BC DC SC……

中心性

上边介绍的统计指标只是NetworkX能计算的指标中的一小部分内容，除此之外NetworkX还提供了很多（我还没有用到过的）统计指标计算方法，

感兴趣的朋友可以去查NetworkX的在线帮助文档：http://networkx.lanl.gov/reference/index.html。对于加权图的统计指标计算，NetworkX似乎没有直接提供方法（也可能是我没找到），估计需要自己动手编制一些程序来完成。
这个我大部分不知道怎么翻译，直接上NX的帮助文档吧，需要计算哪方面的centrality自己从里边找：）

Degree centrality measures.（点度中心性？）
degree_centrality(G)     Compute the degree centrality for nodes.
in_degree_centrality(G)     Compute the in-degree centrality for nodes.
out_degree_centrality(G)     Compute the out-degree centrality for nodes.

Closeness centrality measures.（紧密中心性？）
closeness_centrality(G[, v, weighted_edges])     Compute closeness centrality for nodes.

Betweenness centrality measures.（介数中心性？）
betweenness_centrality(G[, normalized, ...])     Compute betweenness centrality for nodes.
edge_betweenness_centrality(G[, normalized, ...])     Compute betweenness centrality for edges.

Current-flow closeness centrality measures.（流紧密中心性？）
current_flow_closeness_centrality(G[, ...])     Compute current-flow closeness centrality for nodes.
Current-Flow Betweenness

Current-flow betweenness centrality measures.（流介数中心性？）
current_flow_betweenness_centrality(G[, ...])     Compute current-flow betweenness centrality for nodes.
edge_current_flow_betweenness_centrality(G)     Compute current-flow betweenness centrality for edges.

Eigenvector centrality.（特征向量中心性？）
eigenvector_centrality(G[, max_iter, tol, ...])     Compute the eigenvector centrality for the graph G.
eigenvector_centrality_numpy(G)     Compute the eigenvector centrality for the graph G.

Load centrality.（彻底晕菜~~~）
load_centrality(G[, v, cutoff, normalized, ...])     Compute load centrality for nodes.
edge_load(G[, nodes, cutoff])     Compute edge load.