A conceptual framework for community detection, characterisation and membership in a social internetworking scenario
by Pasquale De Meo; Antonino Nocera; Giovanni Quattrone; Domenico Ursino
International Journal of Data Mining, Modelling and Management (IJDMMM), Vol. 6, No. 1, 2014

Abstract: Social internetworking systems are becoming a challenging new reality; they group together multiple, and possibly heterogenous, social networks. The typical problems of social network research become much more complex in a social internetworking context. In this paper, we propose a conceptual framework, and an underlying model, to handle some of these problems, namely community detection, characterisation and membership in a social internetworking scenario. In order to face them, we must preliminarily investigate a further problem, i.e., user similarity detection.

Online publication date: Wed, 02-Jul-2014

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