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In this paper we propose a new approach based on formal concept analysis (FCA) for community detection in social networks. We propose GroupNode modularity function which improves a partial detection method proposed by Falzon by taking into account the whole of actors in the social network. We name our approach GNOM-FCA for GroupNOde Modularity combined with Formal Concept Analysis approach. In addition, we adapt an information re- trieval function, namely the F-measure, to the case of multiclass for evaluating and comparing the quality of the detected communities. Our approach is validated through experiments as well on real known social networks.

GNOM-FCA : Une extension de la méthode de Falzon de détection de communautés