1 # !usr/bin/env python

 2 # -*- coding:utf-8 _*-

 3 # @Time  :2022/8/20 10:46

 4 # @Author: VVZ

 5 # @File  :1.2.py

 6

 7

 8 import numpy as np

 9 import pandas as pd

10 import networkx as nx

11

12 edges = pd.DataFrame()

13 edges['sources'] = [1,1,1,2,2,3,3,4,4,5,5,5] # 起始节点

14 edges['targets'] = [2,4,5,3,1,2,5,1,5,1,3,4] # 终止节点

15 edges['weights'] = [1,1,1,1,1,1,1,1,1,1,1,1]

16

17 G = nx.from_pandas_edgelist(edges, source='sources', target='targets', edge_attr='weights')

18 # degree

19 print('degree:', nx.degree(G))

20 # 连通分量

21 print('连通分量:', list(nx.connected_components(G)))

22 # 图直径

23 print('图直径:', nx.diameter(G))

24 # 度中心性

25 print('度中心性:', nx.degree_centrality(G))

26 # 特征向量中心性

27 print('特征向量中心性:',nx.eigenvector_centrality(G))

28 # betweenness

29 print('betweenness:', nx.betweenness_centrality(G))

30 # clossness

31 print('clossness:', nx.closeness_centrality(G))

32 # pagerank

33 print('pagerank:', nx.pagerank(G))

34 # HITS

35 print('HITS:', nx.hits(G))