Sure thing-- here's the example I was describing. Again, assuming my calculations in the previous message are correct (i.e. I'm understanding the documentation correctly), I should expect, on average, about 5 or so edges reaching from one block to the other block, with about 6-8 edges in the total network connecting minority block members to each other (and 235-237 edges in the total network connecting majority block members to each other). Instead, the minority block features a higher-than-expected connectivity, and all of the members of the minority block appear central in the overall network. Thanks in advance for any help. N = 100 P = .15 def blockMaker(v): if v<N*P: return 1 else: return 0 def corr(a,b): if a==b: return 20 else: return 1 g, sT = random_graph(N, lambda: poisson(5), directed=False, model="blockmodel-traditional", block_membership= blockMaker, vertex_corr=corr,n_iter=100,persist=True) graph_draw(g, vertex_fill_color=sT, edge_color="black", output="figure.pdf") -- View this message in context: http://main-discussion-list-for-the-graph-tool-project.982480.n3.nabble.com/... Sent from the Main discussion list for the graph-tool project mailing list archive at Nabble.com.