def main():
start_time = time.time()
args = utils.create_argument_parser()
graph = utils.load_graph(args.dataset, args.w)
graph_copy = deepcopy(graph)
communities = community_search(graph)
com_dict = {}
for i in range(len(communities)):
com_dict[i] = communities[i]
utils.print_comm_info_to_display(com_dict)
print('modularity_value =', modularity(graph, com_dict))
com_dict2 = {}
for k, v in com_dict.items():
for node in v:
com_dict2[node] = k
print('NMI =', NMI(args.output, com_dict2))
finish_time = time.time()
print('\nDone in %.4f seconds.' % (finish_time - start_time))
def main():
start_time = time.time()
args = utils.create_argument_parser()
graph = utils.load_graph(args.dataset, args.w)
graph_copy = deepcopy(graph)
preprocess(graph)
c = greedy_modularity_communities(graph)
finish_time = time.time()
print('\nDone in %.4f seconds.' % (finish_time - start_time))
communities = dict()
for i in range(len(c)):
communities[i] = list(c[i])
partition = create_partition(communities)
utils.print_comm_info_to_display(communities)
# utils.write_comm_info_to_file(partition)
print('modularity_value =', modularity(graph_copy, communities))
print('NMI =', NMI(args.output, partition))
finish_time = time.time()
print('\nDone in %.4f seconds.' % (finish_time - start_time))
def _main():
start_time = time.time()
args = utils.create_argument_parser()
graph = utils.load_graph(args.dataset, False)
graph_copy = deepcopy(graph)
communities = community_detect(graph)
number_of_nodes = 0
com_dict = {}
for i in range(len(communities)):
com_dict[i] = communities[i]
number_of_nodes += len(communities[i])
print(number_of_nodes, ' nodes has been analyzed.')
utils.print_comm_info_to_display(com_dict)
print('modularity_value =', modularity(graph_copy, com_dict))
com_dict2 = {}
for k, v in com_dict.items():
for node in v:
com_dict2[node] = k
print('NMI =', NMI(args.output, com_dict2))
finish_time = time.time()
print('\nDone in %.4f seconds.' % (finish_time - start_time))
def main():
start_time = time.time()
args = utils.create_argument_parser()
graph = utils.load_graph(args.dataset, args.w)
partition = best_partition(graph)
finish_time = time.time()
print('\nDone in %.4f seconds.' % (finish_time - start_time))
communities = utils.extract_communities(partition)
utils.print_comm_info_to_display(communities)
# utils.write_comm_info_to_file(args.output, partition)
# print('modularity_value =', modularity(graph, communities))
# print('NMI =', NMI(args.output, partition))
finish_time = time.time()
print('\nDone in %.4f seconds.' % (finish_time - start_time))
def main():
start_time = time.time()
args = utils.create_argument_parser()
graph = utils.load_graph(args.dataset, args.w)
graph_copy = deepcopy(graph)
communities = community_detection(graph)
com_dict = {}
for i in range(len(communities)):
com_dict[i] = communities[i]
utils.print_comm_info_to_display(com_dict)
# output_name = args.dataset[args.dataset.rindex('/'):]
# utils.write_comm_info_to_file(output_name, com_dict)
print('modularity_value =', modularity(graph_copy, com_dict))
print('NMI =', NMI(args.output, com_dict))
finish_time = time.time()
print('\nDone in %.4f seconds.' % (finish_time - start_time))