Mercurial > public > think_complexity
view ch5ex6-3.py @ 39:49db586c727a
Chapter 6, exercise 1: simple program to play with CA and CADrawer.
author | Brian Neal <bgneal@gmail.com> |
---|---|
date | Fri, 11 Jan 2013 21:18:45 -0600 |
parents | 305cc03c2750 |
children |
line wrap: on
line source
"""Chapter 5.5, exercise 6 in Allen Downey's Think Complexity book. 3. Use the BA model to generate a graph with about 1000 vertices and compute the characteristic length and clustering coefficient as defined in the Watts and Strogatz paper. Do scale-free networks have the characteristics of a small-world graph? """ from ch5ex6 import BAGraph g = BAGraph(5, 5) for i in xrange(1000): g.step() g.set_edge_length(1) print "Clustering coefficient:", g.clustering_coefficient() print "Characteristic length:", g.big_l3()