Topologically induced suppression of explosive synchronization

Author:

Miranda Manuel1ORCID,Frasca Mattia23ORCID,Estrada Ernesto1ORCID

Affiliation:

1. Institute of Cross-Disciplinary Physics and Complex Systems, IFISC (UIB-CSIC) 1 , 07122 Palma de Mallorca, Spain

2. Department of Electrical, Electronics and Computer Science Engineering, University of Catania 2 , I-95125 Catania, Italy

3. Istituto di Analisi dei Sistemi ed Informatica “A. Ruberti”, Consiglio Nazionale delle Ricerche (IASI-CNR) 3 , 00185 Roma, Italy

Abstract

Nowadays, explosive synchronization is a well-documented phenomenon consisting in a first-order transition that may coexist with classical synchronization. Typically, explosive synchronization occurs when the network structure is represented by the classical graph Laplacian, and the node frequency and its degree are correlated. Here, we answer the question on whether this phenomenon can be observed in networks when the oscillators are coupled via degree-biased Laplacian operators. We not only observe that this is the case but also that this new representation naturally controls the transition from explosive to standard synchronization in a network. We prove analytically that explosive synchronization emerges when using this theoretical setting in star-like networks. As soon as this star-like network is topologically converted into a network containing cycles, the explosive synchronization gives rise to classical synchronization. Finally, we hypothesize that this mechanism may play a role in switching from normal to explosive states in the brain, where explosive synchronization has been proposed to be related to some pathologies like epilepsy and fibromyalgia.

Funder

Ministerio de Ciencia e Innovación

Publisher

AIP Publishing

Subject

Applied Mathematics,General Physics and Astronomy,Mathematical Physics,Statistical and Nonlinear Physics

Cited by 1 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Synchronization onset for contrarians with higher-order interactions in multilayer systems;Chaos: An Interdisciplinary Journal of Nonlinear Science;2023-09-01

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