Community Detection, Label Propagation, Python, Networkx, Graph.
dict(Counter(counted_sh_index.values())) first_value = list(no_of_same_sh_index.values())[0] # print("first_value of node {} is : {}".format(node, first_value)) first_key = list(no_of_same_sh_index.keys())[0] if first_value > 1: random_neighbours = [] random_labels = [] random_list = [k for k,v in