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####
##
## This is the hypergeometric model. Each layer has the same number of
## non-isolated nodes as the initial graph, but the nodes are
## activated at random. The input is a file of number of non-isolated
## nodes in each layer, and the total number of nodes in the multiplex.
##
## The output file is a node-layer participation file, in the format
##
## node_id1 layer_id1
## node_id2 layer_id2
## .....
##
import sys
import random
if len(sys.argv) < 3:
print "Usage: %s <layer_N_file> <N>" % sys.argv[0]
sys.exit(1)
N = int(sys.argv[2])
layer_degs = []
node_layers = {}
lines = open(sys.argv[1]).readlines()
M = 0
for l in lines:
if l[0] == "#":
continue
n = [int(x) for x in l.strip(" \n").split(" ")][0]
layer_degs.append(n)
M += 1
for i in range(M):
num = layer_degs[i]
added = []
n = 0
while n < num:
j = random.choice(range(N))
if j not in added:
n += 1
added.append(j)
if node_layers.has_key(j):
node_layers[j].append(i)
else:
node_layers[j] = [i]
for n in node_layers.keys():
for i in node_layers[n]:
print n,i
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