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节点收缩和分解对节点加权复杂网络效能影响评价
引用本文:孙栋,张勇,刘亚东,李敏堂,邵相军.节点收缩和分解对节点加权复杂网络效能影响评价[J].兵工自动化,2014,33(2):52-56.
作者姓名:孙栋  张勇  刘亚东  李敏堂  邵相军
作者单位:[1]总后军事交通运输研究所,天津300161 [2]装甲兵工程学院技术保障工程系,北京100072 [3]军事交通学院装备保障系,天津300161
摘    要:针对复杂网络中无权网络不能解决节点之间相互作用的强度和连边的多样性、差异性等问题,对加权复杂网络中节点收缩和分解其影响进行研究。通过构建节点加权复杂网络模型,定义了网络服务效能和抗毁性能评价指标,分析了其效能评价指标,对网络中加权节点的收缩与分解过程进行形式化描述,在此基础上提出了节点收缩和分解实现算法和网络效能评价方法,并以典型的装备保障网络为例,对该评价方法的有效性和可行性进行了验证。实践分析表明:1)网络节点收缩可有效提高网络的服务效率,但抗毁性下降,节点分解则与之相反;2)网络中负载分布的均匀性与收缩和分解节点的网络拓扑位置及节点的负载情况有很重要的关系。

关 键 词:复杂网络  节点收缩  节点分解  效能
收稿时间:2014/4/16 0:00:00

Evaluation for Influence of Node Contraction and Decomposition on Efficiency of Node-Weighted Complex Networks
Sun Dong,Zhang Yong,Liu Yadong,Li Mintang,Shao Xiangjun.Evaluation for Influence of Node Contraction and Decomposition on Efficiency of Node-Weighted Complex Networks[J].Ordnance Industry Automation,2014,33(2):52-56.
Authors:Sun Dong  Zhang Yong  Liu Yadong  Li Mintang  Shao Xiangjun
Affiliation:1 (1. Institute of Military Transportation of The General Logistics, Tianjin 300161, China; 2. Department of Technology Support Engineering, Academy of Armoured Force Engineering, Beijing 100072, China; 3. Department of Equipment Support, Academy of Military Transportation, Tianjin 300161, China)
Abstract:Node contraction and decomposition is an important kind of complex network evolution. In order to research the influence of node contraction and decomposition on the efficiency of node-weighted complex networks, the model of node-weighted complex networks was built, and the evaluation indexes were analyzed. Then, the implementation algorithm of node contraction and decomposition and the evaluation method of network efficiency were put forward. Finally, the validity and adaptability of the proposed method was verified by a specific example of equipment support network. The result shows that the method of node contraction which is different from node decomposition completely could raise the network's efficiency, lower the fragility of the network. The uniformity for load distribution of network was significantly correlated with the topology location of the contractive and decomposed node and the load condition of node.
Keywords:complex networks  node contraction  node decomposition  efficiency
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