Using networkx (http://networkx.lanl.gov/)
Loading data from file (format: one\t two\t23\n):
ass_base={}
ass_file=open("avs_weights_utf8.txt",'r')
for line in ass_file.readlines():
parts=line.split('\t')
ass_base[parts[0]+'\t'+parts[1]]=parts[2].replace('\n','')
import networkx as nx
graph=nx.DiGraph()
for key in ass_base.keys():
parts=key.split('\t')
graph.add_weighted_edges_from([(parts[0],parts[1],float(ass_base[key]))])
#average node degree
round( sum([d[1] for d in graph.degree_iter()])/float(len(graph)), 4)
#get all degrees
degrees=sorted(degrees.values(), reverse=True)
Loading data from file (format: one\t two\t23\n):
ass_base={}
ass_file=open("avs_weights_utf8.txt",'r')
for line in ass_file.readlines():
parts=line.split('\t')
ass_base[parts[0]+'\t'+parts[1]]=parts[2].replace('\n','')
import networkx as nx
graph=nx.DiGraph()
for key in ass_base.keys():
parts=key.split('\t')
graph.add_weighted_edges_from([(parts[0],parts[1],float(ass_base[key]))])
#average node degree
round( sum([d[1] for d in graph.degree_iter()])/float(len(graph)), 4)
#get all degrees
degrees=sorted(degrees.values(), reverse=True)

No comments:
Post a Comment