邮件关系网络中关键人物识别研究

摘要

E-mail is a widely used network communication tool currently. The mail relationship network can reflect the social relation of persons, so the key figures in the relationship network are the hot topics in the data mining field. Based on the Enron mail network datasets, the paper proposes a comprehensive evaluation algorithm to find out the organization structure of the Enron Corp and the key roles. The algorithm proves effective by ana-lyzing communication behaviors and mail contents.%电子邮件是当前广泛使用的网络通信工具,邮件关系网络反映了人物间的社会关系,因此利用邮件数据识别出关系网络中的关键人物是数据挖掘领域的热点课题.本文以安然公司(Enron)邮件网络数据集为研究对象,通过一种综合评价算法来找出安然公司高管的组织结构及关键人物,主要从通信行为和邮件内容两个方面进行分析并验证该算法的有效性.