Evaluation Method for Node Importance in Communication Network Based on Mutual Information

MA Run-nian; WANG Ban; WANG Gang; GUO Xiao-cheng; LIU Wen-bin

doi:10.3969/j.issn.0372-2112.2017.03.035

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Evaluation Method for Node Importance in Communication Network Based on Mutual Information

更新时间：2025-07-16

- Evaluation Method for Node Importance in Communication Network Based on Mutual Information
- Acta Electronica Sinica Vol. 45, Issue 3, Pages: 747-752(2017)
- 作者机构：
  
  1. 空军工程大学信息与导航学院,陕西,西安,710077
  2. 温州大学物理与电子信息工程学院,浙江,温州,325035
  3. 解放军95007部队,广东,广州,510410
  4. 空军工程大学信息与导航学院,陕西,西安,710077
  5. 温州大学物理与电子信息工程学院,浙江,温州,325035
  6. 解放军95007部队,广东,广州,510410
- 作者简介：
- 基金信息：
- DOI：10.3969/j.issn.0372-2112.2017.03.035
  CLC： TP393
- Published：2017
- 稿件说明：
移动端阅览
MA Run-nian, WANG Ban, WANG Gang, et al. Evaluation Method for Node Importance in Communication Network Based on Mutual Information[J]. Acta Electronica Sinica, 2017, 45(3): 747-752.
DOI：

MA Run-nian, WANG Ban, WANG Gang, et al. Evaluation Method for Node Importance in Communication Network Based on Mutual Information[J]. Acta Electronica Sinica, 2017, 45(3): 747-752. DOI： 10.3969/j.issn.0372-2112.2017.03.035.

摘要

信息化条件下的复杂网络对节点的蓄意攻击非常脆弱，因此准确发掘出网络中的核心节点并进行重点保护对提高网络抗毁性至关重要.在分析特殊条件下通信网络特征属性的基础上，借鉴通信系统中关于信息量的定义方法，提出了改进的适用于有向加权网络的节点重要性评估方法.在小规模混合加权网络中对该方法和已有方法进行了对比分析，验证了本文方法的有效性和优势性.构建了一种基于BBV（Barrat-Barthelemy-Vespignani）的混合加权网络演化模型，并对生成的大规模通信网络进行了节点重要性评估仿真，实验结果表明：与现有评估方法相比，本文方法能够更加简单、有效地评估网络节点的重要性.

Abstract

The intentional attacks on the nodes makes the complex network very fragile under information condition

so it is very important to explore accurately and then protect these core nodes in the network.Based on analyzing the characteristics of communication network under the special condition

and taking the definition method of amount of information in the information communication system for reference

this paper propose a new evaluation method that are suitable for the directed-weighted networks.Through the comparative analysis of this method and the existing methods in small-scale mixed weighted network

the validity and advantage of this method is verified.The mixed weighted network evolution model based on BBV(Barrat-Barthelemy-Vespignani)is established

and the simulation which to evaluate the node importance in the generated large-scale communication network is performed.The experiment analysis results show that the proposed method may evaluate the node importance more easily and effectively than that of the state of the evaluation method.

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