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基于PageRank算法的武器装备体系重要节点评估
引用本文:李锴,吴纬,刘福胜,陈庚申,陈守华.基于PageRank算法的武器装备体系重要节点评估[J].火力与指挥控制,2017,42(11).
作者姓名:李锴  吴纬  刘福胜  陈庚申  陈守华
作者单位:1. 装甲兵工程学院,北京,100072;2. 后勤学院,北京,100858
基金项目:装备技术基础基金资助项目
摘    要:将武器装备系统抽象为网络节点,利用复杂网络理论研究评估武器装备体系中的重要节点。针对传统PageRank算法在该应用中存在的问题,提出一种修正的PageRank算法。该算法对悬挂节点及有向环状网络节点的重要度评估具备收敛性。仿真实例验证了该修正算法对双目标作战环节点重要度评估的有效性。为了进一步验证所提算法的准确性,引入特征谱理论和移除节点法评估网络的抗毁性。

关 键 词:PageRank算法  武器装备体系  复杂网络  节点重要度

Evaluating Nodes Importance in Equipment System-of-Systems Based on PageRank Algorithm
LI Kai,WU Wei,LIU Fu-sheng,CHEN Geng-shen,CHEN Shou-hua.Evaluating Nodes Importance in Equipment System-of-Systems Based on PageRank Algorithm[J].Fire Control & Command Control,2017,42(11).
Authors:LI Kai  WU Wei  LIU Fu-sheng  CHEN Geng-shen  CHEN Shou-hua
Abstract:To research the equipment System-of-Systems based on the complex network theory, the equipment systems are regarded as the nodes in the network. In this paper,the nodes importance in equipment System-of-Systems is evaluated based on the amendatory PageRank algorithm to avoid the deficiencies of the basic PageRank algorithm. The amendatory PageRank algorithm possess convergence with dangling node and directed circular network. The simulation results show the amendatory PageRank algorithm could be used to evaluate the nodes importance for two targets combat circle. Finally the results of the nodes importance is conformed based on the spectral measure and node removed process to assess theinvulnerability of the network.
Keywords:PageRank algorithm  equipment system-of-systems  complex network  nodes importance
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