Individual nodeʼs contribution to the mesoscale of complex networks

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  • dc.contributor.author Klimm, Florianca
  • dc.contributor.author Borge-Holthoefer, Javierca
  • dc.contributor.author Wessel, Nielsca
  • dc.contributor.author Kurths, Jürgenca
  • dc.contributor.author Zamora-López, Gorkaca
  • dc.date.accessioned 2016-02-19T08:05:02Z
  • dc.date.available 2016-02-19T08:05:02Z
  • dc.date.issued 2014
  • dc.description.abstract The analysis of complex networks is devoted to the statistical characterization of/nthe topology of graphs at different scales of organization in order to understand/ntheir functionality. While the modular structure of networks has become an/nessential element to better apprehend their complexity, the efforts to characterize/nthe mesoscale of networks have focused on the identification of the modules/nrather than describing the mesoscale in an informative manner. Here we propose/na framework to characterize the position every node takes within the modular/nconfiguration of complex networks and to evaluate their function accordingly./nFor illustration, we apply this framework to a set of synthetic networks,/nempirical neural networks, and to the transcriptional regulatory network of the/nMycobacterium tuberculosis.Wefind that the architecture of both neuronal and/ntranscriptional networks are optimized for the processing of multisensory information with the coexistence of well-de/nfined modules of specialized components and the presence of hubs conveying information from and to the/ndistinct functional domainsca
  • dc.description.sponsorship We are thankful to Prof Alex Arenas, Dr Sergio Gómez, Veronika Stolbova and Dominik Traxl/nfor their helpful comments. We also thank Joaquín Sanz Remón for kindly providing the data of/nthe Tuberculosis RT network and for his valuable comments. This work has been supported by/n(JK) the German Federal Ministry of Education and Research (Bernstein Center II, grant no./n01GQ1001A), (FK) the Engineering and Physical Sciences Research Council, and (GZL) the/nEuropean Union Seventh Framework Programme FP7/2007-2013 under grant agreement/nnumber PIEF- GA-2012-331800.
  • dc.format.mimetype application/pdfca
  • dc.identifier.citation Klimm F, Borge-Holthoefer J, Wessel N, Kurths J, Zamora-Lopez G. Individual nodeʼs contribution to the mesoscale of complex networks. New Journal of Physics. 2014;16:125006. DOI: 10.1088/1367-2630/16/12/125006.
  • dc.identifier.doi http://dx.doi.org/10.1088/1367-2630/16/12/125006
  • dc.identifier.issn 1367-2630
  • dc.identifier.uri http://hdl.handle.net/10230/25903
  • dc.language.iso engca
  • dc.publisher IOP Publishingca
  • dc.relation.ispartof New Journal of Physics. 2014;16:125006
  • dc.relation.projectID info:eu-repo/grantAgreement/EC/FP7/331800
  • dc.rights Content from this work may be used under the terms of the/nCreative Commons Attribution 3.0 licence. Any further distribution of this work must maintain attribution to the author(s) and the title of the work, journal citation and DOIca
  • dc.rights.accessRights info:eu-repo/semantics/openAccessca
  • dc.rights.uri http://creativecommons.org/licenses/by/3.0/ca
  • dc.subject.keyword Network metrics
  • dc.subject.keyword Community structure
  • dc.subject.keyword Neuronal networks
  • dc.subject.keyword Genetic regulatory networks
  • dc.title Individual nodeʼs contribution to the mesoscale of complex networksca
  • dc.type info:eu-repo/semantics/articleca
  • dc.type.version info:eu-repo/semantics/publishedVersionca