Evolutionary optimization of network reconstruction from derivative-variable correlations
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- dc.contributor.author Grau Leguia, Marcca
- dc.contributor.author Andrzejak, Ralph Gregorca
- dc.contributor.author Levnajić, Zoranca
- dc.date.accessioned 2017-07-19T15:59:07Z
- dc.date.available 2017-07-19T15:59:07Z
- dc.date.issued 2017
- dc.description.abstract Topologies of real-world complex networks are rarely accessible, but can often be reconstructed from experimentally obtained time series via suitable network reconstruction methods. Extending our earlier work on methods based on statistics of derivative-variable correlations, we here present a new method built on integrating an evolutionary optimization algorithm into the derivative-variable correlation method. Results obtained from our modi cation of the method in general outperform the original results, demonstrating the suitability of evolutionary optimization logic in network reconstruction problems. We show the method's usefulness in realistic scenarios where the reconstruction precision can be limited by the nature of the time series. We also discuss important limitations coming from various dynamical regimes that time series can belong to.es
- dc.description.sponsorship This work was founded by the EU via H2020 Marie SklodowskaCurie project COSMOS, grant no. 642563. R G A acknowledges funding from the Volkswagen foundation, the Spanish Ministry of Economy and Competitiveness (Grant FIS2014-54177-R) and the CERCA Programme of the Generalitat de Catalunya. Z L acknowledges funding from the Slovenian Research Agency via program Complex Networks P1-0383 and project J5- 8236.en
- dc.format.mimetype application/pdfca
- dc.identifier.citation Leguia MG, Andrzejak RG, Levnajić Z. Evolutionary optimization of network reconstruction from derivative-variable correlations. J Phys A Math Theor. 2017 July 18;50(33):334001. DOI: 10.1088/1751-8121
- dc.identifier.doi http://dx.doi.org/10.1088/1751-8121/aa7925
- dc.identifier.issn 1751-8113
- dc.identifier.uri http://hdl.handle.net/10230/32579
- dc.language.iso eng
- dc.publisher Institute of Physics (IOP)ca
- dc.relation.ispartof Journal of Physics A: Mathematical and Theoretical. 2017 July 18;50(33):334001.
- dc.relation.projectID info:eu-repo/grantAgreement/EC/H2020/642563
- dc.relation.projectID info:eu-repo/grantAgreement/ES/1PE/FIS2014-54177-R
- dc.rights © 2017 IOP Publishing Ltd
- dc.rights.accessRights info:eu-repo/semantics/openAccess
- dc.subject.keyword Network inferenceen
- dc.subject.keyword Simulated annealingen
- dc.subject.keyword Dynamical systemsen
- dc.title Evolutionary optimization of network reconstruction from derivative-variable correlationsca
- dc.type info:eu-repo/semantics/article
- dc.type.version info:eu-repo/semantics/submittedVersion