Effect of spatial-phase drift on the synchronization of swarmalators with higher-order interactions

The synchronization of complex networks is a fundamental phenomenon with significant implications across physics, biology, and neuroscience. While pairwise interactions have been extensively studied, higher-order interactions, which capture dependencies among multiple nodes, remain underexplored despite their critical role in real-world systems. Furthermore, in real-world networks, node variables such as spatial positions and phases can exhibit delays or drifts, introducing additional complexity to synchronization dynamics. This study investigates the impact of spatial-phase drift on synchronization transitions in a swarmalator model with both first-order and second-order interactions. Using the Ott-Antonsen framework for analytical derivations, supported by numerical simulations, we demonstrate that spatial-phase drift can either suppress or enhance synchronization transitions depending on coupling conditions. Increasing spatial-phase drift reduces the bistable region and transition region, leading to smoother and more continuous transitions. This work provides theoretical insights into the interplay between coupling structures and drifts, advancing our understanding of synchronization in networks with higher-order interactions. Swarmalators, phase oscillators that swarm around in space and synchronize in time, have been used to model behaviors of real-world systems like vinegar eels or magnetic domain walls. This study investigates the role of spatial-phase delay on the synchronization of swarmalators with higher-order interactions.

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Publication Details

Journal
Communications Physics
Published
2025-04-22
DOI
https://doi.org/10.1038/s42005-025-02103-3
Citations
8
Primary Topic
Nonlinear Dynamics and Pattern Formation
Type
article
Field-Weighted Citation Impact
11.90

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article

Effect of spatial-phase drift on the synchronization of swarmalators with higher-order interactions

Yong Wu, Qianming Ding, Dong In Yu, Yipeng Hu et al.
8 citations
Communications Physics
Nonlinear Dynamics and Pattern Formation
11.90
article

Effect of spatial-phase drift on the synchronization of swarmalators with higher-order interactions

Yong Wu, Qianming Ding, Dong In Yu, Yipeng Hu, Tianyu Li, Ya Jia
article en
8 citations

Abstract

The synchronization of complex networks is a fundamental phenomenon with significant implications across physics, biology, and neuroscience. While pairwise interactions have been extensively studied, higher-order interactions, which capture dependencies among multiple nodes, remain underexplored despite their critical role in real-world systems. Furthermore, in real-world networks, node variables such as spatial positions and phases can exhibit delays or drifts, introducing additional complexity to synchronization dynamics. This study investigates the impact of spatial-phase drift on synchronization transitions in a swarmalator model with both first-order and second-order interactions. Using the Ott-Antonsen framework for analytical derivations, supported by numerical simulations, we demonstrate that spatial-phase drift can either suppress or enhance synchronization transitions depending on coupling conditions. Increasing spatial-phase drift reduces the bistable region and transition region, leading to smoother and more continuous transitions. This work provides theoretical insights into the interplay between coupling structures and drifts, advancing our understanding of synchronization in networks with higher-order interactions. Swarmalators, phase oscillators that swarm around in space and synchronize in time, have been used to model behaviors of real-world systems like vinegar eels or magnetic domain walls. This study investigates the role of spatial-phase delay on the synchronization of swarmalators with higher-order interactions.

Communications PhysicsVol. 8(1)
Central China Normal University (CN)
National Natural Science Foundation of China, Ministry of Education, India, Central China Normal University
Climate action
Openalex Percentile: Top 2%
Nonlinear Dynamics and Pattern Formation
11.90
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