Paper Info
Title
Synchronization of chaotic systems with activity-driven time-varying interactions.
Abstract
Interactions in many natural and man-made complex systems are not fixed but evolve in time, a crucial factor in shaping the collective behaviour of the structure. Accounting for this time dependence is approached with models based on connectivity-driven topologies, such as blinking networks and mobile agents, or activity-driven ones. While synchronization in connectivity-driven networks has been widely investigated, the phenomenon in activity-driven structures has not yet been fully explored and is here studied. We show that the onset of synchronization can be predicted when the dynamics of the link evolution is fast compared to that of the units of the network. Our results are then particularized for the case of chaotic oscillators described by the Rossler equations, where we observe that the region of synchronization is first widened and then vanishes when the switching rate decreases.
Year
DOI
Venue
2018
10.1093/comnet/cnx027
JOURNAL OF COMPLEX NETWORKS
Keywords
Field
DocType
synchronization,time-varying networks,non-linear dynamics
Synchronization,Control theory,Chaotic systems,Artificial intelligence,Mathematics,Machine learning,Synchronization of chaos
Journal
Volume
Issue
ISSN
6
2
2051-1310
Citations 
PageRank 
References 
0
0.34
8
Authors
5
Name
Order
Citations
PageRank
Arturo Buscarino110126.01
Luigi Fortuna2761128.37
Mattia Frasca331360.35
Lucia Valentina Gambuzza4546.94
Giuseppe Nunnari59017.17