***** To join INSNA, visit http://www.insna.org ***** Thanks to Brian Keegan for tweeting the link Barry Wellman _______________________________________________________________________ S.D. Clark Professor of Sociology, FRSC NetLab Director Department of Sociology 725 Spadina Avenue, Room 388 University of Toronto Toronto Canada M5S 2J4 twitter:barrywellman http://www.chass.utoronto.ca/~wellman fax:+1-416-978-3963 Updating history: http://chass.utoronto.ca/oldnew/cybertimes.php _______________________________________________________________________ App Stats: VanderWeele on "Sensitivity Analysis for Contagion Effects in Social Networks" We hope you can join us this Wednesday, November 9, 2011 for the Applied Statistics Workshop. Tyler VanderWeele, Associate Professor of Epidemiology at the Harvard School of Public Health, will give a presentation entitled "Sensitivity Analysis for Contagion Effects in Social Networks". A light lunch will be served at 12 pm and the talk will begin at 12.15. "Sensitivity Analysis for Contagion Effects in Social Networks" Tyler VanderWeele Harvard School of Public Health CGIS K354 (1737 Cambridge St.) Wednesday, November 9th, 2011 12.00 pm The paper is available here. Abstract: Analyses of social network data have suggested that obesity, smoking, happiness, and loneliness all travel through social networks. Individuals exert ''contagion effects'' on one another through social ties and association. These analyses have come under critique because of the possibility that homophily from unmeasured factors may explain these statistical associations and because similar findings can be obtained when the same methodology is applied to height, acne, and headaches, for which the conclusion of contagion effects seems somewhat less plausible. The author uses sensitivity analysis techniques to assess the extent to which supposed contagion effects for obesity, smoking, happiness, and loneliness might be explained away by homophily or confounding and the extent to which the critique using analysis of data on height, acne, and headaches is relevant. Sensitivity analyses suggest that contagion effects for obesity and smoking cessation are reasonably robust to possible latent homophily or environmental confounding; those for happiness and loneliness are somewhat less so. Supposed effects for height, acne, and headaches are all easily explained away by latent homophily and confounding. The methodology that has been used in past studies for contagion effects in social networks, when used in conjunction with sensitivity analysis, may prove useful in establishing social influence for various behaviors and states. The sensitivity analysis approach can be used to address the critique of latent homophily as a possible explanation of associations interpreted as contagion effects. _____________________________________________________________________ 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.