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Chaos An Interdisciplinary Journal of Nonlinear Science· 2026Q1

When higher-order interactions enhance synchronization: The case of the Kuramoto model

Riccardo Muolo, Hiroya Nakao, Marco Coraggio

Short summary

Adding weak higher-order interactions to pairwise couplings in the Kuramoto model maximizes synchronization, with optimal synchronization achieved by a mixed allocation of interaction types under budget constraints.

AI-generated from the title and abstract; the full text is not read.

Key points

  • Higher-order interactions in the Kuramoto model exhibit non-monotonic effects on synchronization.
  • Synchronization is maximized at small, non-zero higher-order coupling strengths when added to pairwise interactions.
  • Stronger higher-order interactions can reduce synchronization and lead to cluster states.
  • A mixed allocation of pairwise and higher-order couplings achieves higher synchronization than either type alone under budget constraints.

AI-generated from the title and abstract; the full text is not read.

Abstract

Synchronization is a fundamental phenomenon in complex systems, observed across a wide range of natural and engineered contexts. The Kuramoto model provides a foundational framework for understanding synchronization among coupled oscillators, traditionally assuming pairwise interactions. However, many real-world systems exhibit group and many-body interactions, which can be effectively modeled through hypergraphs. Here, we show that the effect of such higher-order interactions on synchronization is non-monotonic. Through a numerical study of higher-order Kuramoto models on random hypergraphs and on globally coupled systems, we find that the degree of synchronization reached from incoherent initial conditions is maximized at small but nonzero higher-order coupling strength: Weak higher-order interactions enhance synchronization when added to pairwise ones, whereas strong ones work against it, in line with earlier reports of reduced basins and of cluster states. We further show, through a cost-constrained allocation analysis, that under a constrained budget for interactions, a mixed allocation of pairwise and higher-order couplings consistently achieves higher synchronization than relying on either type alone. These findings clarify the role of higher-order interactions in shaping collective dynamics and point to design principles for optimizing synchronization in complex systems.

The authors' abstract, as published at the source. Chaos An Interdisciplinary Journal of Nonlinear Science, 2026 · DOI ↗

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Field: Computer Networks and Communications

Computer Networks and CommunicationsComputer Science