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Overlaying Social Networks of Different Perspectives for Inter-network Community Evolution

In many real-life social networks, a group of individuals may be involved in multiple kinds of activities such as professional, leisure and friendship ones. Even though individuals may belong to a social network with a very precise type of links such as professional ties in LinkedIn, the interactions that may happen in other social networks such as Facebook are not reflected in the original network. We believe that overlaying networks with various types of links helps discover interesting patterns. The objective of this paper is then to overlay two or many social networks with different kinds of social activities in order to unveil homogeneous groups that could not appear in a unique social network. To that end, we propose a community detection approach based on possibility theory, which identifies time-based perspective communities for each kind of social activities that occur within a sequence of time windows. Furthermore, different perspectives are layered to detect communities that may belong to several networks in a given time period. Discovered communities in a given network for a time period can be perceived as views or perspectives in one or many networks.

Auteur(s) : Idrissa Sarr, Joseph Ndong, Rokia Missaoui
Pages : 45-70
Année de publication : 2015
Revue : Social Network Analysis - Community Detection and Evolution Lecture Notes in Social Networks
Type : Article
Statut Editorial : publié
Mise en ligne par : SARR Idrissa