def start(githubu, twiteru, depth=2, iterations=100): print "crawl the github social graph of %s" % githubu matrix_g, nodes_g = github.start(githubu, depth) print "crawl the twiter social graph of %s" % twiteru matrix_t, nodes_t = twiter.start(twiteru, depth) print "calculate the similarity matrix between github social graph and twiter social graph" similarity_matrix = cal_matrix.cal_similarity_matrix(matrix_g, matrix_t, iterations) print "make decision" return filters.start(similarity_matrix, nodes_g, nodes_t)
def start(githubu, twiteru, depth=2, iterations=100):
print "crawl the github social graph of %s" % githubu
matrix_g, nodes_g = github.start(githubu, depth)
print "crawl the twiter social graph of %s" % twiteru
matrix_t, nodes_t = twiter.start(twiteru, depth)
print "calculate the similarity matrix between github social graph and twiter social graph"
similarity_matrix = cal_matrix.cal_similarity_matrix(
matrix_g, matrix_t, iterations)
print "make decision"
return filters.start(similarity_matrix, nodes_g, nodes_t)
else:
matrix_g, nodes_g = github.start(githubu)
print "crawl the twiter social graph of %s" % twiteru
if args.depth:
matrix_t, nodes_t = twiter.start(twiteru, args.depth)
else:
matrix_t, nodes_t = twiter.start(twiteru)
print "calculate the similarity matrix between github social graph and twiter social graph"
if args.iterations:
similarity_matrix = cal_matrix.cal_similarity_matrix(
matrix_g, matrix_t, args.iterations)
else:
similarity_matrix = cal_matrix.cal_similarity_matrix(
matrix_g, matrix_t)
print "make decision"
filters.start(similarity_matrix, nodes_g, nodes_t)
if args.depth: matrix_t, nodes_t = twiter.start(twiteru, args.depth) else: matrix_t, nodes_t = twiter.start(twiteru) print "calculate the similarity matrix between github social graph and twiter social graph" if args.iterations: similarity_matrix = cal_matrix.cal_similarity_matrix(matrix_g, matrix_t, args.iterations) else: similarity_matrix = cal_matrix.cal_similarity_matrix(matrix_g, matrix_t) print "make decision" result=filters.start(similarity_matrix, nodes_g, nodes_t) print str(result)