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Robustness of network controllability in cascading failure

Shi-Ming Chen, Yun-Fei Xu and Sen Nie

Physica A: Statistical Mechanics and its Applications, 2017, vol. 471, issue C, 536-539

Abstract: It is demonstrated that controlling complex networks in practice needs more inputs than that predicted by the structural controllability framework. Besides, considering the networks usually faces to the external or internal failure, we define parameters to evaluate the control cost and the variation of controllability after cascades, exploring the effect of number of control inputs on the controllability for random networks and scale-free networks in the process of cascading failure. For different topological networks, the results show that the robustness of controllability will be stronger through allocating different control inputs and edge capacity.

Keywords: Structural controllability; Cascading failure; Edge capacity; Complex networks (search for similar items in EconPapers)
Date: 2017
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Citations: View citations in EconPapers (8)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:phsmap:v:471:y:2017:i:c:p:536-539

DOI: 10.1016/j.physa.2016.12.045

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Physica A: Statistical Mechanics and its Applications is currently edited by K. A. Dawson, J. O. Indekeu, H.E. Stanley and C. Tsallis

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