Real-time Robustness Enhancement Strategies on Complex Network against Cascading Failures of Node
Author Names:
Dan Cui, Yingli Zhang
Author Affiliation:
Shanghai Ocean University
Author Email:
yl-zhang@shou.edu.cn
Publication Date:
April 24, 2026
Page numbers:
DOI Number:
https://doi.org/10.1177/14727978251358604
Abstract:
According to the behavior of cascading dynamics of complex network, we propose an R-T real-time adjustment strategy. Different from the rigid strategies to improve the robustness of the network by changing network structure, the new proposed strategy is a timely, executable and low-cost strategy that can flexibly reduce the load when overload occurs on nodes. The mechanism of the strategies is illustrated, and two adjustment schemes, degree-based and weight-based schemes for selecting and adopting protection measures on the overload nodes are proposed. Numerical simulation is conducted in Shanghai Metro Network. The simulation results show that the proposed strategies can effectively improve the robustness of the network, and compare to the HW adjustment scheme, HD adjustment scheme have a better performance in enhancing the robustness of the network. It also reveals that taking the cost into consideration, the coverage ratio of the real-time adjustment strategy on nodes is not the greater the better, there is a relative optimal value both in the case of random attack as well as deliberate attack.
Keywords:
network robustness, enhancement strategy, cascading failure, complex network
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