期刊信息

  • 刊名: 河北师范大学学报(自然科学版)Journal of Hebei Normal University (Natural Science)
  • 主办: 河北师范大学
  • ISSN: 1000-5854
  • CN: 13-1061/N
  • 中国科技核心期刊
  • 中国期刊方阵入选期刊
  • 中国高校优秀科技期刊
  • 华北优秀期刊
  • 河北省优秀科技期刊

基于权重的马尔可夫随机游走相似度度量的实体识别方法

  • 1. 南京大学计算机软件新技术国家重点实验室, 江苏 南京 210093;
    2. 安阳工学院计算机科学与信息工程系, 河南安阳 455000
  • DOI:

Method on Entity Identif ication Using Similarity MeasureBase on the Weight of Markov Random Walk

摘要/Abstract

摘要:

社会网络分析方法是一种量化的社会学分析方法,它将社会行动者映射为图的节点,社会行动者之间的关系映射为图的边,然后利用图论的相关知识来解决社会网络的问题.在算法改进和系统实现层面展开数据挖掘在社会网络分析中的应用研究,在对基于图的实体识别方法进行深入研究的基础上,提出了基于马尔可夫随机游走相似度度量的方法,使其能够应用于有权有向图上的实体识别,并在此基础上提出可以处理多链接属性的实体识别算法.基于电信分析系统平台,重点研究和分析了上述算法的具体应用并在电信数据集上进行测试,应用结果表明上述算法的有效性和实用性。

Abstract:

Social network analysis is an approach to quantify the sociological analysis. It maps the social actors to nodes,socialrelationship between actors to edges,and then uses knowledge of graph theory to solve theproblems in social networks. This thesis puts emphasis upon the algorithm improvement and system implementation in the domain of data mining and social network analysis,on the basis of indepth study on the entity resolution methods based on graph,new similarity measures are proposed and successfully applied to entity resolution on weighted and directed graph,which is similarity measure based on markov random walk. A telcom analysissystem integrated with the proposed algorithms is int roduced and also the proposed algorithms are validated on real telcom data set based on the telcom analysis system.