def input_type_fun(input_type):
if input_type==1:
C = nx.read_gml(filelist[file_num])
elif input_type==2:
C = nx.Graph(formal_edgelist(base +'/benchmark_LFR_OC_UU/network.dat'))
# get true.dat
f = file(base +'/benchmark_LFR_OC_UU/community.dat', 'r')
fw = file(base +'/evaluations/mutual3/true.dat','w+')
d={}
for line in f:
kx = line.strip().split('\t')
kv = []
if ' ' in kx[1]:
kc = kx[1].strip().split(' ')
kv.append(int(kx[0]))
for x in kc:
kv.append(int(x))
else:
kv =[int(kx[0]), int(kx[1])]
for kk in kv[1:]:
if d.get(kk):
d[kk].append(kv[0])
else:
d[kk]=[kv[0]]
ground_truth = []
for x in d:
ground_truth.append(d[x])
print "lens of ground_truth: ", len(ground_truth)
print "ground_truth is:", ground_truth
for line in ground_truth:
content = " ".join([str(x) for x in line])
fw.write(content)
fw.write('\n')
f.close()
fw.close()
elif input_type==3:
from inputs.friendster_dataset.friendster_graph import get_friendster_graph
# C = nx.Graph()
C = get_friendster_graph()
print len(C)
return C
# from SeedDrivenDete import *
from socket import gethostname
hn = gethostname()
exec ("from config.%s import *" % hn)
if input_type == 1:
C = nx.read_gml(filelist[file_num])
elif input_type == 2:
C = nx.Graph(formal_edgelist(base + "/benchmark_LFR_OC_UU/network.dat"))
elif input_type == 3:
from inputs.friendster_dataset.friendster_graph import get_friendster_graph
C = get_friendster_graph()
# print "nodes_______",len(C.nodes())
# print C.edges()
# print len(C.edges())
# exit()
len_C = len(C)
nodes_C = C.nodes()
degree_dict = C.degree()
betweenness_dict = nx.betweenness_centrality(C)
len_max = len_C
if len_C >= 1000:
len_max = len_C * 0.1
if ' ' in kx[1]:
kc = kx[1].strip().split(' ')
kv.append(int(kx[0]))
for x in kc:
kv.append(int(x))
else:
kv = [int(kx[0]), int(kx[1])]
for kk in kv[1:]:
if d.get(kk):
d[kk].append(kv[0])
else:
d[kk] = [kv[0]]
ground_truth = []
for x in d:
ground_truth.append(d[x])
print "lens of ground_truth: ", len(ground_truth)
print "ground_truth is:", ground_truth
for line in ground_truth:
content = " ".join([str(x) for x in line])
fw.write(content)
fw.write('\n')
f.close()
fw.close()
elif input_type == 3:
from inputs.friendster_dataset.friendster_graph import get_friendster_graph
# C = nx.Graph()
C = get_friendster_graph()
print "////", len(C)
print "haha"
# print len(C.nodes())
# print len(C.edges())
