Targeting the dynamics of complex networks

We report on a generic procedure to steer (target) a network's dynamics towards a given, desired evolution. The problem is here tackled through a Master Stability Function approach, assessing the stability of the aimed dynamics, and through a selection of nodes to be targeted. We show that the...

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Detalles Bibliográficos
Autores principales: Gutiérrez, Ricardo, Sendiña-Nadal, Irene, Zanin, Massimiliano, Papo, David, Boccaletti, Stefano
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group 2012
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3343324/
https://www.ncbi.nlm.nih.gov/pubmed/22563525
http://dx.doi.org/10.1038/srep00396
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author Gutiérrez, Ricardo
Sendiña-Nadal, Irene
Zanin, Massimiliano
Papo, David
Boccaletti, Stefano
author_facet Gutiérrez, Ricardo
Sendiña-Nadal, Irene
Zanin, Massimiliano
Papo, David
Boccaletti, Stefano
author_sort Gutiérrez, Ricardo
collection PubMed
description We report on a generic procedure to steer (target) a network's dynamics towards a given, desired evolution. The problem is here tackled through a Master Stability Function approach, assessing the stability of the aimed dynamics, and through a selection of nodes to be targeted. We show that the degree of a node is a crucial element in this selection process, and that the targeting mechanism is most effective in heterogeneous scale-free architectures. This makes the proposed approach applicable to the large majority of natural and man-made networked systems.
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spelling pubmed-33433242012-05-04 Targeting the dynamics of complex networks Gutiérrez, Ricardo Sendiña-Nadal, Irene Zanin, Massimiliano Papo, David Boccaletti, Stefano Sci Rep Article We report on a generic procedure to steer (target) a network's dynamics towards a given, desired evolution. The problem is here tackled through a Master Stability Function approach, assessing the stability of the aimed dynamics, and through a selection of nodes to be targeted. We show that the degree of a node is a crucial element in this selection process, and that the targeting mechanism is most effective in heterogeneous scale-free architectures. This makes the proposed approach applicable to the large majority of natural and man-made networked systems. Nature Publishing Group 2012-05-04 /pmc/articles/PMC3343324/ /pubmed/22563525 http://dx.doi.org/10.1038/srep00396 Text en Copyright © 2012, Macmillan Publishers Limited. All rights reserved http://creativecommons.org/licenses/by-nc-sa/3.0/ This work is licensed under a Creative Commons Attribution-NonCommercial-ShareALike 3.0 Unported License. To view a copy of this license, visit http://creativecommons.org/licenses/by-nc-sa/3.0/
spellingShingle Article
Gutiérrez, Ricardo
Sendiña-Nadal, Irene
Zanin, Massimiliano
Papo, David
Boccaletti, Stefano
Targeting the dynamics of complex networks
title Targeting the dynamics of complex networks
title_full Targeting the dynamics of complex networks
title_fullStr Targeting the dynamics of complex networks
title_full_unstemmed Targeting the dynamics of complex networks
title_short Targeting the dynamics of complex networks
title_sort targeting the dynamics of complex networks
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3343324/
https://www.ncbi.nlm.nih.gov/pubmed/22563525
http://dx.doi.org/10.1038/srep00396
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