Recurrent chaotic clustering and slow chaos in adaptive networks
Matheus Rolim Sales,
Serhiy Yanchuk,
Jürgen Kurths
Abstract:Adaptive dynamical networks are network systems in which the structure co-evolves and interacts with the dynamical state of the nodes. We study an adaptive dynamical network in which the structure changes on a slower time scale relative to the fast dynamics of the nodes. We identify a phenomenon we refer to as recurrent adaptive chaotic clustering (RACC), in which chaos is observed on a slow time scale, while the fast time scale exhibits regular dynamics. Such slow chaos is further characterized by long (relat… Show more
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