Emergence of chaotic cluster synchronization in heterogeneous networks

© 2023 Author(s). Published under an exclusive license by AIP Publishing..

Many real-world complex systems rely on cluster synchronization to function properly. A cluster of nodes exhibits synchronous behavior, while others behave erratically. Predicting the emergence of these clusters and understanding the mechanism behind their structure and variation in response to a parameter change is a daunting task in networks that lack symmetry. We unravel the mechanism for the emergence of cluster synchronization in heterogeneous random networks. We develop heterogeneous mean-field approximation together with a self-consistent theory to determine the onset and stability of the cluster. Our analysis shows that cluster synchronization occurs in a wide variety of heterogeneous networks, node dynamics, and coupling functions. The results could lead to a new understanding of the dynamical behavior of networks ranging from neural to social.

Medienart:

E-Artikel

Erscheinungsjahr:

2023

Erschienen:

2023

Enthalten in:

Zur Gesamtaufnahme - volume:33

Enthalten in:

Chaos (Woodbury, N.Y.) - 33(2023), 9 vom: 01. Sept.

Sprache:

Englisch

Beteiligte Personen:

Corder, Rodrigo M [VerfasserIn]
Bian, Zheng [VerfasserIn]
Pereira, Tiago [VerfasserIn]
Montalbán, Antonio [VerfasserIn]

Links:

Volltext

Themen:

Journal Article

Anmerkungen:

Date Revised 13.09.2023

published: Print

Citation Status PubMed-not-MEDLINE

doi:

10.1063/5.0169628

funding:

Förderinstitution / Projekttitel:

PPN (Katalog-ID):

NLM362007810