***** To join INSNA, visit http://www.insna.org *****
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
Tel: 61 3 8344 4454
Fax: 61 3 9347 6618
Melnet website: http://www.sna.unimelb.edu.au/
Is there a way to model multiple, node level categorical independents, and a
dyadic dependent variable?
A logistic regression model?
SOCNET is a service of INSNA, the professional association for social
network researchers (http://www.insna.org). To unsubscribe, send
an email message to [log in to unmask] containing the line
UNSUBSCRIBE SOCNET in the body of the message.