Synchronization and Explosive Synchronization of Two-Layer Second-Order Kuramoto Oscillator Networks

In the study of synchronization on complex networks, the second-order Kuramoto model has attracted extensive attention because the inclusion of inertia and damping enables a more realistic description of coupled systems with inertial and dissipative characteristics, such as power networks. However, existing studies on synchronization in second-order Kuramoto oscillator networks have mainly focused on single-layer networks, and the combined effects of inter-layer coupling, topological heterogeneity, and inertia in multilayer structures remain insufficiently explored. To address this issue, we extend the second-order Kuramoto model to two-layer oscillator networks with different architectures and allow flexible random inter-layer connections, and then systematically examine through numerical simulations the effects of damping/inertia, coupling strengths, topology variation, and layer size on synchronization. We find that when the inertia m is small, a moderate increase in the damping d can maintain a continuous synchronization transition while enhancing the overall synchronization level; in contrast, when m is large and d is small, explosive synchronization can be induced in the two-layer network. In addition, topologies with stronger degree heterogeneity are generally unfavorable for collective synchronization, and collective synchronization is more likely to be dominated by the larger layer. Layer-size mismatch can enhance the synchronization level of the two-layer system, and the global synchronization consistency of the whole system gradually increases as the size mismatch between the two layers becomes larger.

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Publication Details

Journal
International Journal of Modern Physics C
Published
2026-07-17
DOI
https://doi.org/10.1142/s0129183127501324
Primary Topic
Nonlinear Dynamics and Pattern Formation
Type
article
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article

Synchronization and Explosive Synchronization of Two-Layer Second-Order Kuramoto Oscillator Networks

Liyuan Chen, Jie Wu, Ruru Ma, Jiabing Zhu et al.
International Journal of Modern Physics C
Nonlinear Dynamics and Pattern Formation
article

Synchronization and Explosive Synchronization of Two-Layer Second-Order Kuramoto Oscillator Networks

Liyuan Chen, Jie Wu, Ruru Ma, Jiabing Zhu, Yanfang Pang, Jiaming Xu, Sihao Gui
article en

Abstract

In the study of synchronization on complex networks, the second-order Kuramoto model has attracted extensive attention because the inclusion of inertia and damping enables a more realistic description of coupled systems with inertial and dissipative characteristics, such as power networks. However, existing studies on synchronization in second-order Kuramoto oscillator networks have mainly focused on single-layer networks, and the combined effects of inter-layer coupling, topological heterogeneity, and inertia in multilayer structures remain insufficiently explored. To address this issue, we extend the second-order Kuramoto model to two-layer oscillator networks with different architectures and allow flexible random inter-layer connections, and then systematically examine through numerical simulations the effects of damping/inertia, coupling strengths, topology variation, and layer size on synchronization. We find that when the inertia m is small, a moderate increase in the damping d can maintain a continuous synchronization transition while enhancing the overall synchronization level; in contrast, when m is large and d is small, explosive synchronization can be induced in the two-layer network. In addition, topologies with stronger degree heterogeneity are generally unfavorable for collective synchronization, and collective synchronization is more likely to be dominated by the larger layer. Layer-size mismatch can enhance the synchronization level of the two-layer system, and the global synchronization consistency of the whole system gradually increases as the size mismatch between the two layers becomes larger.

International Journal of Modern Physics C
Openalex Percentile: Top 6%
Nonlinear Dynamics and Pattern Formation
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