Expected Degree Sequence¶

#!/usr/bin/env python
"""
Random graph from given degree sequence.
"""
__author__ = """Aric Hagberg (hagberg@lanl.gov)"""
#    Copyright (C) 2006 by
#    Aric Hagberg <hagberg@lanl.gov>
#    Dan Schult <dschult@colgate.edu>
#    Pieter Swart <swart@lanl.gov>
#    All rights reserved.
#    BSD license.

from networkx import *
from networkx.generators.degree_seq import *

# 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=degree_histogram(G)
low=min(degree(G))
for i in range(low,len(dh)):
    bar=''.join(dh[i]*['*'])
    print("%2s (%2s) %s"%(i,dh[i],bar))