Remote synchronization in multi-layered community networks with star-like topology

Haoyu Cao, Zhiyin Yang and Zonghua Liu

Chaos, Solitons & Fractals, 2023, vol. 166, issue C

Abstract: Remote synchronization (RS) is currently a hot topic in the fields of nonlinear science and complex network and has a close relationship with signal propagation in brain networks. So far, most studies of RS are focused on star graphs. However, realistic networks with RS are much more complicated than a purely star graph, such as various cognitive networks in human brain. Thus, we here present a model of multi-layered community network to extend the study of RS from star graphs to star-like community topologies, i.e. each node of star graph becoming a community. We find that RS may appear in this multi-layered network model, provided that the hub community has a stronger coupling while the leaf communities have a weaker coupling. A measure of RS is introduced to investigate the influence of key parameters such as the frequency distributions, network size, and natural frequency difference between the hub and leaf layers. Moreover, these results have been confirmed in the sub-networks from a real brain network. And a brief theoretical analysis is provided to explain the mechanism of RS in multi-layered community networks.

Keywords: Remote synchronization; Complex networks; Brain networks (search for similar items in EconPapers)
Date: 2023
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (4)

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0960077922010724
Full text for ScienceDirect subscribers only

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:eee:chsofr:v:166:y:2023:i:c:s0960077922010724

DOI: 10.1016/j.chaos.2022.112893

Access Statistics for this article

Chaos, Solitons & Fractals is currently edited by Stefano Boccaletti and Stelios Bekiros

More articles in Chaos, Solitons & Fractals from Elsevier
Bibliographic data for series maintained by Thayer, Thomas R. ().