摘要
提出将关联规则方法应用到微群核心用户挖掘中,选取新浪微群作为具体实验对象,分别利用关联规则方法、主流的社交网络方法和常用的评价指标体系方法对采集到的真实微群数据集进行对比分析,验证模型的有效性。同时发现常用的评价指标体系方法需要根据微群的具体问题进行调整,而关联规则方法可自动处理,说明关联规则方法具有普适性。
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.
出处
《图书情报工作》
CSSCI
北大核心
2014年第2期115-120,共6页
Library and Information Service
基金
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
关键词
微群
核心用户
关联规则
SNA
指标体系
Micro-group influential users association rules SNA evaluation system
