中国物理B ›› 2023, Vol. 32 ›› Issue (2): 28902-028902.doi: 10.1088/1674-1056/aca208

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Analysis of cut vertex in the control of complex networks

Jie Zhou(周洁)1, Cheng Yuan(袁诚)1, Zu-Yu Qian(钱祖燏)1, Bing-Hong Wang(汪秉宏)2, and Sen Nie(聂森)1,†   

  1. 1 School of Electrical and Automation Engineering, East China Jiaotong University, Nanchang 330013, China;
    2 Department of Modern Physics, University of Science and Technology of China, Hefei 230026, China
  • 收稿日期:2022-04-15 修回日期:2022-09-10 接受日期:2022-11-11 出版日期:2023-01-10 发布日期:2023-01-31
  • 通讯作者: Sen Nie E-mail:niesen@ecjtu.edu.cn
  • 基金资助:
    Project supported by the National Natural Science Foundation of China (Grant No. 61763013), the Natural Science Foundation of Jiangxi Province of China (Grant No. 20202BABL212008), the Jiangxi Provincial Postdoctoral Preferred Project of China (Grant No. 2017KY37), and the Key Research and Development Project of Jiangxi Province of China (Grant No. 20202BBEL53018).

Analysis of cut vertex in the control of complex networks

Jie Zhou(周洁)1, Cheng Yuan(袁诚)1, Zu-Yu Qian(钱祖燏)1, Bing-Hong Wang(汪秉宏)2, and Sen Nie(聂森)1,†   

  1. 1 School of Electrical and Automation Engineering, East China Jiaotong University, Nanchang 330013, China;
    2 Department of Modern Physics, University of Science and Technology of China, Hefei 230026, China
  • Received:2022-04-15 Revised:2022-09-10 Accepted:2022-11-11 Online:2023-01-10 Published:2023-01-31
  • Contact: Sen Nie E-mail:niesen@ecjtu.edu.cn
  • Supported by:
    Project supported by the National Natural Science Foundation of China (Grant No. 61763013), the Natural Science Foundation of Jiangxi Province of China (Grant No. 20202BABL212008), the Jiangxi Provincial Postdoctoral Preferred Project of China (Grant No. 2017KY37), and the Key Research and Development Project of Jiangxi Province of China (Grant No. 20202BBEL53018).

摘要: The control of complex networks is affected by their structural characteristic. As a type of key nodes in a network structure, cut vertexes are essential for network connectivity because their removal will disconnect the network. Despite their fundamental importance, the influence of the cut vertexes on network control is still uncertain. Here, we reveal the relationship between the cut vertexes and the driver nodes, and find that the driver nodes tend to avoid the cut vertexes. However, driving cut vertexes reduce the energy required for controlling complex networks, since cut vertexes are located near the middle of the control chains. By employing three different node failure strategies, we investigate the impact of cut vertexes failure on the energy required. The results show that cut vertex failures markedly increase the control energy because the cut vertexes are larger-degree nodes. Our results deepen the understanding of the structural characteristic in network control.

关键词: cut vertex, controllability, control energy, structural characteristic, complex networks

Abstract: The control of complex networks is affected by their structural characteristic. As a type of key nodes in a network structure, cut vertexes are essential for network connectivity because their removal will disconnect the network. Despite their fundamental importance, the influence of the cut vertexes on network control is still uncertain. Here, we reveal the relationship between the cut vertexes and the driver nodes, and find that the driver nodes tend to avoid the cut vertexes. However, driving cut vertexes reduce the energy required for controlling complex networks, since cut vertexes are located near the middle of the control chains. By employing three different node failure strategies, we investigate the impact of cut vertexes failure on the energy required. The results show that cut vertex failures markedly increase the control energy because the cut vertexes are larger-degree nodes. Our results deepen the understanding of the structural characteristic in network control.

Key words: cut vertex, controllability, control energy, structural characteristic, complex networks

中图分类号:  (Structures and organization in complex systems)

  • 89.75.Fb
89.75.-k (Complex systems) 02.30.Yy (Control theory)