Re: [R] Social Network Analysis

From: Robert Gentleman <rgentlem_at_fhcrc.org>
Date: Mon, 14 May 2007 07:19:57 -0700

the packages graph and RBGL from the Bioconductor project have some reasonable subset of tools for SNA type analyses (and a lot of other things).

Gabor Csardi wrote:

> Tom,
> 
> check the igraph package. Although structural balance is not implemented,
> for three or four nodes it might be straightforward to do a quick 
> implemntation which works for small graphs. 
> 
> Btw. what is exactly you want to do? List the number of balanced and
> unbalanced triangles? Ot the triangles themselves? What is a semi-cycle?
> Could you point me to a good online reference about structureal balance?
> 
> Thanks,
> Gabor
> 
> On Sat, May 12, 2007 at 11:44:21PM +0200, Tom Backer Johnsen wrote:

>> R-Netters:
>>
>> for (partial sentimental reasons) I am at the the moment working on
>> some old data of mine (actually collected 40 years ago this year for
>> my thesis) covering development of of social networks in small groups
>> over time. These data consists of signed and directed graphs.
>>
>> Apart from the programs I write myself, I am looking for R functions
>> for computing what at that time was called "Structural Balance",
>> mainly to check on my own programs, where the results are almost to
>> good to be true. I want to limit myself to cycles (semicycles?) of
>> length two and three.
>>
>> I am aware of the "network" package as well as the "sna" which do not
>> seem to quite cover what I need. On the other hand, the terminology
>> may have changed since I looked into the field 40 years ago. I am
>> also aware of the Pajek program and the corresponding book by Nooy,
>> Mrvrar, and Batagelj.
>>
>> Any other suggestions or pointers?
>>
>> Tom
>> --
>> +----------------------------------------------------------------+
>> | Tom Backer Johnsen, Psychometrics Unit, Faculty of Psychology |
>> | University of Bergen, Christies gt. 12, N-5015 Bergen, NORWAY |
>> | Tel : +47-5558-9185 Fax : +47-5558-9879 |
>> | Email : backer@psych.uib.no URL : http://www.galton.uib.no/ |
>> +----------------------------------------------------------------+
>>
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>
-- 
Robert Gentleman, PhD
Program in Computational Biology
Division of Public Health Sciences
Fred Hutchinson Cancer Research Center
1100 Fairview Ave. N, M2-B876
PO Box 19024
Seattle, Washington 98109-1024
206-667-7700
rgentlem_at_fhcrc.org

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Received on Mon 14 May 2007 - 14:32:08 GMT

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