Paper
20 October 2023 Pinning control of complex networks based on the entropy of betweenness centrality and node strength
Haiyi Sun, Liang Cai, Chenxinxiao Lv, Yanting Jia
Author Affiliations +
Proceedings Volume 12814, Third International Conference on Green Communication, Network, and Internet of Things (CNIoT 2023); 128141A (2023) https://doi.org/10.1117/12.3010418
Event: Third International Conference on Green Communication, Network, and Internet of Things (CNIoT 2023), 2023, Chongqing, China
Abstract
In order to solve the problem of pinning node selection in undirected weighted networks, a pinning control strategy based on the entropy of betweenness centrality and node strength is proposed in this paper. Firstly, a complex network model is given where each node is the same dynamical system, secondly, sufficient conditions for the synchronization of this network are given, and specific steps of the betweenness centrality and node strength entropy-based pinning control strategy are proposed and applied to different networks. Finally, by comparing the neighborhood information entropy-based pinning control strategy, it is found that in order to synchronize the network, the number of key nodes pinned by the proposed pinning control strategy is smaller than the neighborhood information entropy-based pinning control strategy under different coupling strengths.
(2023) Published by SPIE. Downloading of the abstract is permitted for personal use only.
Haiyi Sun, Liang Cai, Chenxinxiao Lv, and Yanting Jia "Pinning control of complex networks based on the entropy of betweenness centrality and node strength", Proc. SPIE 12814, Third International Conference on Green Communication, Network, and Internet of Things (CNIoT 2023), 128141A (20 October 2023); https://doi.org/10.1117/12.3010418
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KEYWORDS
Matrices

Control systems

Adaptive control

Dynamical systems

Complex systems

Feedback control

Social networks

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