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Re: eigenvector centrality in Pajek?

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Wed, 22 Nov 2006 10:42:43 +0100

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 ```***** To join INSNA, visit http://www.insna.org ***** <<<-------- Hana-------->>> > For my dissertation I am trying to compute eigenvector and/or Bonacich > power centrality on a bipartite network. The data is very large, and too > much for Ucinet and my (multiple times frozen) computer to handle. > > I've been recommended to use Pajek, but after looking at the manual and > the book on Exploratory analyses using Pajek, still remain puzzled how to > do it. A big pardon if I missed an obvious solution, but I would really > appreciate if you could point me to a "click by click way" to do it.   In Pajek you have a measure close to Bonacich power centrality   for one-mode networks available with command      Net / Vector / Important vertices / 1-Mode:Hubs/Authorities   The measure was introduced by Kleinberg for analysis of internet   networks      http://www.cs.cornell.edu/home/kleinber/auth.pdf      http://www.cs.cornell.edu/home/kleinber/   There is also the corresponding measure (based on the same   approach) for 2-mode networks available with command      Net / Vector / Important vertices / 2-Mode:Important vertices   In Pajek you can get (Laplacian) eigenvectors for (not too large -   up to some thousands vertices) one-mode networks also using in   the draw window the command      Layout / Eigenvalues   and then transfering coordinates to vectors      Net / Vector / Get coordinate   For analysis of two mode networks you could also consider two new   methods available in Pajek ( (p,q)-cores and 4-rings ), see:      http://vlado.fmf.uni-lj.si/pub/networks/doc/dagstuhl/NewProcs.pdf      http://vlado.fmf.uni-lj.si/pub/networks/doc/ECPR/ECPR07.pdf   Vlado -- Vladimir Batagelj, University of Ljubljana, Department of Mathematics   Jadranska 19, PO Box 2964, 1111 Ljubljana, Slovenia http://vlado.fmf.uni-lj.si _____________________________________________________________________ SOCNET is a service of INSNA, the professional association for social network researchers (http://www.insna.org). To unsubscribe, send an email message to [log in to unmask] containing the line UNSUBSCRIBE SOCNET in the body of the message.```