Unified treatment of synchronization patterns in generalized networks with higher-order, multilayer, and temporal interactions

TL;DR

This paper introduces a unified framework for analyzing the stability of synchronization patterns in complex networks with higher-order, multilayer, and temporal interactions, facilitating understanding of emergent phenomena.

Contribution

It develops a general method using simultaneous block diagonalization to analyze cluster synchronization across various complex network types.

Findings

Unified framework for generalized networks

Discovery of chimera states in higher-order interactions

Simplified stability analysis of synchronization patterns

Abstract

When describing complex interconnected systems, one often has to go beyond the standard network description to account for generalized interactions. Here, we establish a unified framework to simplify the stability analysis of cluster synchronization patterns for a wide range of generalized networks, including hypergraphs, multilayer networks, and temporal networks. The framework is based on finding a simultaneous block diagonalization of the matrices encoding the synchronization pattern and the network topology. As an application, we use simultaneous block diagonalization to unveil an intriguing type of chimera states that appear only in the presence of higher-order interactions. The unified framework established here can be extended to other dynamical processes and can facilitate the discovery of emergent phenomena in complex systems with generalized interactions.