Example #1
0
def measure_dict(net, m="selectivity", d="undirected"):
    if d == "out":
        if m == "selectivity":
            measure = measures.out_selectivity(net)
        elif m == "degree":
            g = nx.read_weighted_edgelist(net, create_using=nx.DiGraph())
            measure = g.out_degree()
        elif m == "strength":
            g = nx.read_weighted_edgelist(net, create_using=nx.DiGraph())
            measure = g.out_degree(weight='weight')

    elif d == "in":
        if m == "selectivity":
            measure = measures.in_selectivity(net)
        elif m == "degree":
            g = nx.read_weighted_edgelist(net, create_using=nx.DiGraph())
            measure = g.in_degree()
        elif m == "strength":
            g = nx.read_weighted_edgelist(net, create_using=nx.DiGraph())
            measure = g.in_degree(weight='weight')

    elif d == "undirected":
        if m == "selectivity":
            measure = measures.selectivity(net)
        elif m == "degree":
            g = nx.read_weighted_edgelist(net)
            measure = g.degree()
        elif m == "strength":
            g = nx.read_weighted_edgelist(net)
            measure = g.degree(weight='weight')

    return measure
Example #2
0
def measure_dict(net, m="selectivity", d="undirected"):
    if d == "out":
        if m == "selectivity":
            measure = measures.out_selectivity(net)
        elif m == "degree":
            g = nx.read_weighted_edgelist(net, create_using=nx.DiGraph())
            measure = g.out_degree()
        elif m == "strength":
            g = nx.read_weighted_edgelist(net, create_using=nx.DiGraph())
            measure = g.out_degree(weight='weight')

    elif d == "in":
        if m == "selectivity":
            measure = measures.in_selectivity(net)
        elif m == "degree":
            g = nx.read_weighted_edgelist(net, create_using=nx.DiGraph())
            measure = g.in_degree()
        elif m == "strength":
            g = nx.read_weighted_edgelist(net, create_using=nx.DiGraph())
            measure = g.in_degree(weight='weight')

    elif d == "undirected":
        if m == "selectivity":
            measure = measures.selectivity(net)
        elif m == "degree":
            g = nx.read_weighted_edgelist(net)
            measure = g.degree()
        elif m == "strength":
            g = nx.read_weighted_edgelist(net)
            measure = g.degree(weight='weight')

    return measure
Example #3
0
    def entropy(self):
        parser = argparse.ArgumentParser(prog='entropy',
                                         parents=[Measure.parent_parser])
        parser.add_argument('measure')
        args = parser.parse_args(sys.argv[3:])
        if args.measure == 'in_selectivity':
            measure_dict = measures.in_selectivity(args.network)
        elif args.measure == 'out_selectivity':
            measure_dict = measures.out_selectivity(args.network)
        elif args.measure == 'selectivity':
            measure_dict = measures.selectivity(args.network)
        elif args.measure == 'in_ipr':
            measure_dict = measures.in_ipr(args.network)
        elif args.measure == 'out_ipr':
            args.measure = measures.out_ipr(args.network)

        print measures.entropy(measure_dict)
Example #4
0
    def entropy(self):
        parser = argparse.ArgumentParser(prog='entropy',
                                         parents=[Measure.parent_parser])
        parser.add_argument('measure')
        args = parser.parse_args(sys.argv[3:])
        if args.measure == 'in_selectivity':
            measure_dict = measures.in_selectivity(args.network)
        elif args.measure == 'out_selectivity':
            measure_dict = measures.out_selectivity(args.network)
        elif args.measure == 'selectivity':
            measure_dict = measures.selectivity(args.network)
        elif args.measure == 'in_ipr':
            measure_dict = measures.in_ipr(args.network)
        elif args.measure == 'out_ipr':
            args.measure = measures.out_ipr(args.network)

        print measures.entropy(measure_dict)