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This article is cited in 51 scientific papers (total in 51 papers)
REVIEWS OF TOPICAL PROBLEMS
Adaptive dynamical networks
O. V. Maslennikov, V. I. Nekorkin Institute of Applied Physics, Russian Academy of Sciences, Nizhny Novgorod
Abstract:
Dynamical networks are systems of active elements (nodes) interacting with each other through links. Examples are power grids, neural structures, coupled chemical oscillators, and communications networks, all of which are characterized by a networked 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. The main results of research 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.
Received: August 24, 2016 Revised: October 3, 2016 Accepted: October 12, 2016
Citation:
O. V. Maslennikov, V. I. Nekorkin, “Adaptive dynamical networks”, UFN, 187:7 (2017), 745–756; Phys. Usp., 60:7 (2017), 694–704
Linking options:
https://www.mathnet.ru/eng/ufn5782 https://www.mathnet.ru/eng/ufn/v187/i7/p745
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Abstract page: | 473 | Full-text PDF : | 116 | References: | 33 | First page: | 7 |
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