Articles producció científica> Enginyeria Informàtica i Matemàtiques

Analysis of the structure of complex networks at different resolution levels

  • Identification data

    Identifier: imarina:5120451
    Handle: http://hdl.handle.net/20.500.11797/imarina5120451
  • Authors:

    Arenas A
    Fernández A
    Gómez S
  • Others:

    Author, as appears in the article.: Arenas A; Fernández A; Gómez S
    Department: Enginyeria Informàtica i Matemàtiques
    e-ISSN: 1367-2630
    URV's Author/s: Arenas Moreno, Alejandro / Fernández Sabater, Alberto / Gómez Jiménez, Sergio
    Abstract: 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.
    Thematic Areas: 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
    licence for use: https://creativecommons.org/licenses/by/3.0/es/
    Author's mail: alexandre.arenas@urv.cat sergio.gomez@urv.cat alberto.fernandez@urv.cat
    Author identifier: 0000-0003-0937-0334 0000-0003-1820-0062 0000-0002-1241-1646
    Record's date: 2023-02-18
    Journal volume: 10
    Papper version: info:eu-repo/semantics/publishedVersion
    Link to the original source: https://iopscience.iop.org/article/10.1088/1367-2630/10/5/053039
    Licence document URL: http://repositori.urv.cat/ca/proteccio-de-dades/
    Papper original source: New Journal Of Physics. 10
    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
    Article's DOI: 10.1088/1367-2630/10/5/053039
    Entity: Universitat Rovira i Virgili
    Journal publication year: 2008
    Publication Type: Journal Publications
  • Keywords:

    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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