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The transition to synchronization of networked systems.
Bayani, Atiyeh; Nazarimehr, Fahimeh; Jafari, Sajad; Kovalenko, Kirill; Contreras-Aso, Gonzalo; Alfaro-Bittner, Karin; Sánchez-García, Rubén J; Boccaletti, Stefano.
Afiliación
  • Bayani A; Department of Biomedical Engineering, Amirkabir University of Technology (Tehran Polytechnic), Tehran, Iran.
  • Nazarimehr F; Department of Biomedical Engineering, Amirkabir University of Technology (Tehran Polytechnic), Tehran, Iran.
  • Jafari S; Department of Biomedical Engineering, Amirkabir University of Technology (Tehran Polytechnic), Tehran, Iran. sajadjafari83@gmail.com.
  • Kovalenko K; Health Technology Research Institute, Amirkabir University of Technology (Tehran Polytechnic), Tehran, Iran. sajadjafari83@gmail.com.
  • Contreras-Aso G; Scuola Superiore Meridionale, School for Advanced Studies, Naples, Italy.
  • Alfaro-Bittner K; Universidad Rey Juan Carlos, Calle Tulipán s/n, Madrid, Spain.
  • Sánchez-García RJ; Universidad Rey Juan Carlos, Calle Tulipán s/n, Madrid, Spain. karin.alfaro@urjc.es.
  • Boccaletti S; Mathematical Sciences, University of Southampton, Southampton, UK. rsanchez-garcia@turing.ac.uk.
Nat Commun ; 15(1): 4955, 2024 Jun 10.
Article en En | MEDLINE | ID: mdl-38858358
ABSTRACT
We study the synchronization properties of a generic networked dynamical system, and show that, under a suitable approximation, the transition to synchronization can be predicted with the only help of eigenvalues and eigenvectors of the graph Laplacian matrix. The transition comes out to be made of a well defined sequence of events, each of which corresponds to a specific clustered state. The network's nodes involved in each of the clusters can be identified, and the value of the coupling strength at which the events are taking place can be approximately ascertained. Finally, we present large-scale simulations which show the accuracy of the approximation made, and of our predictions in describing the synchronization transition of both synthetic and real-world large size networks, and we even report that the observed sequence of clusters is preserved in heterogeneous networks made of slightly non-identical systems.

Texto completo: 1 Banco de datos: MEDLINE Idioma: En Revista: Nat Commun Asunto de la revista: BIOLOGIA / CIENCIA Año: 2024 Tipo del documento: Article País de afiliación: Irán

Texto completo: 1 Banco de datos: MEDLINE Idioma: En Revista: Nat Commun Asunto de la revista: BIOLOGIA / CIENCIA Año: 2024 Tipo del documento: Article País de afiliación: Irán