def community_detection(self, args:dict, status:dict, result:dict):
status['status'] = 'running'
# Get our parameters
data = args['json_data']
# Get our data file
graph = utils.get_graph(data)
part = graph.community_label_propagation(weights="weights")
result['partitions'] = utils.get_vertex_list(graph, part)
status['status'] = 'done'
def community_detection(self, args: dict, status: dict, result: dict):
status['status'] = 'running'
# Get our parameters
trials = args['trials']
data = args['json_data']
graph = utils.get_graph(data)
part = graph.community_infomap(edge_weights="weights", trials=trials)
result['partitions'] = utils.get_vertex_list(graph, part)
status['status'] = 'done'
def community_detection(self, args:dict, status:dict, result:dict):
status['status'] = 'running'
# Get our parameters
obj_func = args['obj_func']
resolution_parameter = args['resolution_parameter']
beta = args['beta']
iterations = args['iterations']
data = args['json_data']
graph = utils.get_graph(data)
part = graph.community_leiden(objective_function=obj_func, weights="weights",
resolution_parameter=resolution_parameter, beta=beta,
n_iterations=iterations)
result['partitions'] = utils.get_vertex_list(graph, part)
status['status'] = 'done'
def get_graph_api(request, id):
response = get_graph(id)
return JsonResponse(response)