Python-Networkx

 1 import networkx
 2 
 3 #建图
 4 G = networkx.Graph()
 5 #节点数：
 6 len(G)
 7 #边数
 8 G.number_of_edges()
 9 #节点表
10 G.nodes() 
11 #边表
12 G.edges()
13 #网络直径
14 diameter(G)
15 #所有节点间的最短*路径*,列表存储
16 networkx.all_pairs_shortest_path(G)
17 #网络节点间的平均最短路长度
18 networkx.average_shortest_path_length(G)
19 #插入边，点会自动生成
20 G.add_edge(search(s[0]), search(s[1]), weight = eval(s[x]))
21 #网络传递性
22 Transitivity = networkx.transitivity(G)
23 #网络各个节点群聚系数
24 Clustering = networkx.clustering(G)
25 #网络度分布
26 Degree_distribution = networkx.degree_histogram(G)
27 #网络度中心性
28 Degree_Centrality = networkx.degree_centrality(G)
29 #各个节点Closeness
30 Closeness_Centrality = networkx.closeness_centrality(G)
31 #各个节点Betweenness
32 Betweenness_Centrality = networkx.betweenness_centrality(G)