There are a couple of (partially overlapping) usual reasons for the results being different: - different software calculate slightly different measures, i.e. one normalizes the results, the other does not, etc. - different software handle multiple edges differently - they handle self-loops differently - they have different defaults, e.g. some ignore edge directions by default.
Igraph uses the formulas that are in its manual, and the results are undefined (ie. I am not sure what happens) for graphs with loop and/or multiple edges. Best, Gabor On Fri, Oct 4, 2013 at 9:16 PM, Jinie Pak <[email protected]> wrote: > I am currently using several SNA tools including R to analyze the data. > Eventually, I will use R because it can compute weighted network. > However, the results from R are different from other tools in terms of > computing betweenness and closeness centralities. > > In fact, the basic centrality scores from all tools are different except > for the degree centrality. > > I am just wondering what algorithm R uses for computing betweenness and > closeness centrality. > > I don’t expect R developers (experts) to know how other tools compute the > centrality measures, but is there any possible explanation of why SNA tools > produce different results? > > I would like to know what causes this issue and any solution for this. > Thank you! > > > > Jinie > > _______________________________________________ > igraph-help mailing list > [email protected] > https://lists.nongnu.org/mailman/listinfo/igraph-help > >
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