Mercurial > repos > shellac > sam_consensus_v3
annotate env/share/doc/networkx-2.5/examples/drawing/plot_ego_graph.py @ 0:4f3585e2f14b draft default tip
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author | shellac |
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date | Mon, 22 Mar 2021 18:12:50 +0000 |
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1 """ |
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2 ========= |
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3 Ego Graph |
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4 ========= |
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5 |
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6 Example using the NetworkX ego_graph() function to return the main egonet of |
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7 the largest hub in a Barabási-Albert network. |
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8 """ |
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9 |
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10 from operator import itemgetter |
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11 |
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12 import matplotlib.pyplot as plt |
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13 import networkx as nx |
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14 |
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15 # Create a BA model graph |
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16 n = 1000 |
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17 m = 2 |
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18 G = nx.generators.barabasi_albert_graph(n, m) |
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19 |
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20 # find node with largest degree |
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21 node_and_degree = G.degree() |
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22 (largest_hub, degree) = sorted(node_and_degree, key=itemgetter(1))[-1] |
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23 |
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24 # Create ego graph of main hub |
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25 hub_ego = nx.ego_graph(G, largest_hub) |
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26 |
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27 # Draw graph |
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28 pos = nx.spring_layout(hub_ego) |
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29 nx.draw(hub_ego, pos, node_color="b", node_size=50, with_labels=False) |
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30 |
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31 # Draw ego as large and red |
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32 options = {"node_size": 300, "node_color": "r"} |
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33 nx.draw_networkx_nodes(hub_ego, pos, nodelist=[largest_hub], **options) |
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34 plt.show() |