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Homophily in the formation and development of learning networks among university students

Hannes Weber, Marc Schwenzer, Steffen Hillmert

2020Network Science29 citationsDOIOpen Access PDF

Abstract

Abstract Students’ personal learning networks can be a valuable resource of success in higher education: they offer opportunities for academic and personal support and provide sources of information related to exams or homework. We study the determinants of learning networks using a panel study among university students in their first and second year of study. A long-standing question in social network analysis has been whether the tendency of individuals with similar characteristics to form ties is a result of preferences “choice homophily” or rather selective opportunities “induced homophily”. We expect a latent preference for homophilic learning partnerships with regard to attributes, such as gender, ability, and social origin. We estimate recently developed temporal exponential random graph models to control for previous network structure and study changes in learning ties among students. The results show that especially for males, same-gender partnerships are preferred over heterogeneous ties, while chances for tie formation decrease with the difference in academic ability among students. Social origin is a significant factor in the crosssectional exploration but does appear to be less important in the formation of new (strong) partnerships during the course of studies.

Topics & Concepts

HomophilyExponential random graph modelsPreferenceInterpersonal tiesPsychologySocial network (sociolinguistics)Social influenceSocial psychologyComputer scienceRandom graphGraphSocial mediaMathematicsWorld Wide WebTheoretical computer scienceStatisticsComplex Network Analysis TechniquesSocial Capital and NetworksSocial and Cultural Dynamics
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