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Focus issue on recent advances in adaptive dynamical networks
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Date
2025-10-01
Authors
Yanchuk, Serhiy
Martens, Erik Andreas
Kuehn, Christian
Kurths, Jürgen
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AIP Publishing
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Abstract
Adaptive dynamical networks (ADNs) describe systems in which the states of the network nodes and the network structure itself co-evolve over time. This interplay of two coupled dynamical processes underlies a wide range of natural and technological phenomena, such as neural plasticity, learning, and opinion formation. The inherently co-evolutionary nature of ADNs poses significant challenges to mathematical theory and modeling, driving strong interest and rapid advances in recent years. This Focus Issue presents 25 research articles highlighting recent developments in the field, including new analytical and computational techniques, the discovery of novel dynamical phenomena in ADNs, and diverse applications of ADNs in neuroscience, Earth science, biology, social sciences, machine learning and control.
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Keywords
Adaptive dynamical networks
Citation
Yanchuk, S., Andreas Martens, E., Kuehn, C. and Kurths, J. (2025) 'Focus issue on recent advances in adaptive dynamical networks', Chaos: An Interdisciplinary Journal of Nonlinear Science, 35(10), 100401 (4pp). https://doi.org/10.1063/5.0300039
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© 2025, the Authors. Published under an exclusive license by AIP Publishing.