clustering-louvain/test/Networkx.py

   1
   2
   3 import networkx as nx
   4 import community as co
   5 from collections import defaultdict
   6
   7 karate = nx.read_gexf("../src/Data/karate.gexf")
   8 part = co.best_partition(karate)
   9
  10 print(karate.edges())
  11 #result = defaultdict(list)
  12 result = dict()
  13
  14 for k,v in part.items():
  15     if v is not None:
  16         r = result.get(v, [])
  17         r.append(k)
  18         result[v] = r
  19 print(result)
  20