Thanks! It is really fast. Jing
From: Gábor Csárdi <[email protected]<mailto:[email protected]>> Reply-To: Help for igraph users <[email protected]<mailto:[email protected]>> Date: Thursday, May 8, 2014 at 4:05 PM To: Help for igraph users <[email protected]<mailto:[email protected]>> Subject: Re: [igraph] calculate edge weight based on node weight No, it won't take a long time. This is in fact the fastest solution, both in practice, and also optimal in terms of time complexity. E.g. g <- graph.ring(10) V(g)$w <- 1:10 el <- get.edgelist(g, names=FALSE) E(g)$w <- V(g)$w[el[,1]] * V(g)$w[el[,2]] plot(g, edge.label=E(g)$w, vertex.label=V(g)$w) G. On Thu, May 8, 2014 at 4:57 PM, Wang, Jing <[email protected]<mailto:[email protected]>> wrote: Hi Gabor, Thank you for your response! Indexing the vertex attributes for each edge will take a long time. Do you have any efficient way to index vertex attributes? Thanks, Jing From: Gábor Csárdi <[email protected]<mailto:[email protected]>> Reply-To: Help for igraph users <[email protected]<mailto:[email protected]>> Date: Thursday, May 8, 2014 at 3:52 PM To: Help for igraph users <[email protected]<mailto:[email protected]>> Subject: Re: [igraph] calculate edge weight based on node weight Use get.edgelist() and then index your vertex attributes with the two columns it returns. Kinda hacky, but igraph does not really have a good language/syntax for manipulating attributes. Gabor On Thu, May 8, 2014 at 4:46 PM, Wang, Jing <[email protected]<mailto:[email protected]>> wrote: Dear Sir/Madam, If I have the node weights for a network and want to calculate the edge weights based on the weights of two nodes in each edge, how can I calculate it? Thanks, _______________________________________________ igraph-help mailing list [email protected]<mailto:[email protected]> https://lists.nongnu.org/mailman/listinfo/igraph-help _______________________________________________ igraph-help mailing list [email protected]<mailto:[email protected]> https://lists.nongnu.org/mailman/listinfo/igraph-help
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