Homophily and Contagion Are Generically Confounded in Observational Social Network Studies
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Open Access
- 17 May 2011
- journal article
- other
- Published by SAGE Publications in Sociological Methods & Research
- Vol. 40 (2) , 211-239
- https://doi.org/10.1177/0049124111404820
Abstract
The authors consider processes on social networks that can potentially involve three factors: homophily, or the formation of social ties due to matching individual traits; social contagion, also known as social influence; and the causal effect of an individual’s covariates on his or her behavior or other measurable responses. The authors show that generically, all of these are confounded with each other. Distinguishing them from one another requires strong assumptions on the parametrization of the social process or on the adequacy of the covariates used (or both). In particular the authors demonstrate, with simple examples, that asymmetries in regression coefficients cannot identify causal effects and that very simple models of imitation (a form of social contagion) can produce substantial correlations between an individual’s enduring traits and his or her choices, even when there is no intrinsic affinity between them. The authors also suggest some possible constructive responses to these results.Keywords
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This publication has 37 references indexed in Scilit:
- Identification of Social InteractionsPublished by Elsevier ,2011
- Distinguishing influence-based contagion from homophily-driven diffusion in dynamic networksProceedings of the National Academy of Sciences, 2009
- A nonparametric view of network models and Newman–Girvan and other modularitiesProceedings of the National Academy of Sciences, 2009
- Identification of peer effects through social networksPublished by Elsevier ,2009
- Like Father, Like Son: Social Network Externalities and Parent-Child Correlation in BehaviorAmerican Economic Journal: Microeconomics, 2009
- Detecting implausible social network effects in acne, height, and headaches: longitudinal analysisBMJ, 2008
- Viruses as an Etiology of ObesityMayo Clinic Proceedings, 2007
- The Spread of Obesity in a Large Social Network over 32 YearsNew England Journal of Medicine, 2007
- Dynamic Models in BiologyPublished by Walter de Gruyter GmbH ,2006
- Diffusive Clustering in the Two Dimensional Voter ModelThe Annals of Probability, 1986