUVieDgYDF48GBRXV1tPp6bmyskSRJJSUkW5ycmJgoANh/Z2dlW77Np0yYRFRVld/wGg0EAEAaDwe73EFEj7rlHCECIlSuVjoSoWezNB6psGUdGRtp13rZt21BaWooFCxagVatW5uNDhw7F6NGjkZWVhaqqKvPxLVu2QAhh8xEfH2/1PhqNBoKzOImUw5YxeTlVJmN77d+/HwAQFxfX4LW4uDiUlJTg2LFjzb7u1q1bYTAYIITA4cOHsWzZMtx5550Ox0tELcQxY/JyrZo+Rb1Onz4NAIiIiGjwmumYXq/HoEGDmnXdV199FQ888ACqq6vRpUsXTJ06FU8++aTN8ysrK1FZWWn+3nB5+UVxcXGz7ktENphmUxcWAvz/ijyIKQ801bvq0cn40qVLAAA/P78Gr/n7+1uc0xyff/55s85PSUmxOsGrW7duzb43ETVi3z6gXTuloyBqtpKSErRr5LPr0ck4MDAQgNwyDQgIsHitvLzc4hxXWrJkCRYtWmT+3mg04vz58+jYsSMkSQIAxMbGIjc31+r7bb1WXFyMbt26obCwECEhIa4J3oka+xnVeJ+WXqc577P33KbO4+dHfffh50dd1Pr5EUKgpKQEXU3zHmzw6GQcHh4OQO6Kjo6OtnitsS5sZ/Pz82vQOg81datdptVqbX6gG3sNAEJCQjzif4amfg613ael12nO++w9t6nz+PlR3334+VEXNX9+GmsRm3j0BK7Y2FgAQE5OToPXcnJyEBwcjL59+7o7LKvmzp3botc8ibt+Dmfdp6XXac777D23qfP4+VHfffj5URdP+/zUJwmVr9kZMGAASktLUVBQ0OC1oqIi6HQ69O3bF9988415edOBAwcwbNgwzJw5E5mZmW6O2HmKi4vRrl07GAwGj/iXKakLPz/kCH5+3EuV3dQbNmwwl7M8e/YsqqqqsGLFCgBy9++8efMAAGFhYUhOTsbChQsRHx+PadOmoaioCKmpqejUqROWL1+u2M/gDH5+fnj66aetTlAjago/P+QIfn7cS5Ut4/j4eJszmnU6XYNW8qZNm7B69WocPXoUgYGBGDduHFJSUtCzZ083REtEROQYVSZjIiIiX+LRE7iIiIi8AZOxF6ipqcHDDz+MDh06IDQ0FElJSaioqFA6LPIQWVlZuO666xAcHNzkdqVEdVVWVmLWrFmIjIxEcHAwoqOj8dJLLykdlkdiMvYCycnJyM7Oxvfff4+8vDwcOXIEjz32mNJhkYdo37495s+f7/ETHsn9ampq0LlzZ+zYsQMlJSXYunUrnn32WWzdulXp0DwOx4y9QPfu3bFq1SrcfffdAIDPPvsMkyZNwvnz56HVahWOjjzFu+++i8WLF1tdRkhkr3vvvRehoaFYs2aN0qF4FLaM3SglJQUTJ05EZGQkJElqsktw8+bNGDJkCAICAhAWFobJkyebl3yZXLx4EYWFhbjmmmvMxwYPHozi4mL+UfUyrvj8kO9wx+enpqYG+/bta/bmPMRk7FZPPvkk9uzZg169eqF9+/aNnrt27VpMmTIFAQEBSE1NxcKFC7Fz507ExcXhTJ1t5EpKSgBYlt80PTe9Rt7BFZ8f8h3u+PzMmzcPoaGhuPfee50dvvcT5DYnTpwwP+/fv7/Q6XRWzysqKhLBwcFi8ODBorq62nw8NzdXSJIkkpKSzMcuXLggAIhjx46Zj/3xxx8CgMjPz3f+D0GKccXnp65///vfNq9Jns/Vn59HHnlEDBw4UJw9e9apcfsKtozdKDIy0q7ztm3bhtLSUixYsMBc4hMAhg4ditGjRyMrKwtVVVUA5FZwt27dcOjQIfN53377Ldq2bcuZsV7GFZ8f8h2u/PwsXLgQO3bswO7duxEWFubUuH0Fk7EK7d+/HwAQFxfX4LW4uDiUlJTg2LFj5mP3338/kpOTcebMGZw9exZLly7FjBkzOHnLRzX381NbW4uKigpUV1dDCIGKigpUVla6LV5Sl+Z+fhYsWIBdu3Zhz549uOqqq9wWp7dhMlahxrZ/NB3T6/XmY08++STGjBmD/v37IyoqCv369cPKlSvdEyypTnM/Pxs2bEBAQACmTJmCX375BQEBAejTp497giXVac7n59SpU3jllVeQn59vXmscHByMW265xX0BewlVbhTh6y5dugQAVgu0+/v7W5wDAK1atcKaNWu4lIAANP/zM2PGDMyYMcMtsZH6Nefzo9PpILg61inYMlahwMBAALDaVVheXm5xDlF9/PyQI/j5UQaTsQqFh4cDsOxKNGmsC4kI4OeHHMPPjzKYjFUoNjYWAJCTk9PgtZycHAQHB6Nv377uDos8BD8/5Ah+fpTBZKxCEyZMQGBgINasWYOamhrz8QMHDmDv3r2YNGkS2rRpo2CEpGb8/JAj+PlRBmtTu9GGDRvM5eReeeUVVFVV4dFHHwUgrxeeN2+e+dyXX34ZCxcuxKhRozBt2jQUFRUhNTUVrVu3xoEDB8xdSeQ7+PkhR/Dzo3LK1hzxLWPGjBEArD6sVcPZuHGjuPbaa4W/v7/o0KGDSExMFCdPnnR/4KQK/PyQI/j5UTe2jImIiBTGMWMiIiKFMRkTEREpjMmYiIhIYUzGRERECmMyJiIiUhiTMRERkcKYjImIiBTGZExERKQwJmMiIiKFMRkTkdOsX78ekiThv//9r9KhEHkUJmMiIiKFMRkTEREpjMmYiIhIYUzGRORyzz33HCRJwty5c2E0GpUOh0h1mIyJyGWMRiPmzZuHJUuWYMWKFUhLS4NGwz87RPW1UjoAIvJOFRUVmDJlCj788EOsX78e06dPVzokItViMiYipzt//jxuvPFGfPfdd/jwww9x8803Kx0SkaoxGROR082YMQOlpaXYu3cvrrvuOqXDIVI9Dt4QkdMlJiZCo9Fg+fLlKC8vVzocItVjMiYip5s6dSo2bdqE7Oxs/OUvf0FZWZnSIRGpGpMxEblEYmIitm7dii+//BI333wzSkpKlA6JSLWYjInIZf72t7/hvffeQ25uLhISEmAwGJQOiUiVmIyJyKXGjx+P//u//8O3336LcePG4cKFC0qHRKQ6khBCKB0EERGRL2PLmIiISGFMxkRERApjMiYiIlIYkzEREZHCmIyJiIgUxmRMRESkMCZjIiIihTEZExERKYzJmIiISGFMxkRERApjMiYiIlIYkzEREZHCmIyJiIgU9v8BlJ2an2w8mhAAAAAASUVORK5CYII=", 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", "text/plain": [ - "
