Dear Tiago, all, I'm happy to have discovered the new partition overlap functionality. It works very nicely. But is it possible to obtain the description length of a nested consensus state? Getting the description length of the consensus state works fine for an unnested model: from graph_tool.all import * h = collection.data['polbooks'] num_models = 2 states = [minimize_blockmodel_dl(h) for i in range(num_models)] bs = [states[i].get_blocks().a for i in range(num_models)] c, r = partition_overlap_center(bs) h_blocks = h.new_vp('int') h_blocks.a = c BlockState(h, h_blocks).entropy() For nested partitions, getting the consensus state is a bit more complicated: states_nested = [minimize_nested_blockmodel_dl(h) for i in range(num_models)] bs_nested = [] for j in range(num_models): l = [] for k in range(len(states_nested[j].get_levels())): l.append(states_nested[j].get_bstack()[k].vp.b.a) bs_nested.append(l) c_nested, r_nested = nested_partition_overlap_center(bs_nested) But how can I get its description length? Many thanks for your attention Haiko GESIS, Cologne