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Remote Synchronization Reveals Network Symmetries and Functional Modules

Open access
Nicosia, Vincenzo, Valencia, Miguel, Chavez, Mario, Díaz-Guilera, Albert, Latora, Vito·2013·Physical Review Letters

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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Metadata

Authors
Nicosia, V., Valencia, M., Chavez, M., Díaz-Guilera, A., & Latora, V.
Venue
Physical Review Letters
Published
2013-04-25
Volume
110
Issue
17
Pages
174102-174102
ISSN
  • 0031-9007 (ISSN-L)
  • 1079-7114
OpenAlex
W2081805716
Cited by
274
References
2
FWCI
22.47
Type
journal article
Language
en
Open access
bronze

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CoChat. (2026). Citation check: Remote Synchronization Reveals Network Symmetries and Functional Modules. https://app.cochat.ai/papers/10.1103/physrevlett.110.174102
The paper
Nicosia, V., Valencia, M., Chavez, M., Díaz-Guilera, A., & Latora, V. (2013). Remote Synchronization Reveals Network Symmetries and Functional Modules. Physical Review Letters. https://doi.org/10.1103/physrevlett.110.174102

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.