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Robustness to noise in synchronization of complex networks

In this report, we investigate dynamical robustness of a complex network to noise injected through one of its nodes. We focus on synchronization of coupled nonlinear systems and, as a special instance, we address the classical consensus protocol for linear integrators. We establish an exact closed-f...

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Autores principales: Buscarino, Arturo, Gambuzza, Lucia Valentina, Porfiri, Maurizio, Fortuna, Luigi, Frasca, Mattia
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group 2013
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3686165/
https://www.ncbi.nlm.nih.gov/pubmed/23778265
http://dx.doi.org/10.1038/srep02026
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author Buscarino, Arturo
Gambuzza, Lucia Valentina
Porfiri, Maurizio
Fortuna, Luigi
Frasca, Mattia
author_facet Buscarino, Arturo
Gambuzza, Lucia Valentina
Porfiri, Maurizio
Fortuna, Luigi
Frasca, Mattia
author_sort Buscarino, Arturo
collection PubMed
description In this report, we investigate dynamical robustness of a complex network to noise injected through one of its nodes. We focus on synchronization of coupled nonlinear systems and, as a special instance, we address the classical consensus protocol for linear integrators. We establish an exact closed-form expression of the synchronization error for the consensus protocol and an approximate result for chaotic units. While structural robustness is known to be significantly affected by attacks targeted to network hubs, our results posit that dynamical robustness is controlled by both the topology of the network and the dynamics of the units. We provide examples where hubs perform better or worse than isolated nodes.
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spelling pubmed-36861652013-06-24 Robustness to noise in synchronization of complex networks Buscarino, Arturo Gambuzza, Lucia Valentina Porfiri, Maurizio Fortuna, Luigi Frasca, Mattia Sci Rep Article In this report, we investigate dynamical robustness of a complex network to noise injected through one of its nodes. We focus on synchronization of coupled nonlinear systems and, as a special instance, we address the classical consensus protocol for linear integrators. We establish an exact closed-form expression of the synchronization error for the consensus protocol and an approximate result for chaotic units. While structural robustness is known to be significantly affected by attacks targeted to network hubs, our results posit that dynamical robustness is controlled by both the topology of the network and the dynamics of the units. We provide examples where hubs perform better or worse than isolated nodes. Nature Publishing Group 2013-06-19 /pmc/articles/PMC3686165/ /pubmed/23778265 http://dx.doi.org/10.1038/srep02026 Text en Copyright © 2013, Macmillan Publishers Limited. All rights reserved http://creativecommons.org/licenses/by-nc-nd/3.0/ This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivs 3.0 Unported License. To view a copy of this license, visit http://creativecommons.org/licenses/by-nc-nd/3.0/
spellingShingle Article
Buscarino, Arturo
Gambuzza, Lucia Valentina
Porfiri, Maurizio
Fortuna, Luigi
Frasca, Mattia
Robustness to noise in synchronization of complex networks
title Robustness to noise in synchronization of complex networks
title_full Robustness to noise in synchronization of complex networks
title_fullStr Robustness to noise in synchronization of complex networks
title_full_unstemmed Robustness to noise in synchronization of complex networks
title_short Robustness to noise in synchronization of complex networks
title_sort robustness to noise in synchronization of complex networks
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3686165/
https://www.ncbi.nlm.nih.gov/pubmed/23778265
http://dx.doi.org/10.1038/srep02026
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