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Group Colocation Behavior in Technological Social Networks
Authors:Chlo? Brown  Neal Lathia  Cecilia Mascolo  Anastasios Noulas  Vincent Blondel
Institution:1. Computer Laboratory, University of Cambridge, Cambridge, United Kingdom.; 2. Louvain School of Engineering, Université Catholique de Louvain, Louvain-la-Neuve, Belgium.; University of Zaragoza, Spain,
Abstract:We analyze two large datasets from technological networks with location and social data: user location records from an online location-based social networking service, and anonymized telecommunications data from a European cellphone operator, in order to investigate the differences between individual and group behavior with respect to physical location. We discover agreements between the two datasets: firstly, that individuals are more likely to meet with one friend at a place they have not visited before, but tend to meet at familiar locations when with a larger group. We also find that groups of individuals are more likely to meet at places that their other friends have visited, and that the type of a place strongly affects the propensity for groups to meet there. These differences between group and solo mobility has potential technological applications, for example, in venue recommendation in location-based social networks.
Keywords:
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