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复杂系统与复杂性科学  2026, Vol. 23 Issue (2): 19-25    DOI: 10.13306/j.1672-3813.2026.02.003
  复杂网络 本期目录 | 过刊浏览 | 高级检索 |
层节点攻击模式下的多层网络最优拆解算法
韩继辉a, 张程义a, 石月凤b, 胡颖a
郑州轻工业大学 a.计算机与人工智能学院; b.郑州轻工业大学信息化管理中心,郑州 450001
Optimal Dismantling Algorithms for Multiplex Networks Under Layer Node-based Attacks
HAN Jihuia, ZHANG Chengyia, SHI Yuefengb, HU Yinga
a. School of Computer Science and Artificial Intelligence; b. Information Management Center, Zhengzhou University of Light Industry, Zhengzhou 450001, China
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摘要 针对多层网络在层节点攻击模式下的最优拆解问题,提出了两种新算法。这些算法通过综合考虑层内结构特征和跨层连接模式,精确评估节点的重要性,从而有效识别出对网络结构和功能至关重要的层节点。为了验证算法的性能,在大量人工和真实多层网络上进行了广泛测试。结果表明,所提出的算法不仅能够高效识别关键层节点,生成更小的拆解集,同时还具有较低的时间复杂度,展现出处理大规模多层网络的良好适应性。
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韩继辉
张程义
石月凤
胡颖
关键词 多层网络网络鲁棒性关键节点网络拆解    
Abstract:This study focuses on the optimal dismantling problem in multiplex networks under layer node-based attacks. We propose two novel algorithms that integrate intra-layer structural features and inter-layer connections to precisely evaluate node importance, effectively identifying critical nodes essential for network structure and function. Extensive testing on both synthetic and real-world multiplex networks demonstrates that the proposed algorithms efficiently identify key layer nodes, generate smaller dismantling sets, and maintain low time complexity, making them well-suited for large-scale multiplex networks.
Key wordsmultiplex networks    network robustness    vital nodes    network dismantling
收稿日期: 2024-04-19      出版日期: 2026-05-19
:  TP391  
  N94  
基金资助:河南省科技攻关项目(232102210064)
通讯作者: 石月凤(1988-),女,河南周口人,硕士,工程师,主要研究方向为教育信息化建设、智慧教学、学习分析等。   
作者简介: 韩继辉(1987-),男,河南周口人,博士,讲师,主要研究方向为复杂网络、图深度学习等。
引用本文:   
韩继辉, 张程义, 石月凤, 胡颖. 层节点攻击模式下的多层网络最优拆解算法[J]. 复杂系统与复杂性科学, 2026, 23(2): 19-25.
HAN Jihui, ZHANG Chengyi, SHI Yuefeng, HU Ying. Optimal Dismantling Algorithms for Multiplex Networks Under Layer Node-based Attacks[J]. Complex Systems and Complexity Science, 2026, 23(2): 19-25.
链接本文:  
https://fzkx.qdu.edu.cn/CN/10.13306/j.1672-3813.2026.02.003      或      https://fzkx.qdu.edu.cn/CN/Y2026/V23/I2/19
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