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Models for the coevolution of networks and actor attributes are proposed in
Snijders, Tom A.B., Steglich, Christian E.G., and Schweinberger,
Michael, Modeling the co-evolution of networks and behavior.
Longitudinal models in the behavioral and related sciences, edited by
Kees van Montfort, Han Oud and Albert Satorra; Lawrence Erlbaum, 2007.
(The book has already appeared.)
Steglich, C.E.G., Snijders, T.A.B. and Pearson, M. (2004). Dynamic
Networks and Behavior: Separating Selection from Influence.
This is a manuscript currently being revised, available from
These methods are implemented in SIENA. We are close to the release of
SIENA version 3 which is much faster for larger networks (50-1000 nodes).
Garry Robins wrote:
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> Sender: Social Networks Discussion Forum <[log in to unmask]>
> Poster: Garry Robins <[log in to unmask]>
> Subject: FW: models for categorical attributes and dyadic data?
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> Models with node level exogenous variables affecting network ties are social selection models.
> There are various modeling approaches: in the exponential random graph framework you could look at Robins, Elliott, & Pattison (2001), Network models for social selection processes. Social Networks, 23, 1-30. For examples of models with the more recent ergm specifications, see Snijders, Pattison, Robins & Handcock. (2006). New specifications for exponential random graph models. Sociological Methodology, 36, 99-153.
> Of course, if you have longitudinal data then you will probably want to use the recent siena procedures, in which case you will be able to investigate whether it is social influence or social selection (or both) that is the driving process. Tom Snijders, Christian Steglich and colleagues have made this very valuable advance.
> Dr Garry Robins
> Department of Psychology
> School of Behavioural Science
> University of Melbourne
> Victoria 3010
> Tel: 61 3 8344 4454
> Fax: 61 3 9347 6618
> Web: www.psych.unimelb.edu.au/people/staff/RobinsG.html
> Melnet website: http://www.sna.unimelb.edu.au/
> -----Original Message-----
> Is there a way to model multiple, node level categorical independents, and a
> dyadic dependent variable?
> Log-linear models?
> A logistic regression model?
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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
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