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复杂系统与复杂性科学  2020, Vol. 17 Issue (3): 1-26    DOI: 10.13306/j.1672-3813.2020.03.001
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复杂网络鲁棒性增强策略研究综述
王哲1,2, 李建华1, 康东1,2, 冉淏丹2
1.空军工程大学信息与导航学院,西安 710071;
2.国防科技大学信息通信学院,西安 710100
Review on Strategies Enhancing the Robustness of Complex Network
WANG Zhe1,2, LI Jianhua1, KANG Dong1,2, RAN Haodan2
1. Information and Navigation College, Air Force Engineering University, Xi'an 710077, China;
2. College of information and communication, National University of Defense Technology, Xi'an 710100, China
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摘要 复杂网络鲁棒性增强是近年来网络科学领域的热点,探讨鲁棒性增强策略对于网络结构设计与功能改进有着重要的科学意义和理论价值。在广泛整理与系统分析国内外文献的基础上,从事前防御、事中恢复与事后优化3个方面,全面梳理了当前复杂网络鲁棒性增强研究的关注重点与主要思想,对比分析了不同策略的优缺点与适用性,最后总结展望了该领域未来的研究方向。
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王哲
李建华
康东
冉淏丹
关键词 复杂网络鲁棒性防御恢复优化增强策略    
Abstract:The enhancement of the robustness of complex networks has been a hotspot in the field of network science in recent years. It is both of great scientific significance and theoretical value to explore the strategy of enhancing the robustness for network structure design and function improvement. On the basis of extensive collation and systematic analysis of domestic and foreign literature, this paper summarizes comprehensively the key point and main ideasof the current research on the enhancement strategies of complex networks robustness from three aspects: pre-defense, in-process recovery and post-optimization. The advantages, disadvantages and applicability of different strategies are compared and analyzed. Then we look forward to future research direction in this field.
Key wordscomplex network    robustness    defense    recovery    optimization    enhancing strategy
收稿日期: 2020-03-10      出版日期: 2020-09-23
ZTFLH:  N94  
基金资助:国防科技战略先导计划项目(19-ZLXD-04-11-01-100-01);全军军事类研究生重点资助课题(JY2018B113)
作者简介: 王哲(1985-),男,陕西延安人,讲师,博士研究生,主要研究方向为复杂系统建模与仿真。
引用本文:   
王哲, 李建华, 康东, 冉淏丹. 复杂网络鲁棒性增强策略研究综述[J]. 复杂系统与复杂性科学, 2020, 17(3): 1-26.
WANG Zhe, LI Jianhua, KANG Dong, RAN Haodan. Review on Strategies Enhancing the Robustness of Complex Network. Complex Systems and Complexity Science, 2020, 17(3): 1-26.
链接本文:  
http://fzkx.qdu.edu.cn/CN/10.13306/j.1672-3813.2020.03.001      或      http://fzkx.qdu.edu.cn/CN/Y2020/V17/I3/1
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