摘要
针对SNS用户行为存在序列性这个特点,文章提出了一种SNS用户行为分析模型。模型以SNS群体用户为研究对象,引入序列模式挖掘的方法实现用户行为分析,最终获得用户的频繁行为序列模式。文章应用实例对该模型进行了可行性验证,并对未来研究进行展望。
This paper proposed an analysis and prediction model to analyze the user behavior in Social Network Service based on the sequence characteristics of SNS user behavior.The model which was specific to community users import sequential patterns mining to achieve analysis target,users’ frequent behavior sequence mode.Finally,an example was provided to validate the feasibility.
出处
《现代情报》
CSSCI
2013年第3期56-60,65,共6页
Journal of Modern Information
关键词
社交网络
社群发现
行为分析
序列模式
SNS
community detection
behavior analysis
sequential pattern
