一种新的网络核心挖掘方法在情报分析中的应用  

Application of a New Network Core Mining Method in Information Analysis

作　　者：田宏[1] 万果锋[1] 

机构地区：[1]大连交通大学软件学院,大连116028

出　　处：《情报学报》2011年第2期212-218,共7页Journal of the China Society for Scientific and Technical Information

基　　金：辽宁省教育厅计划项目

摘　　要：现代化信息技术和手段在科学情报领域的应用是情报学的重要内容之一.基于社会网络分析的中心性分析,本文提出了一种基于节点核心影响度的网络核心挖掘方法.该方法用中心覆盖性因子和差异因子作为考量标准,从节点联系的覆盖范围、影响程度和与其他节点的差异性三个方面全面衡量网络中的全部节点,从而找出核心节点,并将其应用在网络情报分析中.实验表明该方法具有很高的准确性和很好的合理性.The application of modern information technologies is one of important part in the scientific information domain. Based on the centrality analysis of social network analysis, this paper puts forward the network core mining method which based on core effect. It uses centre coverage factor, difference factor as consideration standards. The method is linked from the node coverage, influence level and differences with the other nodes, totally measure all the network nodes, and discover the core node. We applied in network information analysis. The experiment shows the high accuracy and reasonableness of this method.

关 键 词：社会网络分析 中心覆盖性因子 差异因子 影响度 

分 类 号：G35[文化科学—情报学]