print "Average clustering coefficient: " print average_clustering(G) # print "Communicability centrality: " # print communicability(G) print "Diameter" print diameter(G) print "Radius: " print radius(G) print "Eccentricity: " print eccentricity(G) sparseGraph = SparseGraph.fromNetworkXGraph(G) print "Size" print sparseGraph.size #1. mean degree degrees = sparseGraph.degreeSequence() sumDegree = np.sum(degrees) meanDegree = sumDegree / len(degrees) print "Mean Degree" print meanDegree #2. diameter print "SG Diameter" print sparseGraph.diameter()
