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Criterions for locally dense subgraphs

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  • Tibély, Gergely

Abstract

Community detection is one of the most investigated problems in the field of complex networks. Although several methods were proposed, there is still no precise definition of communities. As a step toward a definition, I highlight two necessary properties of communities, separation and internal cohesion, the latter being a new concept. I propose a local method of community detection based on two-dimensional local optimization, which I tested on common benchmarks and on the word association database.

Suggested Citation

  • Tibély, Gergely, 2012. "Criterions for locally dense subgraphs," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 391(4), pages 1831-1847.
    • Handle: RePEc:eee:phsmap:v:391:y:2012:i:4:p:1831-1847
    DOI: 10.1016/j.physa.2011.09.040
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    References listed on IDEAS

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    1. Dorogovtsev, S.N. & Mendes, J.F.F., 2003. "Evolution of Networks: From Biological Nets to the Internet and WWW," OUP Catalogue, Oxford University Press, number 9780198515906.
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    Keywords

    Complex networks; Community detection;

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