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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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