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Re: Generation of directed, valued random networks

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Sat, 9 Mar 2013 09:32:35 +0100

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 ```***** To join INSNA, visit http://www.insna.org ***** <<<-------- [log in to unmask]>>> > ***** To join INSNA, visit http://www.insna.org ***** > > Hi all, > > I am currently working on analyzing several directed, valued networks with > more > than 10,000 nodes each. I want to compare the indegree and outdegree > distribution against random networks. Is there any way to generate > directed, > weighted random networks? To the best of my knowledge, undirected & > unweighted, undirected & weighted, and directed & unweighted random > networks > can be generated. But, I cannot find literature on directed & weighted > ones. I will > really appreciate your help.   There are different classes/models of random networks. See for example:     Batagelj, V, Brandes, U: Efficient generation of large random networks.     PHYS REV E 71 (3): - Part 2 MAR 2005   and     Kolaczyk, E.D.: Statistical Analysis of Network Data: Methods and     Models. Springer, 2009.   You have first to determine the class of your networks.   Some network analysis programs contain random network generators for   selected classes. For example, in Pajek see     Network/Create Random Network   Assume that you have a generator for your class of networks. To transform   a network into valued network you have to determine/select the type of   distribution of values. The simplest approach then is to randomly   assign values to links according to this distribution. If the basic   network is undirected you can consider the direction as another random   value determined by "tossing a coin".   It can happen that the value of a link is dependent on the position   of the link in the network. In this case a special model should be   developed.   Vlado -- Vladimir Batagelj, University of Ljubljana, FMF, Department of Mathematics   Jadranska 19, 1000 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.```