Adaptive dynamical networks

O.V. Maslennikov, V.I. Nekorkin
Federal Research Center A.V. Gaponov-Grekhov Institute of Applied Physics of the Russian Academy of Sciences, ul. Ulyanova 46, Nizhny Novgorod, 603000, Russian Federation

Dynamical networks are systems of active elements (nodes) interacting with each other via links or couplings. Examples are power grids, neural structures, coupled chemical oscillators, communications networks, etc. , all of which are characterized by the network structure and intrinsic dynamics of their interacting components. If the coupling structure of a dynamical network can change over time due to nodal dynamics then such a system is called an adaptive dynamical network. The term "adaptive" implies that the coupling topology can be rewired; the term "dynamical" implies the presence of internal node and link dynamics. Main results on adaptive dynamical networks are reviewed. Key notions and definitions of the theory of complex networks are given and major collective effects that emerge in adaptive dynamical networks are described.

Keywords: dynamical networks, adaptive links, synchronization, attractor, coupled oscillators
PACS: 05.45.−a, 05.45.Xt, 87.10.−e (all)
DOI: 10.3367/UFNe.2016.10.037902
URL: https://ufn.ru/en/articles/2017/7/c/
Web of Science

000412937700003
Scopus

2-s2.0-85023640544
ADS NASA

2017PhyU...60..694M
Citation: Maslennikov O V, Nekorkin V I "Adaptive dynamical networks" Phys. Usp. 60 694–704 (2017)

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Received: 24th, August 2016, revised: 3rd, October 2016, accepted: 12th, October 2016

Оригинал: Масленников О В, Некоркин В И «Адаптивные динамические сети» УФН 187 745–756 (2017); DOI: 10.3367/UFNr.2016.10.037902

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