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)
print "crawl the github social graph of %s" % githubu if args.depth: matrix_g, nodes_g = github.start(githubu, args.depth) 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(
print "crawl the github social graph of %s" % githubu if args.depth: matrix_g, nodes_g = github.start(githubu, args.depth) 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)