python求解接近中心性

求解网络科学里面的接近中心性

import matplotlib.pyplot as plt
import networkx as nx
import operator

def get_closeness_centrality():
    
  G = nx.Graph()
  
  filestr = ""
  
  #需要读入的邻接矩阵
  with open("nsMatrix.txt") as files:
     for line in files:
         filestr += line.strip()
 
  #将字符串转换成列表
  matrix = eval(filestr)

  nodes = range(len(matrix))
  G.add_nodes_from(nodes)
 
  for i in range(len(matrix)):
    for j in range(len(matrix)):
      if(matrix[i][j] == 1):
		G.add_edge(i, j)
  
  cc = nx.algorithms.bipartite.centrality.closeness_centrality(G,G.node())
  
  print("节点编号及其接近中心性最大值为：")
  cc_list = sorted(cc.items(), key=operator.itemgetter(1))
  print(cc_list)
   
get_closeness_centrality()

来源：CSDN

作者：wh柒八九

链接：https://blog.csdn.net/qq_31960623/article/details/104577669