Remote Synchronization Reveals Network Symmetries and Functional Modules

Vincenzo Nicosia, Miguel Valencia, Mario Chavez, Albert Díaz-Guilera, and Vito Latora
Phys. Rev. Lett. 110, 174102 – Published 25 April 2013
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Abstract

We study a Kuramoto model in which the oscillators are associated with the nodes of a complex network and the interactions include a phase frustration, thus preventing full synchronization. The system organizes into a regime of remote synchronization where pairs of nodes with the same network symmetry are fully synchronized, despite their distance on the graph. We provide analytical arguments to explain this result, and we show how the frustration parameter affects the distribution of phases. An application to brain networks suggests that anatomical symmetry plays a role in neural synchronization by determining correlated functional modules across distant locations.

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  • Received 26 November 2012

DOI:https://doi.org/10.1103/PhysRevLett.110.174102

© 2013 American Physical Society

Authors & Affiliations

Vincenzo Nicosia1, Miguel Valencia2, Mario Chavez3, Albert Díaz-Guilera4, and Vito Latora1,5

  • 1School of Mathematical Sciences, Queen Mary University of London, London E1 4NS, United Kingdom
  • 2Neurophysiology Laboratory, CIMA, University of Navarra, 31008 Pamplona, Spain
  • 3CNRS UMR-7225, Hôpital de la Salpêtrière. 47 Boulevard de l’Hôpital, 75013 Paris, France
  • 4Department de Física Fonamental, Facultat de Física, Universitat de Barcelona, E-08028 Spain
  • 5Dipartimento di Fisica ed Astronomia, Università di Catania and INFN, I-95123 Catania, Italy

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Issue

Vol. 110, Iss. 17 — 26 April 2013

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