Compressive sensing-based topology identification of multilayer networks-Reference-Cited by-同舟云学术

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Compressive sensing-based topology identification of multilayer networks

Published:2019-05 Issue:5 Volume:29 Page:053117
ISSN:1054-1500
Container-title:Chaos: An Interdisciplinary Journal of Nonlinear Science
language:en
Short-container-title:Chaos

Author:

Li Guangjun¹^ORCID,Li Na²,Liu Suhui³,Wu Xiaoqun²^ORCID

Affiliation:

1. College of Sports Engineering and Information Technology, Wuhan Sports University, Hubei 430079, China

2. School of Mathematics and Statistics, Wuhan University, Hubei 430072, China

3. School of Science, Wuhan Institute of Technology, Hubei 430205, China

Funder

National Natural Science Foundation of China

Publisher

AIP Publishing

Subject

Applied Mathematics,General Physics and Astronomy,Mathematical Physics,Statistical and Nonlinear Physics

Link

http://aip.scitation.org/doi/pdf/10.1063/1.5093270

Reference38 articles.

1. Partial Mutual Information for Coupling Analysis of Multivariate Time Series

2. Momentary information transfer as a coupling measure of time series

3. Inner Composition Alignment for Inferring Directed Networks from Short Time Series

4. Estimating Topology of Networks

5. Bifurcation and Oscillatory Dynamics of Delayed Cyclic Gene Networks Including Small RNAs

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1. Stepwise reconstruction of higher-order networks from dynamics;Chaos: An Interdisciplinary Journal of Nonlinear Science;2024-07-01

2. Design of a Robust Synchronization-Based Topology Observer for Complex Delayed Networks with Fixed and Adaptive Coupling Strength;Entropy;2024-06-18

3. Gaussian mixture model based reconstruction of undirected networks;Acta Physica Sinica;2024

4. Reconstructing networks via discrete state dynamical data: A mini-review;Europhysics Letters;2023-10-01

5. Synchronisation and topology identification of stochastic delayed multi-group models with multi-dispersal and Markovian switching;International Journal of Systems Science;2023-07-19

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