Analysis of social communities with iceberg and stability-based concept lattices

Nicolas Jay 1, * François Kohler 2 Amedeo Napoli 1, *
* Corresponding author
1 ORPAILLEUR - Knowledge representation, reasonning
INRIA Lorraine, LORIA - Laboratoire Lorrain de Recherche en Informatique et ses Applications
Abstract : In this paper, we presents a research work based on formal concept analysis and interest measures associated with formal concepts. This work focuses on the ability of concept lattices to discover and represent special groups of individuals, called social communities. Concept lattices are very useful for the task of knowledge discovery in databases, but they are hard to analyze when their size become too large. We rely on concept stability and support measures to reduce the size of large concept lattices. We propose an example from real medical use cases and we discuss the meaning and the interest of concept stability for extracting and explaining social communities within a healthcare network.
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Nicolas Jay, François Kohler, Amedeo Napoli. Analysis of social communities with iceberg and stability-based concept lattices. 6th International Conference on Formal Concept Analysis - ICFCA 2008, Feb 2008, Montréal, Canada. pp.258-272. ⟨hal-00608180⟩

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