基于边耦合的双层网络鲁棒性优化
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华东交通大学 电气与自动化工程学院,南昌 330013

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E-mail: shmchen@ecjtu.jx.cn.

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TP273

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国家自然科学基金项目(61973118);江西省重点研发计划重点项目(20212BBE51010).


Robustness optimization of two-layer network based on edge coupling
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College of Electrical and Automation Engineering,East China Jiaotong University,Nanchang 330013,China

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    摘要:

    近年来相依网络鲁棒性的研究引起人们广泛关注,考虑到实际网络中具有边耦合关系的一类双层边耦合网络,研究网络中存在边失效时双层网络中的网络结构和负载容量模型参数对边耦合网络鲁棒性的影响.研究结果表明:网络结构越趋向异质化,网络鲁棒性越好;直接受攻击网络的负载容量参数能够有效改变网络的相变行为,容量增大使得耦合网络的相变行为从一阶到混合相变,再到二阶相变,但不会提高网络在大规模攻击下的存活规模,并且通过增大直接受攻击网络的负载容量参数来改善网络鲁棒性能需要花费的代价较高;间接受攻击网络负载容量参数增大可以显著提高网络的鲁棒性,其效果受网络初始负载分布影响.进一步研究发现,改变网络的初始负载模型函数可以调整影响网络存活规模的负载容量参数的关键值,最后分析了成本约束下耦合网络鲁棒性能最优化的容量参数设置.

    Abstract:

    In recent years, the research on the robustness of interdependent networks has attracted lots of attention. Considering a type of two-layer edge-coupled networks with edge-coupling relationships in practical networks, this paper studies the effects of network structure and load capacity model parameters on the robustness of edge-coupled networks when there is an edge failure in the network. The results show that the network structure tends to be more heterogeneous, and the system is more robust. The load capacity parameters of the directly attacked network can effectively change the percolation behaviors of the network, and the increasing of the initial capacity makes the percolation behaviors change from first-order phase transitions to hybrid-phase transitions, and then to the second-order phase transitions, but it is unable to increase the survival scale of the network under large-scale attacks and it costs too much to improve the robustness. The increasing of initial capacity parameter of the indirectly attacked network can significantly improve the robustness of the network, and is affected by the initial load distribution of the network. Further research finds that the different initial load models function leads to the different initial load distributions, which can optimize the value of the critical load capacity parameter. Finally, the capacity parameter settings for optimizing the robust performance of the coupled network under cost constraints are analyzed.

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高彦丽,梁崇生,陈世明.基于边耦合的双层网络鲁棒性优化[J].控制与决策,2023,38(9):2714-2720

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  • 在线发布日期: 2023-09-04
  • 出版日期: 2023-09-20
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