Journal of Computer Applications

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Community mining with heterogeneous relation

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  • Received:2007-06-12 Revised:1900-01-01 Online:2007-12-01 Published:2007-12-01
  • Contact: WANG Jin-Long

面向异质关系的社区挖掘

王金龙 徐从富 骆国靖   

  1. 青岛理工大学 计算机工程学院 浙江大学计算机科学与技术学院 浙江大学计算机科学与技术学院
  • 通讯作者: 王金龙

Abstract: The problem of mining hidden communities on heterogeneous social networks was investigated. On the basis of the bibliographical data, this issue solved community mining problem in heterogeneous relation, and extracted the relation chain. Therefore, it can help researchers do some research work.

Key words: community mining, relation mining, heterogeneous relation, relation chain

摘要: 利用数据挖掘技术,并结合最优化理论知识,研究了基于文献数据的异质关系挖掘问题,应用最小分割最大化的关系抽取算法,挖掘具有共同研究兴趣的研究者社区。在此基础上实现了基于关系链的挖掘分析,解决了应用当中的实际问题,能够更好地辅助研究者进行研究工作。

关键词: 社区挖掘, 关系挖掘, 异质关系, 关系链

CLC Number: