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DBSCAN算法在电子邮件网络社团发现中的应用
引用本文:杨芳勋.DBSCAN算法在电子邮件网络社团发现中的应用[J].计算机科学,2017,44(Z6):591-593.
作者姓名:杨芳勋
作者单位:四川九洲集团中央研究院 成都610041
摘    要:针对电子邮件复杂网络中的社团发现问题,将具有良好聚类性能的DBSCAN算法引入电子邮件网络社团发现。基于对该算法的分析,研究了电子邮件网络社团发现的系统架构及算法实现流程。最后通过对安然邮件语料集的测试验证了DBSCAN算法在社团发现中的可行性。

关 键 词:电子邮件网络  社团发现  DBSCAN算法

Application of DBSCAN Algorithm in Electronic Mail Network Community Detection
YANG Fang-xun.Application of DBSCAN Algorithm in Electronic Mail Network Community Detection[J].Computer Science,2017,44(Z6):591-593.
Authors:YANG Fang-xun
Affiliation:Central Research Institute of Sichuan Jiuzhou Group,Chengdu 610041,China
Abstract:According to the community detection in the email complex network,the DBSCAN algorithm was introduced into the email network to detect the community in this paper.Based on the analysis of the algorithm,the system architecture and algorithm implementation process of email network community detection were studied.Finally,the feasibility of the DBSCAN algorithm in electronic mail network community detection was verified by the test of the Enron email corpus.
Keywords:Electronic mail network  Community detection  DBSCAN algorithm
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