The DOI matches its Crossref record; 4 of the 4 references it cites were found in a registry or an index.
Origins of Homophily in an Evolving Social Network
Abstract
The authors investigate the origins of homophily in a large university community, using network data in which interactions, attributes, and affiliations are all recorded over time. The analysis indicates that highly similar pairs do show greater than average propensity to form new ties; however, it also finds that tie formation is heavily biased by triadic closure and focal closure, which effectively constrain the opportunities among which individuals may select. In the case of triadic closure, moreover, selection to “friend of a friend” status is determined by an analogous combination of individual preference and structural proximity. The authors conclude that the dynamic interplay of choice homophily and induced homophily, compounded over many “generations” of biased selection of similar individuals to structurally proximate positions, can amplify even a modest preference for similar others, via a cumulative advantage–like process, to produce striking patterns of observed homophily.
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Citations
Cites
Social Network Analysis: Methods and Applications
Wasserman, S., & Faust, K. (1994) · doi:10.1017/cbo9780511815478 · Cited by 17,557
Embeddedness and Immigration: Notes on the Social Determinants of Economic Action
Portes, A., & Sensenbrenner, J. (1993) · American Journal of Sociology · doi:10.1086/230191 · Cited by 3,493 · cited 1×
“One should therefore expect that trust and solidarity would be easier to establish with similar than with dissimilar counterparts (Portes and Sensenbrenner 1993; Banks and Carley 1996; Mollica, Gary, and Trevino 2003), thereby significantly reducing the risks associated with forming new ties—a…”
BackgroundThe origin of bursts and heavy tails in human dynamics
Barabási, A.-L. (2005) · Nature · doi:10.1038/nature03459 · Cited by 2,210
Networks, Dynamics, and the Small‐World Phenomenon
Watts, D. J. (1999) · American Journal of Sociology · doi:10.1086/210318 · Cited by 1,510
Self-citation
Cited by
The spread of behavior in an online social network experiment
Centola, D. (2010) · Science · doi:10.1126/science.1185231 · Cited by 2,692
The echo chamber effect on social media
Cinelli, M., De Francisci Morales, G., Galeazzi, A., Quattrociocchi, W., & Starnini, M. (2021) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.2023301118 · Cited by 2,092
“Homophily in social interactions can be quantified by representing interactions as a social network and then analyzing its structure concerning the opinions of the users (18, 39, 40).”
BackgroundThe role of social networks in information diffusion
Bakshy, E., Rosenn, I., Marlow, C., & Adamic, L. (2012) · Proceedings of the 21st international conference on World Wide Web · doi:10.1145/2187836.2187907 · Cited by 1,526
Colleoni, E., Rozza, A., & Arvidsson, A. (2014) · Journal of Communication · doi:10.1111/jcom.12084 · Cited by 1,151
Romero, D. M., Meeder, B., & Kleinberg, J. (2011) · Proceedings of the 20th international conference on World wide web · doi:10.1145/1963405.1963503 · Cited by 1,082
Metadata
- Authors
- Kossinets, G., & Watts, D. J.
- Venue
- American Journal of Sociology
- Publisher
- University of Chicago Press
- Published
- 2009-09
- Volume
- 115
- Issue
- 2
- Pages
- 405-450
- ISSN
- 0002-9602 (ISSN-L)
- 1537-5390
- OpenAlex
- W2157085604
- Cited by
- 908
- References
- 4
- FWCI
- 17.14
- Type
- journal article
- Language
- en
- Open access
- closed
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