def barabasi_albert_graph_directed(n, m):
if m < 1 or m >=n:
raise nx.NetworkXError("Barabasi-Albert network must have m>=1 and m<n, m=%d,n=%d"%(m,n))
graphlist = []
graph = Graph()
gc = GraphCollection(barabasi_albert_graph_directed)
graph.add_nodes_from(range(n))
graph.name="barabasi_albert_graph(%s,%s)"%(n,m)
targets=list(range(n))
for i in range(0, n, 1):
rand = random.sample(targets, m)
while i in rand:
rand = random.sample(targets, m)
graph.add_edges_from(zip([i]*m, rand))
gc.append(graph)
graphlist.append(graph)
#testP = TestPlotting('test_bowtie_plot_generator')
#testP.call_plot_graph_with(graph, 'test_bowtie_plot_generator', i)
return graphlist
