A conceptual framework for community detection, characterisation and membership in a social internetworking scenario

Pasquale De Meo, Antonino Nocera, Giovanni Quattrone and Domenico Ursino

International Journal of Data Mining, Modelling and Management, 2014, vol. 6, issue 1, 22-48

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.

Keywords: social internetworking; community characterisation; community membership; user similarity detection; community detection; social networks. (search for similar items in EconPapers)
Date: 2014
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