I am trying to test robustness of a method I am trying to develop. Having igraphs with varied centrality helps.
On Mon, Apr 2, 2018 at 5:48 PM, Szabolcs Horvát <szhor...@gmail.com> wrote: > If you want uniform sampling, then this is a research-level problem (not a > technical one). If you don't, I wonder what conclusion you could draw from > the results. > > On 2 April 2018 at 08:10, John Erwin Banez <jsba...@up.edu.ph> wrote: > >> How do I generate several igraphs with varying graph level >> centralization? I am familiar with sample_(...), that variations of >> 'sample_' allow me to generate graphs GIVEN a MODEL....but not given graph >> level centralization. >> >> I would like to have for example: >> >> graph_1 <- centralization=.50 >> graph_2 <- centralization=.30 >> >> . >> >> . >> >> . >> >> graph_n <- centralization=.00 >> >> >> -- >> John Erwin Bañez >> Assistant Professor >> College of Social Work and Community Development >> University of the Philippines, Diliman >> >> _______________________________________________ >> igraph-help mailing list >> igraph-help@nongnu.org >> https://lists.nongnu.org/mailman/listinfo/igraph-help >> >> > > _______________________________________________ > igraph-help mailing list > igraph-help@nongnu.org > https://lists.nongnu.org/mailman/listinfo/igraph-help > > -- John Erwin Bañez Assistant Professor College of Social Work and Community Development University of the Philippines, Diliman
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