A Community Based Algorithm for Deriving Users' Profiles from Egocentrics Networks
ASONAM '12 Proceedings of the 2012 International Conference on Advances in Social Networks Analysis and Mining (ASONAM 2012)
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Nowadays, online social networks host more and more applications in order to provide their users with the possibility of finding everything they need on a single platform. The number and diversity of interactions that take place over time between users and applications within these platforms make these environments very good candidates for learning various types of information about users’ interests. We are particularly interested in the determination of users’ short-term and long-term interests which are essential for adaptative systems that take into account the evolution of user’s needs. While studies in adaptative systems focus on computing interests’ weight value and time periods to determine user’s short-term and long-term profile, we focus instead on temporal graphs’ visualization of users’ interests. From a case study on Facebook, we use dynamic graphs in order to view the influence of social ties on the user’s interests.