Articles producció científica> Enginyeria Informàtica i Matemàtiques

Analysis of the structure of complex networks at different resolution levels

  • Datos identificativos

    Identificador: imarina:5120451
    Handle: http://hdl.handle.net/20.500.11797/imarina5120451
  • Autores:

    Arenas A
    Fernández A
    Gómez S
  • Otros:

    Autor según el artículo: Arenas A; Fernández A; Gómez S
    Departamento: Enginyeria Informàtica i Matemàtiques
    e-ISSN: 1367-2630
    Autor/es de la URV: Arenas Moreno, Alejandro / Fernández Sabater, Alberto / Gómez Jiménez, Sergio
    Resumen: Modular structure is ubiquitous in real-world complex networks, and its detection is important because it gives insights into the structure- functionality relationship. The standard approach is based on the optimization of a quality function, modularity, which is a relative quality measure for the partition of a network into modules. Recently, some authors (Fortunato and Barthélemy 2007 Proc. Natl Acad. Sci. USA 104 36 and Kumpula et al 2007 Eur. Phys. J. B 56 41) have pointed out that the optimization of modularity has a fundamental drawback: the existence of a resolution limit beyond which no modular structure can be detected even though these modules might have their own entity. The reason is that several topological descriptions of the network coexist at different scales, which is, in general, a fingerprint of complex systems. Here, we propose a method that allows for multiple resolution screening of the modular structure. The method has been validated using synthetic networks, discovering the predefined structures at all scales. Its application to two real social networks allows us to find the exact splits reported in the literature, as well as the substructure beyond the actual split. © IOP Publishing Ltd and Deutsche Physikalische Gesellschaft.
    Áreas temáticas: Química Psicología Physics, multidisciplinary Physics and astronomy (miscellaneous) Physics and astronomy (all) Medicina ii Materiais Matemática / probabilidade e estatística Interdisciplinar General physics and astronomy Ensino Engenharias iv Engenharias iii Engenharias i Ciências biológicas i Ciência da computação Biotecnología Astronomia / física
    Acceso a la licencia de uso: https://creativecommons.org/licenses/by/3.0/es/
    Direcció de correo del autor: alexandre.arenas@urv.cat sergio.gomez@urv.cat alberto.fernandez@urv.cat
    Identificador del autor: 0000-0003-0937-0334 0000-0003-1820-0062 0000-0002-1241-1646
    Fecha de alta del registro: 2023-02-18
    Volumen de revista: 10
    Versión del articulo depositado: info:eu-repo/semantics/publishedVersion
    Enlace a la fuente original: https://iopscience.iop.org/article/10.1088/1367-2630/10/5/053039
    URL Documento de licencia: http://repositori.urv.cat/ca/proteccio-de-dades/
    Referencia al articulo segun fuente origial: New Journal Of Physics. 10
    Referencia de l'ítem segons les normes APA: Arenas A; Fernández A; Gómez S (2008). Analysis of the structure of complex networks at different resolution levels. New Journal Of Physics, 10(), -. DOI: 10.1088/1367-2630/10/5/053039
    DOI del artículo: 10.1088/1367-2630/10/5/053039
    Entidad: Universitat Rovira i Virgili
    Año de publicación de la revista: 2008
    Tipo de publicación: Journal Publications
  • Palabras clave:

    Physics and Astronomy (Miscellaneous),Physics, Multidisciplinary
    Química
    Psicología
    Physics, multidisciplinary
    Physics and astronomy (miscellaneous)
    Physics and astronomy (all)
    Medicina ii
    Materiais
    Matemática / probabilidade e estatística
    Interdisciplinar
    General physics and astronomy
    Ensino
    Engenharias iv
    Engenharias iii
    Engenharias i
    Ciências biológicas i
    Ciência da computação
    Biotecnología
    Astronomia / física
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