***** To join INSNA, visit http://www.insna.org ***** Vaclav, There are several important social influence and contagion modeling approaches that you should look at. Noah Friedkin's book readily comes to mind. Good earlier sources are the chapters on diffusion and social influence in the Wasserman and Galaskiewicz 1994 book. Tom Valente's chapter in the more recent Carrington volume reviews diffusion of innovation research. In the p* tradition, we did some work on social influence models a little while ago: Robins, G.L., Pattison, P, & Elliott, P. (2001). Network models for social influence processes. Psychometrika, 66, 161-190. Our group has started to update some of these models and Galina Daraganova will be talking about these more recent developments at sunbelt in Corfu. Garry Robins Department of Psychology School of Behavioural Science University of Melbourne Victoria 3010 Australia 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----- From: Social Networks Discussion Forum [mailto:[log in to unmask]] On Behalf Of Vaclav Petricek Sent: Friday, 16 March 2007 3:56 AM To: [log in to unmask] Subject: predicting attribute data using network structure ***** To join INSNA, visit http://www.insna.org ***** Hello As I understand, the p1, p2, p* models are used to model network ties as independent variable, possibly using actor attributes as explanatory variables. Could you please point me to work/method that addresses the reverse problem of modeling attribute data from the network structure? In this case the attributes are dependent variables and should be explained by the network ties plus attribute data of alters and other actors in the network. I am especially interested in predicting categorical data with large number of categories. My background is in computer science and I am looking at using social networks for collaborative filtering. I would be interested in how social network scientists have approached or would approach this problem. I'll post a summary of the answers to the list - please let me know if you want me to keep your reply private. Thank you for your advice, Vaclav _____________________________________________________________________ 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.