东北大学学报:自然科学版 ›› 2014, Vol. 35 ›› Issue (5): 663-666.DOI: 10.12068/j.issn.1005-3026.2014.05.013

• 信息与控制 • 上一篇    下一篇

一种通信网络节点重要性的计算公式

张小娟1,王旭峰2   

  1. (1北京航空航天大学 电子信息工程学院, 北京100191; 2中国人民解放军空军勤务学院, 江苏 徐州221000)
  • 收稿日期:2013-06-20 修回日期:2013-06-20 出版日期:2014-05-15 发布日期:2014-08-18
  • 通讯作者: 张小娟
  • 作者简介:张小娟(1982-),女,山西晋中人,北京航空航天大学博士研究生.
  • 基金资助:
    国家高技术研究发展计划项目(涉密项目,编号不公开).

Evaluation Formula for Communication Network Node Importance

ZHANG Xiaojuan1, WANG Xufeng2   

  1. 1 School of Electronics and Information Engineering, Beihang University, Beijing 100191, China. 2 Air Force Logistics College of Chinese People’s Liberation Army, Xuzhou 221000, China.
  • Received:2013-06-20 Revised:2013-06-20 Online:2014-05-15 Published:2014-08-18
  • Contact: ZHANG Xiaojuan
  • About author:-
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摘要: 针对基于节点的移除可能导致网络拓扑结构变化的不足,提出了一种确定通信网络节点重要性的评价公式.该公式综合考虑了节点在网络中的全局性影响,能精确地评价网络节点重要性,尤其对解决卫星网络的节点重要性评价方面.该计算公式定义了网络中节点重要性取决于该节点在网络中的位置信息和其他节点对该节点的贡献度.节点的位置由节点介数确定,其他节点对该节点的贡献度与其他节点的介数及紧密度相关.利用该公式对典型网络的节点重要性进行分析,并与其他评价方法进行对比,结果表明,该公式能精确并正确评价节点对网络的控制能力.

关键词: 通信网络, 节点重要性, 位置, 贡献, 介数, 紧密度

Abstract: Node importance evaluation based on removal of nodes and their incident links may change the topology of the network. An improved node importance evaluation method was proposed, in which the global importance is combined. The important nodes could be more accurately measured with the proposed method, especially in satellite networks. In the method, the importance of nodes are not only determined by its location in the network, but also limited by the contribution of its neighboring nodes. The location of the node is determined by its betweenness, and the contribution of the node is impacted by the betweenness and closeness centrality of other nodes. The method was compared with the noderemoval based method in the analysis of advanced research project agency (ARPA) net topology. The results showed that the node importance could be accurately represented by the proposed method.

Key words: communication network, node importance, location, contribution, betweenness, closeness centrality

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