Re: [igraph] how to generate directed small world networks

[simone gabbriellini]

Gabor,

yes, I mean that. Thank you for the suggestion. May I ask a question about barabasi.game too?

I see that in each step it add a vertex and some edges to old vertices already in the network with a certain probability. And that it is possible to make attractive also the isolated vertex with the zero.appeal parameter.

g.emp is my empiric network. The indegree distribution produced with:

g.sf<-barabasi.game(n=g.emp.vcount, power=0.08, m=14, zero.appeal = 1.6)

is close to my data, as you can see here: http://www.digitaldust.it/papers/analysis.pdf

(red = empiric, blue = scale free)

but the outdegree distribution is far from the empiric one...

I see also that the reciprocity(g.sf) is equal to 0, which is another bad result for me...

do you have any suggestion in order to modify it to "improve" the fit of the outdegree distribution?

or to increase the reciprocity?

I apologize if my questions are obvious or implicit in the nature of the scale-free model.

Best,

Simone

Il giorno 15/mar/09, alle ore 11:09, Gábor Csárdi ha scritto:

Simone, you mean Watts-Strogatz type? Create a lattice first, and then
call rewire. edges on it. E.g.

g2 <- rewire.edges(graph.lattice(100, nei=2, dir=TRUE, mutual=TRUE), p=2/100)
plot(g2, layout=layout.circle, vertex.label=NA, vertex.size=3,
edge.arrow.size=0.4)

Best,
Gabor

On Sat, Mar 14, 2009 at 3:17 PM, Simone Gabbriellini
<address@hidden> wrote:

Dear List,

is it possible to generate directed small world in the igraph R package?

thanks,

simone

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Gabor Csardi <address@hidden>     UNIL DGM


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