Computer Science – Social and Information Networks
Scientific paper
2011-02-10
Computer Science
Social and Information Networks
82 pages (including many pages of tables), 8 multi-part figures, "Facebook100" data used in this paper is publicly available a
Scientific paper
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 the user characteristics. We thereby compare the relative importances 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.
Mucha Peter J.
Porter Mason A.
Traud Amanda L.
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