Social structure of Facebook networks |
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Authors: | Amanda L. Traud Peter J. Mucha Mason A. Porter |
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Affiliation: | 1. Carolina Center for Interdisciplinary Applied Mathematics, Department of Mathematics, University of North Carolina, Chapel Hill, NC 27599-3250, USA;2. Carolina Population Center, University of North Carolina, Chapel Hill, NC 27516-2524, USA;3. Biomathematics, North Carolina State University, Raleigh, NC 27695, USA;4. Institute for Advanced Materials, Nanoscience & Technology, University of North Carolina, Chapel Hill, NC 27599-3216, USA;5. Oxford Centre for Industrial and Applied Mathematics, Mathematical Institute, University of Oxford, OX1 3LB, UK;6. CABDyN Complexity Centre, University of Oxford, OX1 1HB, UK |
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Abstract: | 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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Keywords: | Community detection Clustering Online social networks |
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