search for: bonacich

> > Hello All, > Please help me with this problem.I have been having this problem for over a month now and I could not find any information.I later realised that error is with MATRIX package. I am working on graph object using IGRAPH version 0.5.2-2 package & wanted to do Bonacich Power. What I have is undirected GRAPH. This is my graph object. The file 'Bonacich Power.RData' (1.5 MB) is available for download at < http://dropbox.unl.edu/uploads/20090522/7a0d0313f21fd6a8/Bonacich%20Power.RData > Graph size *Vertices: 20924 Edges: 146938 Directed: FALSE No...

Hello All, I am working on graph object using IGRAPH package wanted to do Bonacich Power. This is my graph object. The file 'Graph.RData' (4.2 MB) is available for download at http://dropbox.unl.edu/uploads/20090424/cfe4fcb854bb17f2/Graph.RData Graph size Vertices: 20984 Edges: 326033 Directed: FALSE No graph attributes. Vertex attributes: name. No edge attributes. W...

Hello All, I am working on graph object using IGRAPH package wanted to do Bonacich Power. This is my graph object. The file 'Graph.RData' (4.2 MB) is available for download at http://dropbox.unl.edu/uploads/20090424/cfe4fcb854bb17f2/Graph.RData Graph size Vertices: 20984 Edges: 326033 Directed: FALSE No graph attributes. Vertex attributes: name. No edge attributes. W...

...rality. See centralization.scores(). - Personalized Page-Rank scores, see page.rank(). - Subgraph centrality, subgraph.centrality(). - Authority (authority.score()) and hub (hub.score()) scores support edge weights now. - Support edge weights in betweenness and closeness calculations. - bonpow(), Bonacich's power centrality and alpha.centrality(), Alpha centrality calculations now use sparse matrices by default. - Eigenvector centrality calculation, evcent() now works for directed graphs. - Betweenness calculation can now use arbitrarily large integers, this is required for some lattice-li...

...rality. See centralization.scores(). - Personalized Page-Rank scores, see page.rank(). - Subgraph centrality, subgraph.centrality(). - Authority (authority.score()) and hub (hub.score()) scores support edge weights now. - Support edge weights in betweenness and closeness calculations. - bonpow(), Bonacich's power centrality and alpha.centrality(), Alpha centrality calculations now use sparse matrices by default. - Eigenvector centrality calculation, evcent() now works for directed graphs. - Betweenness calculation can now use arbitrarily large integers, this is required for some lattice-li...