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COMMUNITY DETECTION IN NETWORKS

DORSO, C. O ; MEDUS, A. D

International journal of bifurcation and chaos in applied sciences and engineering, 2010-02, Vol.20 (2), p.361-367 [Periódico revisado por pares]

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Título:
COMMUNITY DETECTION IN NETWORKS
Autor: DORSO, C. O ; MEDUS, A. D
É parte de: International journal of bifurcation and chaos in applied sciences and engineering, 2010-02, Vol.20 (2), p.361-367
Notas: ObjectType-Article-2
SourceType-Scholarly Journals-1
ObjectType-Feature-1
content type line 23
Descrição: The problem of community detection is relevant in many disciplines of science. A community is usually defined, in a qualitative way, as a subset of nodes of a network which are more connected among themselves than to the rest of the network. In this article, we introduce a new method for community detection in complex networks. We define new merit factors based on the weak and strong community definitions formulated by Radicchi et al. [2004] and we show that this local definition properly describes the communities observed experimentally in two typical social networks.
Editor: World Scientific Publishing Company
Idioma: Inglês

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