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Communities in evolving networks: definitions, detection and analysis techniques

Thomas Aynaud 1 Eric Fleury 2, 3, 4 Jean-Loup Guillaume 1 Qinna Wang 2, 3, 1 
1 ComplexNetworks
LIP6 - Laboratoire d'Informatique de Paris 6
2 DNET - Dynamic Networks
Inria Grenoble - Rhône-Alpes, LIP - Laboratoire de l'Informatique du Parallélisme
Abstract : Complex networks can often be divided in dense sub-networks called communities. These communities are crucial in understanding the underlying structure of these networks and may have applications in data mining or visualization for instance. In this chapter, a survey of recent advances in the definition, the detection and the analysis of these communities in the particular case of evolving networks has been carried out.
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Contributor : Qinna Wang Connect in order to contact the contributor
Submitted on : Saturday, October 27, 2012 - 11:13:20 PM
Last modification on : Tuesday, October 25, 2022 - 4:16:42 PM

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Thomas Aynaud, Eric Fleury, Jean-Loup Guillaume, Qinna Wang. Communities in evolving networks: definitions, detection and analysis techniques. Niloy Ganguly; Animesh Mukherjee; Bivas Mitra; Fernando Peruani; Monojit Choudhury. Dynamics On and Of Complex Networks, 2, Springer, pp.159-200, 2013, ⟨10.1007/978-1-4614-6729-8_9⟩. ⟨hal-00746195⟩



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