Unfolding ego-centered community structures with "a similarity approach"

Maximilien Danisch 1 Jean-Loup Guillaume 1 Bénédicte Le Grand
1 ComplexNetworks
LIP6 - Laboratoire d'Informatique de Paris 6
Abstract : We propose a framework to unfold the ego-centered community structure of a given node in a network. The framework is not based on the optimization of a quality function, but on the study of the irregularity of the decrease of a similarity measure. It is a practical use of the notion of multi-ego-centered community and we validate the pertinence of the approach on a real-world network of wikipedia pages.
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Maximilien Danisch, Jean-Loup Guillaume, Bénédicte Le Grand. Unfolding ego-centered community structures with "a similarity approach". The 4th Workshop on Complex Networks CompleNet 2013, Mar 2013, Berlin, Germany. Springer, 476, pp.145-153, Studies in Computational Intelligence. 〈10.1007/978-3-642-36844-8_14〉. 〈hal-01217390〉



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