Collective Dynamics of Random Janus Oscillator Networks

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Date

2020

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Publisher

American Physical Society

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GOLD

Green Open Access

Yes

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0

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9

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No
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Abstract

Janus oscillators have been recently introduced as a remarkably simple phase oscillator model that exhibits nontrivial dynamical patterns-such as chimeras, explosive transitions, and asymmetry-induced synchronization-that were once observed only in specifically tailored models. Here we study ensembles of Janus oscillators coupled on large homogeneous and heterogeneous networks. By virtue of the Ott-Antonsen reduction scheme, we find that the rich dynamics of Janus oscillators persists in the thermodynamic limit of random regular, Erdos-Rényi, and scale-free random networks. We uncover for all these networks the coexistence between partially synchronized states and a multitude of solutions of a collective state we denominate as a breathing standing wave, which displays global oscillations. Furthermore, abrupt transitions of the global and local order parameters are observed for all topologies considered. Interestingly, only for scale-free networks, it is found that states displaying global oscillations vanish in the thermodynamic limit. © 2020 authors. Published by the American Physical Society.

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Keywords

[No Keyword Available], Janus, Computer Networks and Communications, QC1-999, Biomedical Engineering, FOS: Physical sciences, FOS: Medical engineering, Quantum mechanics, Mathematical analysis, Thermodynamic limit, Engineering, Dynamics of Synchronization in Complex Networks, Adaptive Transport Networks, Synchronization (alternating current), FOS: Mathematics, Homogeneous, Biologically Inspired Adaptive Network Design, Topology (electrical circuits), Global and Planetary Change, Physics, Kuramoto model, Asymmetry, Disordered Systems and Neural Networks (cond-mat.dis-nn), Limit (mathematics), Condensed Matter - Disordered Systems and Neural Networks, Nonlinear Sciences - Chaotic Dynamics, Computer science, Nonlinear Sciences - Adaptation and Self-Organizing Systems, Programming language, N/A, Combinatorics, Anticipating Critical Transitions in Ecosystems, Computer Science, Physical Sciences, Environmental Science, Statistical physics, Chaotic Dynamics (nlin.CD), Adaptation and Self-Organizing Systems (nlin.AO), Mathematics

Fields of Science

01 natural sciences, 0103 physical sciences

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Q1

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Q1
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OpenCitations Citation Count
7

Source

Physical Review Research

Volume

2

Issue

1

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Scopus : 6

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