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Krackhardt 中心性#
Krackhardt 社会网络的中心性度量。
Betweenness
0 0.023
1 0.023
2 0.000
3 0.102
4 0.000
5 0.231
6 0.231
7 0.389
8 0.222
9 0.000
Degree centrality
0 0.444
1 0.444
2 0.333
3 0.667
4 0.333
5 0.556
6 0.556
7 0.333
8 0.222
9 0.111
Closeness centrality
0 0.529
1 0.529
2 0.500
3 0.600
4 0.500
5 0.643
6 0.643
7 0.600
8 0.429
9 0.310
import matplotlib.pyplot as plt
import networkx as nx
G = nx.krackhardt_kite_graph()
print("Betweenness")
b = nx.betweenness_centrality(G)
for v in G.nodes():
print(f"{v:2} {b[v]:.3f}")
print("Degree centrality")
d = nx.degree_centrality(G)
for v in G.nodes():
print(f"{v:2} {d[v]:.3f}")
print("Closeness centrality")
c = nx.closeness_centrality(G)
for v in G.nodes():
print(f"{v:2} {c[v]:.3f}")
pos = nx.spring_layout(G, seed=367) # 设定布局以确保可重复性
nx.draw(G, pos)
plt.show()
Total running time of the script: (0 minutes 0.025 seconds)