常态执勤指挥模型关键节点识别及抗毁性研究  

Identification of key nodes and research the anti⁃destruction performance of normal duty command model

作　　者：郭正轩 梁文俊 苏旸 陈芮 GUO Zhengxuan;LIANG Wenjun;SU Yang;CHEN Rui(Engineering University of PAP,Xi'an 710000,China;The People's Armed Police Command College,Tianjin 300000,China;Beijing Municipal Commission of transport,Beijing 100000,China)

机构地区：[1]武警工程大学,陕西西安710000 [2]武警指挥学院,天津300000 [3]北京市交通委员会,北京100000

出　　处：《指挥控制与仿真》2024年第2期84-89,共6页Command Control & Simulation

摘　　要：在常态执勤指挥模型的基础上,重点对树状指挥网络和级联指挥网络的抗毁性进行研究。通过建模仿真的方法,对三种执勤指挥模型进行随机攻击和蓄意攻击,对比分析最大连通子图规模、网络效率和全局聚集系数等指标,找出抗毁性最强的常态执勤指挥网络模型。应用集体影响力算法识别抗毁性能最好的指挥网络的关键节点,与基于节点度大小的传统关键节点识别方法进行对比,证明基于集体影响力算法识别关键节点更加准确,目的是为未来常规执勤指挥网络的优化和防护提供理论指导。The research emphasized the invulnerability of tree command network and Cascade Command network based on the normal duty command model.Random attack and deliberate attack are employed on three kinds of duty command models.The paper found out the best antidestruction performance model by comparing and analyzing indicators like the indexes of maximum connectivity subgraph size,network efficiency,global aggregation coefficient etc.The collective influence algorithm is used to identify the key nodes of the command network with the best antidestruction performance,and compared with the traditional key node identification method based on node degree,it is proved that it is more accurate to identify key nodes based on the collective influence algorithm which could provide theoretical guidance for the optimization and protection of the future regular duty command network.

关 键 词：复杂网络 执勤指挥网络 建模仿真 抗毁性 集体影响力算法 

分 类 号：E917[军事] TP393[自动化与计算机技术—计算机应用技术]