Work

Synchronization in an evolving network

Year: 2015
Type: article
Abstract: In this work we study the dynamics of Kuramoto oscillators on a stochastically evolving network whose evolution is governed by the phases of the individual oscillators and degree distribution. Synchronization is achieved after a threshold connection density is reached. This cumulative effect of topology and dynamics has many real-world implications, where synchronization in a system emerges as a collective property of its components in a self-organizing manner. The synchronous state remains stable as long as the connection density remains above the threshold value, with additional links providing resilience against network fluctuations.
Language: English
Open Access status: bronze
OpenAlex ID: W2118949119
FWCI: 1.535
Cites: 31
Cited by: 4
Related to: 10