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September 29, 2021 08:15
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Network Graphs for Epidemiology
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K_5 = nx.complete_graph(5) | |
nx.draw(K_5, with_labels=True, font_weight='bold', font_color='white', node_color='black', node_size=500, alpha=0.8, edge_color='orange') | |
K_3_5 = nx.complete_bipartite_graph(3, 5) | |
nx.draw(K_3_5, with_labels=True, font_weight='bold', font_color='white', node_color='black', node_size=500, alpha=0.8, edge_color='orange') | |
barbell = nx.barbell_graph(10, 10) | |
nx.draw(barbell , with_labels=True, font_weight='bold', font_color='white', node_color='black', node_size=500, alpha=0.8, edge_color='orange') | |
lollipop = nx.lollipop_graph(10, 20) | |
nx.draw(lollipop, with_labels=True, font_weight='bold', font_color='white', node_color='black', node_size=500, alpha=0.8, edge_color='orange') | |
er = nx.erdos_renyi_graph(100, 0.1) | |
nx.draw(er, with_labels=True, font_weight='bold', font_color='white', node_color='black', node_size=300, alpha=0.8, edge_color='orange') | |
ws = nx.watts_strogatz_graph(30, 3, 0.1) | |
nx.draw(ws, with_labels=True, font_weight='bold', font_color='white', node_color='black', node_size=300, alpha=0.8, edge_color='orange') |
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