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Article Dans Une Revue Communications Physics Année : 2024

Patterns of synchronized clusters in adaptive networks

Matteo Lodi
Shirin Panahi
  • Fonction : Auteur
Francesco Sorrentino

Résumé

Abstract Adaptive networks with time-varying connectivity, often called plasticity, provide a fundamental paradigm to model complex dynamical systems. In these systems, different groups of elements frequently exhibit different yet synchronized dynamics within each group. Here we propose a framework to study patterns of synchronous solutions in a large class of plastic networks and derive a general approach to analyze the stability of these solutions. This approach decouples the role of the network topology from that of the dynamic, thus leading to a dimensionality reduction of the stability problem and allowing us to investigate how adaptation affects the emergence of multi-stable patterns of synchronized activity. To illustrate its potentialities, we apply our method to three networks of oscillators, with distinct topology, dynamics, and adaptation rules. Our working framework encompasses a large class of heterogeneous multi-layer dynamical networks, connected (even with delays) via different plastic links, and can have a broad impact on the analysis of complex plastic networks.

Dates et versions

cea-04632788 , version 1 (02-07-2024)

Identifiants

Citer

Matteo Lodi, Shirin Panahi, Francesco Sorrentino, Alessandro Torcini, Marco Storace. Patterns of synchronized clusters in adaptive networks. Communications Physics, 2024, 7 (1), pp.198. ⟨10.1038/s42005-024-01688-5⟩. ⟨cea-04632788⟩
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