I used eigen() but It did not work on large networks. I got memory allocation
error.
about evcent function:
Although it returns the principal eigenvector typically, it is able to
calculate other eigenvectors by option argument .
According to below links, "nev" parameter determines the number of required
eigenvectors and "which" parameter determines which nev eigenvectors should be
returned.
http://igraph.sourceforge.net/doc/R/evcent.html
http://igraph.sourceforge.net/doc/R/arpack.html
I tried to call evcent(ws,options=list(nev=10)) function to calculate 10
largest eigenvectors but it did not work. additionally, I do not know how I
should call arapack function to calculate eigenvectors of network adjacency
matrix.
I will appreciate if anyone could help me.
________________________________
From: Gábor Csárdi <[email protected]>
To: Bita Shams <[email protected]>; Help for igraph users
<[email protected]>
Cc: "[email protected]" <[email protected]>
Sent: Friday, December 14, 2012 5:57 AM
Subject: Re: [igraph] all eigenvector centrality
Yes, it returns the principal eigenvector, because that is how eigenvector
centrality is defined and that function calculates eigenvector centrality.
If you want all eigenvectors, use the eigen() function:
eigen(get.adjacency(wc))
Gabor
ps. I am not sure why this happens, but your emails ended up in my spam folder
on gmail. FYI.
On Thu, Dec 13, 2012 at 1:33 PM, Bita Shams <[email protected]> wrote:
I use this commanad to calculate all eigenvectors of network
>
>
> q=evcent(ws,options=list(nev=vcount(ws)))
>
>
>
>but it returns only the largest Eigenvector.
>
>Is there any other solution to calcualet all eigenvectors of network?
>
>
>Many ThanksB.S
>
>
>
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>igraph-help mailing list
>[email protected]
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>
>
--
Gabor Csardi <[email protected]> MTA KFKI RMKI
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