research/random_graphs.py

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Python
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2016-08-20 04:28:22 +00:00
import numpy, random
EXP_CONN = 2
NODES = 10000
nodes = []
for i in range(NODES):
n = []
EDGES = numpy.random.poisson(EXP_CONN / 2.)
for j in range(EDGES):
n.append(random.randrange(NODES))
nodes.append(n)
for i in range(NODES):
for p in nodes[i]:
if i not in nodes[p]:
nodes[p].append(i)
print 'Total edges:', sum([len(s) for s in nodes])
components = []
scanned = {}
for i in range(NODES):
if i in scanned:
pass
size = 0
positions = [i]
while len(positions):
val = positions.pop()
if val not in scanned:
scanned[val] = True
size += 1
for p in nodes[val]:
positions.append(p)
# print 'Component:', size
components.append(size)
print 'Biggest components:', sorted(components)[::-1][:10]