blob: cd5ea1d14ab1a8bc9a2ef63bdca2a75d29c25574 (
plain)
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
|
####
##
## Aggregate the layers of a multiplex, weigthing each edge according
## to the number of times it occurs in the different layers
##
import sys
import networkx as net
if len(sys.argv) < 3:
print "Usage: %s <file1> <file2> [<file3>....]" % sys.argv(0)
sys.exit(1)
G = net.Graph()
lines = open(sys.argv[1], "r").readlines()
for l in lines:
s,d = [int(x) for x in l.strip(" \n").split(" ")[:2]]
G.add_edge(s,d)
G[s][d]['weigth'] = 1
for f in sys.argv[2:]:
lines = open(f, "r").readlines()
for l in lines:
s,d = [int(x) for x in l.strip(" \n").split(" ")[:2]]
if (G.has_edge(s,d)):
G[s][d]['weigth'] += 1
else:
G.add_edge(s,d)
G[s][d]['weigth'] = 1
for s,d in G.edges():
print s,d, G[s][d]['weigth']
|