Loading README.md +11 −0 Changes for README.md: 11 added lines, 0 removed lines. Original line number Diff line number Diff line Loading @@ -146,5 +146,16 @@ Les différents algorithmes comms = G.community_leading_eigenvector(clusters=6) igraph.plot(comms, mot+"-leading-eigenvector.svg", mark_groups = True, **visual_style3) comms = G.community_walktrap() igraph.plot(comms, mot+"-walktrap.svg", palette="red", **visual_style3) comms = G.community_optimal_modularity() # très long ... igraph.plot(comms, mot+"-optimal_modularity.svg", mark_groups = True, **visual_style3) comms=G.community_spinglass() igraph.plot(comms, mot+"-spinglassNoMarkGroups.svg", mark_groups = False, **visual_style3) comms=G.community_edge_betweenness() igraph.plot(comms, mot+"-edge_betweenness.svg", mark_groups = True, **visual_style3) Loading
README.md +11 −0 Changes for README.md: 11 added lines, 0 removed lines. Original line number Diff line number Diff line Loading @@ -146,5 +146,16 @@ Les différents algorithmes comms = G.community_leading_eigenvector(clusters=6) igraph.plot(comms, mot+"-leading-eigenvector.svg", mark_groups = True, **visual_style3) comms = G.community_walktrap() igraph.plot(comms, mot+"-walktrap.svg", palette="red", **visual_style3) comms = G.community_optimal_modularity() # très long ... igraph.plot(comms, mot+"-optimal_modularity.svg", mark_groups = True, **visual_style3) comms=G.community_spinglass() igraph.plot(comms, mot+"-spinglassNoMarkGroups.svg", mark_groups = False, **visual_style3) comms=G.community_edge_betweenness() igraph.plot(comms, mot+"-edge_betweenness.svg", mark_groups = True, **visual_style3)