收稿日期: 2013-12-10
修回日期: 2014-01-06
网络出版日期: 2014-01-20
基金资助
本文系国家社会科学基金项目“基于大数据技术的微博问政话题挖掘研究”（项目编号：13BTJ005）研究成果之一。
Identifying Influential Users in Micro-group Using Association Rules
Received date: 2013-12-10
Revised date: 2014-01-06
Online published: 2014-01-20
王和勇 , 蓝金炯 . 微群核心用户挖掘的关联规则方法的应用[J]. 图书情报工作, 2014 , 58(02) : 115 -120 . DOI: 10.13266/j.issn.0252-3116.2014.02.019
This paper proposes a recognition model using association rules to identify the target users and choose Sina micro-group to build the model of association rules using the true data set. In order to ensure the validity of the model, this paper compares the result of association model with that of the current social network analysis and evaluation system. Lastly, in comparison with evaluation system, it is found that evaluation system should be modified to adapt the specific issues in micro-group and the association rules method can automatically process those problems, which also illustrates the universal use of the mode of association rules.
Key words： Micro-group; influential users; association rules; SNA; evaluation system
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