def test_clustercoefficient():
ps = np.arange(0, 1, 0.01)
n = 1000
e = 10
labels = string.ascii_lowercase + string.ascii_uppercase
vs = []
iter = misc.gen_identifier()
for i in range(n):
vs.append(Vertex(iter.next()))
g = SmallWorldGraph(vs)
g.add_regular_ring_lattice(e)
c0 = g.get_clustering_coefficient()
xs = []
ys = []
for p in ps:
g = SmallWorldGraph(vs)
g.add_regular_ring_lattice(e)
g.rewire(p)
ys.append(g.get_clustering_coefficient() / c0)
xs.append(p)
fig = plt.figure(dpi = 100)
plt.subplot(1,1,1)
plt.plot(xs, ys)
plt.xscale('log')
plt.show()
