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Like strangers we trust: Identity and generic affiliation networks
Institution:1. New York University, United States;2. University of California, Berkeley, United States;3. University of North Carolina – Chapel Hill, United States;1. Department of Criminal Justice, Social Work and Legal Specialties, Central China Normal University, University of Toledo, United States;2. Department of Criminal Justice, Wayne State University, United States;1. University of Kansas, Department of Sociology, 1415 Jayhawk Blvd. Room 716, Lawrence, KS 66045, United States;2. New York University & NBER, Department of Sociology, 6 Washington Square North Room 20, New York, NY 10003, United States;3. New York University, Center for Genomics and Systems Biology and the Department of Biology, 12 Waverly Place, New York, NY 10003, United States;1. Department of Sociology, University of California, Irvine, United States;2. School of Education, University of California, Irvine, United States;3. Center for Education Policy Analysis, Stanford University, United States
Abstract:Sociological research on collective behavior provides strong evidence for the sources of collective action and shared attitudes based on overlapping experience. We know, for example, that members of social movement organizations are likely to share similar beliefs. However, a significant portion of the prior research on shared behaviors or attitudes analyzes individuals who do not know one another. This research using large surveys often infers overlapping experience based on generic connections: People in unions generally or church groups generally are likely to hold similar beliefs or engage in similar behaviors as if they were in the same unions or church groups. In this paper, I challenge this simple inference by arguing that the generic affiliations we hold contribute to our identity. Specifically, our identities can, in part, be seen as a network of overlapping roles based on generic affiliations. Findings indicate the importance of considering generic affiliation networks when modeling trust and political partisanship. Individuals who share multiple affiliations often appear to be similar to one another along a number of socio-demographic dimensions and report similar attitudes. Conclusions highlight the promise and challenge of relational approaches to social life.
Keywords:Identity  Social networks  Voluntary associations  Social trust  Political partisanship
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