Reverse engineering of complex dynamical networks in the presence of time-delayed interactions based on noisy time series

DOI10.1063/1.4747708zbMath1319.34062arXiv1101.6074OpenAlexW2963055889WikidataQ87392215 ScholiaQ87392215MaRDI QIDQ2944596

Wen-Xu Wang, Jie Ren, Baowen Li, Ying-Cheng Lai

Publication date: 2 September 2015

Published in: Chaos: An Interdisciplinary Journal of Nonlinear Science (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/1101.6074

Mathematics Subject Classification ID

Small world graphs, complex networks (graph-theoretic aspects) (05C82) Nonlinear oscillations and coupled oscillators for ordinary differential equations (34C15) Time series analysis of dynamical systems (37M10) Dynamical systems involving relations and correspondences in one complex variable (37F05)

Related Items (3)

Recovering network topologies via Taylor expansion and compressive sensing ⋮ Data based identification and prediction of nonlinear and complex dynamical systems ⋮ Detecting network structures from measurable data produced by dynamics with hidden variables

Cites Work

• An equation for continuous chaos
• Emergence of Scaling in Random Networks
• Automated reverse engineering of nonlinear dynamical systems
• Community structure in social and biological networks
• Consensus and Cooperation in Networked Multi-Agent Systems
• Collective dynamics of ‘small-world’ networks
• Handbook of stochastic methods for physics, chemistry and natural sciences.

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