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Do People Who Identify as Popular Become Popular in a New Network? A 9-Month Longitudinal Network Analysis

Sat, May 27, 8:00 to 9:15, Hilton San Diego Bayfront, Floor: 2, Indigo Ballroom D

Abstract

A longitudinal social network analysis (N = 94) of the residents of a first-year university residence hall using Facebook tie data was conducted to assess both networking in terms of friend-tie formation and network centrality (degree and betweenness centrality). Two predictors were tested: the network centrality of participants’ position choices in a hypothetical sociogram (Smith & Fink, 2015) and self-reports of connectedness (Boster et al., 2011). These measures were taken during the first week of classes and used to predict Facebook network results from October until May. Results indicate that both are good longitudinal predictors of networking activity but only the degree centrality of the position in the hypothetical sociogram positively predicted the extent to which the participant reached high degree centrality in the network.

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