Expected Degree Sequence¶
Random graph from given degree sequence.
# Author: Aric Hagberg (email@example.com) # Copyright (C) 2006-2018 by # Aric Hagberg <firstname.lastname@example.org> # Dan Schult <email@example.com> # Pieter Swart <firstname.lastname@example.org> # All rights reserved. # BSD license. import networkx as nx from networkx.generators.degree_seq import expected_degree_graph # make a random graph of 500 nodes with expected degrees of 50 n = 500 # n nodes p = 0.1 w = [p * n for i in range(n)] # w = p*n for all nodes G = expected_degree_graph(w) # configuration model print("Degree histogram") print("degree (#nodes) ****") dh = nx.degree_histogram(G) low = min(nx.degree(G)) for i in range(low, len(dh)): bar = ''.join(dh[i] * ['*']) print("%2s (%2s) %s" % (i, dh[i], bar))
Total running time of the script: ( 0 minutes 0.000 seconds)