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复杂系统与复杂性科学  2026, Vol. 23 Issue (2): 41-47    DOI: 10.13306/j.1672-3813.2026.02.006
  复杂网络 本期目录 | 过刊浏览 | 高级检索 |
基于负载重分配的边相依加权网络鲁棒性研究
高彦丽, 陈光明, 陈世明
华东交通大学电气与自动化工程学院,南昌 330013
Robustness of Edge-dependent Weighted Networks Based on Load Redistribution
GAO Yanli, CHEN Guangming, CHEN Shiming
College of Electrical and Automation Engineering, East China Jiaotong University, Nanchang 330013, China
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摘要 针对实际网络中连边的属性长度影响边相依网络的负载容量,提出了考虑连边长度的负载容量加权模型对ER-ER,BA-BA,异构ER-BA网络和电力-信息相依网络的边相依网络的级联失效过程进行分析。研究网络在边失效时,不同的负载分配策略、网络结构、不同的容量系数和不同的攻击方式对边相依加权网络鲁棒性的影响。结果表明:提出的动态剩余容量负载分配策略可以提高网络的鲁棒性;在相应的范围内提高容量系数可以明显提高网络的鲁棒性;BA-BA网络抵抗大规模的随机故障的能力最差;相较于典型网络,在电力-信息相依网络中基于边权的蓄意攻击破坏程度更大。
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高彦丽
陈光明
陈世明
关键词 边相依网络连边长度负载重分配鲁棒性电力-信息网络    
Abstract:For real networks where the attribute length of connected edges affects the load capacity of edge-dependent networks, this paper proposes a load capacity-weighted model considering the length of connected edges to analyze the cascading failure process of edge-dependent networks in ER-ER, BA-BA, heterogeneous ER-BA networks and power-information-dependent networks. The effects of different load allocation strategies, network structures, different capacity factors and different attacks on the robustness of edge-dependent weighted networks are investigated when the networks fail at the edges. The results show that, the dynamic residual capacity load allocation strategy proposed in this paper can improve the robustness of the network; Increasing the capacity factor in the corresponding range significantly improves the robustness of the network; BA-BA networks are least able to resist large-scale random failures; Compared to typical networks, edge-based deliberate attacks are more destructive in power-information dependent networks.
Key wordsedge-dependent networks    connecting edge length    load redistribution    robustness    power-information networks
收稿日期: 2024-03-02      出版日期: 2026-05-19
:  TP273  
  N94  
基金资助:国家自然科学基金(62341306);江西省自然科学基金(20232BAB202033)
通讯作者: 陈世明(1977-),男,江西九江人,博士,教授,主要研究方向为复杂网络理论及应用、多智能体系统协调控制等。   
作者简介: 高彦丽(1978-),女,山西临汾人,博士,副教授,主要研究方向为复杂网络鲁棒性能。
引用本文:   
高彦丽, 陈光明, 陈世明. 基于负载重分配的边相依加权网络鲁棒性研究[J]. 复杂系统与复杂性科学, 2026, 23(2): 41-47.
GAO Yanli, CHEN Guangming, CHEN Shiming. Robustness of Edge-dependent Weighted Networks Based on Load Redistribution[J]. Complex Systems and Complexity Science, 2026, 23(2): 41-47.
链接本文:  
https://fzkx.qdu.edu.cn/CN/10.13306/j.1672-3813.2026.02.006      或      https://fzkx.qdu.edu.cn/CN/Y2026/V23/I2/41
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