2019
DOI: 10.1016/j.chaos.2019.07.030
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Stability analysis of nonlinear oscillator networks based on the mechanism of cascading failures

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Cited by 9 publications
(4 citation statements)
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“…When the scale-free network is generated, the initial number of nodes M 0 of the network is determined first, and then one node is added for each time step according to the set rules. The added generation node can be connected to m (m≤M 0 ) existing nodes [5]. Generally, when the generation node is connected to the existing node, the connection probability is proportional to the degree of the original node [6].…”
Section: Calculation Methods Of Network Degree and Degree Distributionmentioning
confidence: 99%
“…When the scale-free network is generated, the initial number of nodes M 0 of the network is determined first, and then one node is added for each time step according to the set rules. The added generation node can be connected to m (m≤M 0 ) existing nodes [5]. Generally, when the generation node is connected to the existing node, the connection probability is proportional to the degree of the original node [6].…”
Section: Calculation Methods Of Network Degree and Degree Distributionmentioning
confidence: 99%
“…In the research on cascading failure propagation in interdependent networks, Sisi Duan et al [18] studied the application of optimal broadcasting algorithms in cascading failure propagation in interdependent networks, proposing distributed algorithms and centralized algorithms for node failure analysis. Yubo Huang et al [19] proposed a small perturbation analysis method to identify abnormal nodes, enhancing network resilience against cascading failure attacks by controlling the abnormal nodes after an attack. The results also showed that increasing coupling strength can significantly improve network stability.…”
Section: Introductionmentioning
confidence: 99%
“…An and Gao detected the significant nodes in two-layer flow networks [21]. To study the influence of different parameters on the invulnerability of the network cascading failure, researchers conducted a lot of experiments and discovered the influence of degree distribution, network flow, and attack type on the robustness of the network [22][23][24][25][26][27][28][29].…”
Section: Introductionmentioning
confidence: 99%