The DOI matches its Crossref record; 59 of the 59 references it cites were found in a registry or an index.
Social structure of Facebook networks
Open accessAbstract
We study the social structure of Facebook “friendship” networks at one hundred American colleges and universities at a single point in time, and we examine the roles of user attributes–gender, class year, major, high school, and residence–at these institutions. We investigate the influence of common attributes at the dyad level in terms of assortativity coefficients and regression models. We then examine larger-scale groupings by detecting communities algorithmically and comparing them to network partitions based on user characteristics. We thereby examine the relative importance of different characteristics at different institutions, finding for example that common high school is more important to the social organization of large institutions and that the importance of common major varies significantly between institutions. Our calculations illustrate how microscopic and macroscopic perspectives give complementary insights on the social organization at universities and suggest future studies to investigate such phenomena further.
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Social Media and Mental Health
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Metadata
- Authors
- Traud, A. L., Mucha, P. J., & Porter, M. A.
- Venue
- Physica A: Statistical Mechanics and its Applications
- Publisher
- Elsevier BV
- Published
- 2012-08
- Volume
- 391
- Issue
- 16
- Pages
- 4165-4180
- ISSN
- 0378-4371 (ISSN-L)
- OpenAlex
- W2150256170
- Cited by
- 707
- References
- 59
- FWCI
- 28.38
- Type
- journal article
- Language
- en
- Open access
- green
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
