Research on invulnerability of the random scale-free network against cascading failure
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DOI: 10.1016/j.physa.2015.08.017
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Cited by:
- Yushu Sun & Xisheng Tang & Guowei Zhang & Fufeng Miao & Ping Wang, 2017. "Dynamic Power Flow Cascading Failure Analysis of Wind Power Integration with Complex Network Theory," Energies, MDPI, vol. 11(1), pages 1-15, December.
- Li Li & Haifen Lin & Yibo Lyu, 2022. "Technology cluster coupling and invulnerability of industrial innovation networks: the role of centralized structure and technological turbulence," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(3), pages 1209-1231, March.
- Zhou, Lin & Qi, Xiaogang & Liu, Lifang, 2023. "Robustness of networks with dependency groups considering fluctuating loads and recovery behaviors," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 613(C).
- Chen, Lei & Kou, Yingxin & Li, Zhanwu & Xu, An & Wu, Cheng, 2018. "Empirical research on complex networks modeling of combat SoS based on data from real war-game, Part I: Statistical characteristics," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 490(C), pages 754-773.
- Nguyen, Win P.V. & Nof, Shimon Y., 2020. "Strategic lines of collaboration in response to disruption propagation (CRDP) through cyber-physical systems," International Journal of Production Economics, Elsevier, vol. 230(C).
- Fu, Chaoqi & Wang, Ying & Gao, Yangjun & Wang, Xiaoyang, 2017. "Complex networks repair strategies: Dynamic models," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 482(C), pages 401-406.
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Keywords
Random scale-free network; Cascading failure; Power exponent; Critical threshold;All these keywords.
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