Cluster synchronization on sparse simplicial complexes with higher-order repulsive coupling
Abstract Higher-order interactions are widely existed in complex systems, which induce diverse phenomena beyond pairwise interactions. Here, we explore the nonlinear dynamics of higher-order Kuramoto model on sparse simplicial complexes. We observe anti-phase cluster synchronization, where individuals within a system spontaneously divide into two opposing groups, when both pairwise and three-body interactions are repulsive. We investigate the microscopic mechanisms behind this phenomenon and reveal that multiple edges shared by multiple 2-simplices facilitate its emergence. Furthermore, we explore the suppressing impact of pairwise-only interactions on this synchronization and explain the trade-off between multiple and pairwise-only edges underlying the system’s structure. Our findings are further validated on the heterogeneous simplicial complex and real dataset. Finally, we discuss the splitting of non-antiphase clusters under the traveling wave states when pairwise interactions become attractive. These results highlight the unique mechanism of repulsive coupling, offering valuable insights into the relationship between higher-order structures and dynamics, and contributing to a deeper understanding of synchronization in real-world systems, such as social networks and the brain.
Authors
- Linyuan Lü (ORCID: https://orcid.org/0000-0002-2156-0432)
- Bin Ji (ORCID: https://orcid.org/0000-0003-3267-1776)
- Chong-Yang Wang (ORCID: https://orcid.org/0000-0003-2762-545X)
Institutions
- University of Science and Technology of China (CN)
- University of Electronic Science and Technology of China (CN)
- Institute of Theoretical Physics (CN)
- Lanzhou University (CN)
- Yangzhou University (CN)
Publication Details
- Journal
- New Journal of Physics
- Published
- 2025-03-28
- DOI
- https://doi.org/10.1088/1367-2630/adc6b1
- Citations
- 2
- Primary Topic
- Molecular spectroscopy and chirality
- Type
- article
- Field-Weighted Citation Impact
- 1.51
Funders
- National Natural Science Foundation of China