*****  To join INSNA, visit http://www.sfu.ca/~insna/  *****

Dear Markus,

If you have good ways of estimating p* models, it is quite
straightforward to do this. But this implies that instead of the
pseudolikelihood estimates, MCMC-based maximum likelihood estimates
are used. This is explained in the paper

Tom A.B. Snijders, Philippa E. Pattison, Garry L. Robins, and Mark S.
Handcock (2004). New specifications for exponential random graph
models. Submitted for publication.

which is downloadable from

http://stat.gamma.rug.nl/snijders/sprh_d.pdf

together with some examples of using continuous node (or tie)
variables. Such estimates can be obtained using the new (since
November 2003) versions of the  Siena program, see

http://stat.gamma.rug.nl/stocnet/

We are at this moment working on a new release and an extended
manual.

Cheerio,

Tom

Date sent:              Wed, 19 May 2004 17:37:38 -0600
Send reply to:          Markus Vodosek <[log in to unmask]>
From:                   Markus Vodosek <[log in to unmask]>
Subject:                [SOCNET] How to include continuous personality variables in p* models?
To:                     [log in to unmask]

> *****  To join INSNA, visit http://www.sfu.ca/~insna/  *****
>
> Hi,
>
> I would like to include personality variables (such as anxiety,
> organizational commitment, or conscientiousness) in p* models. My
> presumption is that, in addition to dyadic and triadic network
> effects, personality variables can explain tie formation in a social
> network.
>
> Can you help me understand how to include continuous personality
> variables in a p* model? In the dataset, do I add them to each
> observation as additional variables (as characteristics of i and j in
> relation Xij), do I need to transform the network statistics in some
> way using the personality variables, or do I compute difference scores
> from the scores of i and j on a given personality variable?
>
> I'd greatly appreciate it if you could help me think this through.
>
> Thanks a lot!
>
> Markus Vodosek
>
> *******************************************
> Markus Vodosek, Ph.D.
> Assistant Professor
> Department of Management
> David Eccles School of Business
> University of Utah
> 1645 E. Campus Center Drive #106
> Salt Lake City, UT 84112-9304
> Tel. (801) 585-9546
> Fax (801) 581-7214
> [log in to unmask]
> *******************************************
>
> _____________________________________________________________________
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*******************************************************************
Tom A.B. Snijders
Professor of Statistics and Methodology
Scientific Director, ICS
Dept. of Sociology
Grote Rozenstraat 31
9712 TG Groningen
The Netherlands

Fax  +31 - (0)50 - 3636226
Tel. +31 - (0)50 - 3636188 (office)
     +31 - (0)50 - 3636469 (secretary)
     +31 - (0)50 - 3129152 (home)

E-mail     [log in to unmask]
Home page  http://stat.gamma.rug.nl/snijders/
*******************************************************************

_____________________________________________________________________
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