" + "
" ] }, "metadata": {}, @@ -375,28 +382,36 @@ } ], "source": [ - "# plot pk versus k \n", - "\n", - "from collections import Counter\n", - "degrees = [G_collab.degree(n) for n in G_collab.nodes()]\n", - "degree_count = Counter(degrees)\n", - "k, pk = zip(*degree_count.items())\n", - "k = np.array(k)\n", - "pk = np.array(pk)/sum(pk)\n", - "\n", - "plt.figure(figsize=(5,4))\n", - "plt.loglog(k, pk, 'k.', label='real')\n", - "plt.xlabel(\"k\")\n", - "plt.ylabel(\"pk\");\n", - "\n", - "# add poisson distribution to graph\n", "from scipy.stats import poisson\n", + "from collections import Counter\n", "\n", - "k = np.arange(0, max(degrees)+1)\n", - "pk_poisson = poisson.pmf(k, np.mean(degrees))\n", - "plt.loglog(k, pk_poisson, 'r', label='poisson')\n", - "plt.ylim([1e-5, 1])\n", - "plt.legend(frameon=False);\n" + "fig, ax = plt.subplots(1,3, figsize=(15,4))\n", + "\n", + "c = 0\n", + "for net in [\"Internet\", \"Collaboration\", \"Protein\"]:\n", + " G = load_sample_graph(net)\n", + " degrees = [G.degree(n) for n in G.nodes()]\n", + " degree_count = Counter(degrees)\n", + " k, pk = zip(*degree_count.items())\n", + " k = np.array(k)\n", + " pk = np.array(pk)/sum(pk)\n", + "\n", + "\n", + " ax[c].loglog(k, pk, 'k.', label='real')\n", + " ax[c].set_xlabel(\"k\")\n", + " ax[c].set_ylabel(\"pk\");\n", + " ymin, ymax = np.min(pk)*0.9, np.max(pk)*1.1\n", + "\n", + " # add poisson distribution to graph\n", + "\n", + " k = np.arange(0, max(degrees)+1)\n", + " pk_poisson = poisson.pmf(k, np.mean(degrees))\n", + " ax[c].loglog(k, pk_poisson, 'r', label='poisson')\n", + " # plt.ylim([1e-5, 1])\n", + " ax[c].legend(frameon=False);\n", + " ax[c].set_ylim([ymin, ymax])\n", + " ax[c].set_title(net)\n", + " c += 1\n" ] }, { diff --git a/netsci/datasets/sample_graphs.json b/netsci/datasets/sample_graphs.json index 64f6ae1..15e11cf 100644 --- a/netsci/datasets/sample_graphs.json +++ b/netsci/datasets/sample_graphs.json @@ -10,7 +10,7 @@ "Internet": { "filename": "internet.edgelist.txt", "url": "https://networksciencebook.com/translations/en/resources/networks.zip", - "description": "Network of routers connected to each other compiled by the Center for Applied Internet Data Analysis (CAIDA). Nodes are routers, and they are connected if they are directly connected via cables. For details of the non-trivial task of collecting the data see the reference. Ref: http://www.caida.org/tools/measurement/skitter/router_topology/", + "description": "Network of routers connected to each other compiled by the Center for \n Applied Internet Data Analysis (CAIDA). Nodes