Re: [igraph] Calculation of weighted betweenness centrality using igraph in win 64-bit environment

[Gábor Csárdi]

Hi Alex,

On Tue, May 15, 2012 at 11:10 AM, Alex Upton <address@hidden> wrote:
> Good afternoon,
>
> I am hoping that you can help me. I have created a weighted graph in igraph, 
> and would like to calculate the weighted betweenness centrality of the nodes. 
> I am using 64-bit R in Windows 7 64-bit, and have seen that there is a linux 
> igraph package with this implemented, however I can't find a win 64-bit 
> igraph package that allows this. Is there one available? Alternatively, I 
> have seen that there is another package, tnet, that offers this 
> functionality. Does anyone have any experience of converting igraph graphs to 
> tnet graphs, how was this done, and also how accurate were the results?

weighted betweenness centrality calculation is implemented in the
not-yet released 0.6 igraph version. The source code of this is
available from launchpad.net or from
http://code.google.com/p/igraph/downloads/list

There is no windows package available, because I cannot (easily) make
automated windows package builds. (Btw. there is no Linux R package
available, either. Only a package with the source code.)

You can use the source package to build a windows package at
http://win-builder.r-project.org/
but then do not forget to replace my email address as the maintainer
of the package, otherwise the package, after built, will be sent for
me.

I have just built a windows package using the build service, you can
get it here:
http://win-builder.r-project.org/v69iOfJC0Gzu/

Best,
Gabor


>
> Kind regards,
>
> Alex
>
>
> ___________________________________________________________________
>
>
>
> Alex Upton, BEng, MRes, PG Cert Business Administration
> PhD Researcher Biomedical Informatics, Signals and Systems
> School of Electronic, Electrical and Computer Engineering,
> College of Engineering and Physical Sciences, University of Birmingham
> Edgbaston, Birmingham, B15 2TT, United Kingdom
>
> Fax: +44 121 4144291 (school general office)
> Email: address@hidden
>
> Personal Web: http://postgrad.eee.bham.ac.uk/uptona/
> __________________________________________________________________
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-- 
Gabor Csardi <address@hidden>     MTA KFKI RMKI