G_reply = G_reply.subgraph(rand_smpl)
G_mention = G_mention.subgraph(rand_smpl)
G_retweet = G_retweet.subgraph(rand_smpl)
G_social = G_social.subgraph(rand_smpl)
c = list(nx.k_clique_communities(G_social, 6))
print len(c)
mainpart = community.best_partition(G_social)
print len(mainpart.values())
for commcnt in range(len(c)):
nodeset = list(c[commcnt])
Gr = G_reply.subgraph(nodeset)
Gm = G_mention.subgraph(nodeset)
Grr = G_retweet.subgraph(nodeset)
Gs = G_social.subgraph(nodeset)
#if (nx.is_connected(Gr) and nx.is_connected(Gm) and nx.is_connected(Grr) and nx.is_connected(Gs)):
# pass
#else:
# print 'Runtime error, one of the graphs is not connected'
# continue
Garr = [Gr, Gm, Grr, Gs]
Klist = sg.multiview_IRWK(Garr)
for K in Klist:
print K
print 'average similarity is:', K.mean()
stop = timeit.default_timer()
print stop - start
