data.py 文件源码

def efficient_collaboration_weighted_projected_graph2(B, nodes):
    nodes = set(nodes)
    G = nx.Graph()
    G.add_nodes_from(nodes)
    all_nodes = set(B.nodes())
    i = 0
    tenpercent = len(all_nodes) / 10
    for m in all_nodes:
        if i % tenpercent == 0:
            logging.info(str(10 * i / tenpercent) + "%")
        i += 1  

        nbrs = B[m]
        target_nbrs = [t for t in nbrs if t in nodes]
        if m in nodes:
            for n in target_nbrs:
                if m < n:
                    if not G.has_edge(m, n):
                        G.add_edge(m, n)
        for n1 in target_nbrs:
            for n2 in target_nbrs:
                if n1 < n2:
                    if not G.has_edge(n1, n2):
                        G.add_edge(n1, n2)
    return G