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Obtaining communities with a fitness growth process

Author

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  • Beiró, Mariano G.
  • Busch, Jorge R.
  • Grynberg, Sebastian P.
  • Alvarez-Hamelin, J. Ignacio

Abstract

The study of community structure became an important topic of research over the last years. But, while successfully applied in several areas, the concept lacks of a general and precise notion. Facts like the hierarchical structure and heterogeneity of complex networks make it difficult to unify the idea of community and its evaluation. The global functional known as modularity is probably the most used technique in this area. Nevertheless, its limits have been deeply studied. Local techniques as the one by Lancichinetti et al. (2009) [1] arose as an answer to the resolution limit and degeneracies that modularity has.

Suggested Citation

  • Beiró, Mariano G. & Busch, Jorge R. & Grynberg, Sebastian P. & Alvarez-Hamelin, J. Ignacio, 2013. "Obtaining communities with a fitness growth process," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 392(9), pages 2278-2293.
    • Handle: RePEc:eee:phsmap:v:392:y:2013:i:9:p:2278-2293
    DOI: 10.1016/j.physa.2013.01.031
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    References listed on IDEAS

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    1. Gergely Palla & Imre Derényi & Illés Farkas & Tamás Vicsek, 2005. "Uncovering the overlapping community structure of complex networks in nature and society," Nature, Nature, vol. 435(7043), pages 814-818, June.
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    3. Chaoming Song & Shlomo Havlin & Hernán A. Makse, 2005. "Self-similarity of complex networks," Nature, Nature, vol. 433(7024), pages 392-395, January.
    4. Roger Guimerà & Luís A. Nunes Amaral, 2005. "Functional cartography of complex metabolic networks," Nature, Nature, vol. 433(7028), pages 895-900, February.
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