Collective dynamics of random Janus oscillator networks
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Date
2020
Authors
Peron, Thomas
Eroğlu, Deniz
Rodrigues, Francisco A.
Moreno, Yamir
Journal Title
Journal ISSN
Volume Title
Publisher
AMER PHYSICAL SOC
Open Access Color
GOLD
Green Open Access
Yes
OpenAIRE Downloads
0
OpenAIRE Views
9
Publicly Funded
No
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-Renyi, 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.
Description
Keywords
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
Turkish CoHE Thesis Center URL
Fields of Science
01 natural sciences, 0103 physical sciences
Citation
WoS Q
Q1
Scopus Q
Q1

OpenCitations Citation Count
7
Source
Physical Review Research
Volume
2
Issue
1
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End Page
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Scopus : 7
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Mendeley Readers : 12
SCOPUS™ Citations
7
checked on Feb 09, 2026
Web of Science™ Citations
4
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Page Views
7
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Downloads
131
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