On Thu, Apr 3, 2014 at 8:52 PM, [email protected] <[email protected]>wrote:
> Hi > > I am sorry that I did not put the question clear. > > The correlation between in-degree and out-degree is different from the > assortativity coefficient. > The former one can be exsit in any type of directed graph but the latter > one are only in scale-free graph. > Why? > When we regard the in-degree and out-degree of a vertex as two random > variables j and k, > if P(j, k) = P(j) * P(k), where P(j) means the probability of indegree=j, > then there is no correlation between in-degree and out-degree. > if P(j, k) != P(j) * P(k), then in-degree and out-degree are correlated. > > I want to generate ER graphs and scale-free graphs with the in-degree and > out-degree correlated. > Is there any functions can do these? > Yes, just generate your in-degree and out-degree sequences any way you like, and then use degree.sequence.game. Gabor > > best > Xueming > > ------------------------------ > [email protected] > > *From:* Gábor Csárdi <[email protected]> > *Date:* 2014-04-03 21:01 > *To:* Help for igraph users <[email protected]> > *Subject:* Re: [igraph] How to Generate scale-free network with the > vertex's in-degree and out-degree negatively correlated > Well, that's a little loosely defined. Maybe you want to sample networks > while conditioning on the degree distributions (or degree sequences) and > the assortativity coefficient. I am not sure how to do that, but there > might be some papers about it. I would search for 'generate networks > assortativity degree distribution': > https://www.google.com/search?q=generate+networks+assortativity+degree+distribution > > Gabor > > > On Thu, Apr 3, 2014 at 4:28 AM, [email protected] > <[email protected]>wrote: > >> Hi, >> >> I want to generate directed scale-free networks. >> The in-degrees and out-degrees of vertex are negatively correlated. >> Which command could I use to generate such scale-free networks? >> >> best >> Xueming >> >> ------------------------------ >> [email protected] >> >> _______________________________________________ >> igraph-help mailing list >> [email protected] >> https://lists.nongnu.org/mailman/listinfo/igraph-help >> >> > > _______________________________________________ > igraph-help mailing list > [email protected] > https://lists.nongnu.org/mailman/listinfo/igraph-help > >
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