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... and the ERG model can also be used to analyze attribute matching 
(e.g., homophily, or other attribute based patterns), as well as the 
impact of attributes on degrees, triads and other structures.


On Thu, 8 Feb 2007, Tom Snijders wrote:

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>
> Hi readers,
>
> Christophe, the use of the p1 model for modeling the effects of node level 
> independent variables on binary dyadic (relational) dependent variables is 
> not such a good idea any more. Better than the p1 model is the p2 model, see
>
> Duijn, M.A.J. van, Snijders, T.A.B. & Zijlstra, B.J.H., (2004). P2: a random 
> effects model with covariates for directed graphs. Statistica Neerlandica, 
> 58, 234-254.
>
> which is part of the Stocnet suite, see http://stat.gamma.rug.nl/stocnet/
>
> ; and the ERG model, see the papers-in-press of the special issue of Social 
> Networks edited by Garry Robins and Martina Morris. The ERG model represents 
> network structure such as triadic closure, while the p2 model is restricted 
> to modeling differences in popularity and acitivity of nodes (like p1). 
> Estimation for the ERGM is implemented in SIENA (again, in the Stocnet suite) 
> and in Statnet (an R package).
>
> Best wishes,
>
> Tom
>
>
> Van den Bulte, Christophe wrote:
>> ---------------------- Information from the mail header 
>> -----------------------
>> Sender:       Social Networks Discussion Forum <[log in to unmask]>
>> Poster:       "Van den Bulte, Christophe" <[log in to unmask]>
>> Subject:      Re: models for categorical attributes and dyadic data?
>> 
>> -------------------------------------------------------------------------------
>> 
>> *****  To join INSNA, visit http://www.insna.org  *****
>> 
>> Balasz Vedres asked:
>> 
>> "Is there a way to model multiple, node level categorical independents,
>> and a dyadic dependent variable?"
>> 
>> Yes, there is. One approach is based on the p1 model. See Chapter 15 in
>> Wasserman & Faust (1994). But the approach may break down when you have
>> many independent variables with many categories.
>> 
>> Christophe Van den Bulte
>> Associate professor of marketing
>> The Wharton School of the University of Pennsylvania
>> 759 Jon M. Huntsman Hall
>> 3730 Walnut Street
>> Philadelphia PA, 19104-6340  T: 215-898-6532
>> F: 215-898-2534  http://www.wharton.upenn.edu/faculty/vanden.html
>> 
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>
> -- 
> ==============================================
> Tom A.B. Snijders
> Professor of Statistics in the Social Sciences
> University of Oxford
>
> Professor of Statistics and Methodology
> Department of Sociology
> University of Groningen
> http://stat.gamma.rug.nl/snijders/
> ==============================================
>
> _____________________________________________________________________
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