are routers, and they are connected if \n they are directly connected via cables. For details of the non-trivial task of \n collecting the data see the reference. Ref: http://www.caida.org/tools/measurement/skitter/router_topology/", "directed": false, "statistics": {}, "function": "TOTDO add a function to load the file and make the graph" @@ -18,7 +18,7 @@ "PowerGrid":{ "filename": "powergrid.edgelist.txt", "url": "https://networksciencebook.com/translations/en/resources/networks.zip", - "description": "Network representing the Western States Power Grid of the United States. Each node is a power plant, transformer or consumer, and two nodes are connected if they are physically connected via a cable. Ref: Watts, D. J., & Strogatz, S. H. (1998). Collective dynamics of ‘small-world’ networks. nature, 393(6684), 440-442.", + "description": "Network representing the Western States Power Grid of the United States.\n Each node is a power plant, transformer or consumer, and two nodes are connected if \n they are physically connected via a cable. Ref: Watts, D. J., & Strogatz, S. H. (1998). \n Collective dynamics of 'small-world' networks. nature, 393(6684), 440-442.", "directed": false, "statistics": {}, "function": "TOTDO add a function to load the file and make the graph" @@ -26,7 +26,7 @@ "Protein":{ "filename": "protein.edgelist.txt", "url": "https://networksciencebook.com/translations/en/resources/networks.zip", - "description": "Network representing the protein-protein interactions in yeast. Each node represents a protein, and they are connected if they physically interact within the cell. Original data: http://interactome.dfci.harvard.edu/S_cerevisiae/index.php?page=download Ref: Yu, H., Braun, P., Yıldırım, M. A., Lemmens, I., Venkatesan, K., Sahalie, J., ... & Vidal, M. (2008). High-quality binary protein interaction map of the yeast interactome network. Science, 322(5898), 104-110.", + "description": "Network representing the protein-protein interactions in yeast. \n Each node represents a protein, and they are connected if they physically interact within the cell. \n Original data: http://interactome.dfci.harvard.edu/S_cerevisiae/index.php?page=download Ref: Yu, H., Braun, P., \n Yıldırım, M. A., Lemmens, I., Venkatesan, K., Sahalie, J., ... & Vidal, M. (2008). \n High-quality binary protein interaction map of the yeast interactome network. Science, 322(5898), 104-110.", "directed": false, "statistics": {}, "function": "TOTDO add a function to load the file and make the graph" @@ -34,7 +34,7 @@ "PhoneCalls":{ "filename": "phonecalls.edgelist.txt", "url": "https://networksciencebook.com/translations/en/resources/networks.zip", - "description": "Nodes represent a sample of cell phone users, they are connected if they have called each other at least once during the observed period. Data set contains a subset of most active users from (Song et al, 2010). Data provided by Chaoming Song. Ref: