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Article: Network synchronizability enhancement via adding antagonistic interactions

TitleNetwork synchronizability enhancement via adding antagonistic interactions
Authors
KeywordsAntagonistic interaction
Complex network
Laplacian matrix
Synchronizability
Issue Date1-Dec-2024
PublisherSpringer
Citation
Autonomous Intelligent Systems, 2024, v. 4, n. 1 How to Cite?
AbstractWe discover a “less-is-more” effect that adding local antagonistic interactions (negative edge weights) can enhance the overall synchronizability of a dynamical network system. To explain this seemingly counterintuitive phenomenon, a condition is established to identify those edges the weight reduction of which improves the synchronizability index of the underlying network. We further reveal that this condition can be interpreted from the perspective of resistance distance and network community structure. The obtained result is also verified via numerical experiments on a 14-node network and a 118-node network. Our finding brings new thoughts and inspirations to the future directions of optimal network design problems.
Persistent Identifierhttp://hdl.handle.net/10722/366326
ISSN
2023 SCImago Journal Rankings: 0.739

 

DC FieldValueLanguage
dc.contributor.authorSong, Yue-
dc.contributor.authorLiu, Xiaoqin-
dc.contributor.authorWang, Dingmei-
dc.contributor.authorGao, Pengfei-
dc.contributor.authorXue, Mengqi-
dc.date.accessioned2025-11-25T04:18:46Z-
dc.date.available2025-11-25T04:18:46Z-
dc.date.issued2024-12-01-
dc.identifier.citationAutonomous Intelligent Systems, 2024, v. 4, n. 1-
dc.identifier.issn2730-616X-
dc.identifier.urihttp://hdl.handle.net/10722/366326-
dc.description.abstractWe discover a “less-is-more” effect that adding local antagonistic interactions (negative edge weights) can enhance the overall synchronizability of a dynamical network system. To explain this seemingly counterintuitive phenomenon, a condition is established to identify those edges the weight reduction of which improves the synchronizability index of the underlying network. We further reveal that this condition can be interpreted from the perspective of resistance distance and network community structure. The obtained result is also verified via numerical experiments on a 14-node network and a 118-node network. Our finding brings new thoughts and inspirations to the future directions of optimal network design problems.-
dc.languageeng-
dc.publisherSpringer-
dc.relation.ispartofAutonomous Intelligent Systems-
dc.rightsThis work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.-
dc.subjectAntagonistic interaction-
dc.subjectComplex network-
dc.subjectLaplacian matrix-
dc.subjectSynchronizability-
dc.titleNetwork synchronizability enhancement via adding antagonistic interactions-
dc.typeArticle-
dc.identifier.doi10.1007/s43684-024-00086-6-
dc.identifier.scopuseid_2-s2.0-85213726210-
dc.identifier.volume4-
dc.identifier.issue1-
dc.identifier.eissn2730-616X-
dc.identifier.issnl2730-616X-

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