for nid, vid in enumerate(node_set):
node_hash[vid] = nid
trsn_g = snap.TNEANet.New()
#node_id: 0 to n-1
for vid, nid in node_hash.iteritems():
trsn_g.AddNode(nid)
trsn_g.AddStrAttrDatN(nid, vid, 'vid')
#freq: frequncy(cnt) of edge
print trsn_g.GetNodes()
for idx, trsn in enumerate(trsn_list):
src_nid = node_hash[trsn[0]]
dst_nid = node_hash[trsn[1]]
print src_nid, dst_nid
#TODO: add timestamp filter
if not trsn_g.IsEdge(src_nid, dst_nid):
GH.add_edge_attrs(trsn_g, src_nid, dst_nid, time_list[idx])
GH.add_node_attrs(trsn_g, src_nid, dst_nid, time_list[idx])
print "add a new edge, hoho~"
else:
GH.update_edge_attrs(trsn_g, src_nid, dst_nid, time_list[idx])
GH.update_node_attrs(trsn_g, src_nid, dst_nid, time_list[idx])
print "update node info, haha~"
print idx, trsn
print len(trsn_list)
GH.save_graph(trsn_g, graph_path, 'sf_trsn_graph')
print "succesfully build the graph!"