Song, C., Qu, Z., Blumm, N., & Barabási, A. L. (2010). Limits of predictability in human mobility. Science, 327(5968), 1018-1021.", + "description": "Nodes represent a sample of cell phone users, they are connected if \n they have called each other at least once during the observed period. Data set contains a subset of \n most active users from (Song et al, 2010). Data provided by Chaoming Song. Ref: Song, C., Qu, Z., Blumm, N., & Barabási, A. L. (2010). \n Limits of predictability in human mobility. Science, 327(5968), 1018-1021.", "directed": true, "statistics": {}, "function": "TOTDO add a function to load the file and make the graph" @@ -42,7 +42,7 @@ "Citation":{ "filename": "citation.edgelist.txt", "url": "https://networksciencebook.com/translations/en/resources/networks.zip", - "description": "Citation network of the APS journals (Physical Review Letters, Physical Review, and Reviews of Modern Physics). Each node represents a paper, and there is a directed link connecting node A to node B, if A cites B. Original data: http://journals.aps.org/datasets Details: Redner, S. (2004). Citation statistics from more than a century of physical review. arXiv preprint physics/0407137.", + "description": "Citation network of the APS journals (Physical Review Letters, Physical Review,\n and Reviews of Modern Physics). Each node represents a paper, and there is a directed link \n connecting node A to node B, if A cites B. Original data: http://journals.aps.org/datasets Details: Redner, S. (2004). Citation statistics\n from more than a century of physical review. arXiv preprint physics/0407137.", "directed": true, "statistics": {}, "function": "TOTDO add a function to load the file and make the graph" @@ -50,7 +50,7 @@ "Metabolic": { "filename": "metabolic.edgelist.txt", "url": "https://networksciencebook.com/translations/en/resources/networks.zip", - "description": "Network representing the metabolic reactions of the E. coli bacteria. Each node is a metabolite, and each directed link A->B means that there is a reaction where A is an input and B is a product (e.g. A+C -> B+D). Original data: http://bigg.ucsd.edu/ Ref: Schellenberger, J., Park, J. O., Conrad, T. M., & Palsson, B. Ø. (2010). BiGG: a Biochemical Genetic and Genomic knowledgebase of large scale metabolic reconstructions. BMC bioinformatics, 11(1), 213.", + "description": "Network representing the metabolic reactions of the E. coli bacteria. Each node \n is a metabolite, and each directed link A->B means that there is a reaction where A is an input\n and B is a product (e.g. A+C -> B+D). Original data: http://bigg.ucsd.edu/ Ref: Schellenberger, J., Park, J. O., Conrad, T. M., & Palsson, B. Ø.\n (2010). BiGG: a Biochemical Genetic and Genomic knowledgebase of large scale metabolic reconstructions. BMC bioinformatics, 11(1), 213.", "directed": true, "statistics": {}, "function": "TOTDO add a function to load the file and make the graph"