Python-Networkx

import networkx

#建图
G = networkx.Graph()
#节点数：
len(G)
#边数
G.number_of_edges()
#节点表
G.nodes()
#边表
G.edges()
#网络直径
diameter(G)
#所有节点间的最短*路径*,列表存储
networkx.all_pairs_shortest_path(G)
#网络节点间的平均最短路长度
networkx.average_shortest_path_length(G)
#插入边，点会自动生成
G.add_edge(search(s[0]), search(s[1]), weight = eval(s[x]))
#网络传递性
Transitivity = networkx.transitivity(G)
#网络各个节点群聚系数
Clustering = networkx.clustering(G)
#网络度分布
Degree_distribution = networkx.degree_histogram(G)
#网络度中心性
Degree_Centrality = networkx.degree_centrality(G)
#各个节点Closeness
Closeness_Centrality = networkx.closeness_centrality(G)
#各个节点Betweenness
Betweenness_Centrality = networkx.betweenness_centrality(G)