太原理工大学学报2016，Vol.47Issue(6)：786-792,7.DOI:10.16355/j.cnki.issn1007-9432tyut.2016.06.019
社交网络中微博用户行为的分析与预测
Analysis and Prediction of Microblog User Behavior on Social Networks
摘要
Abstract
Microblog is a platform on which the public can put forward their opinions and communicate with each other.Retweet behavior is the key mechanism for information diffusion on microblogging networks.On the basis of real data from Sina Weibo,this paper predicts users’ retweet behavior using four features which affect user’s behavior,including user attributes,mi-croblog text features,interactive attributes and local structures.Furthermore,we utilize differ-ent supervised classifiers to predict retweet behavior.The experiments and evaluation show the effectiveness of our feature choices.The results show that the selected,features combined with the Logistic Regression model,can predict users’sretweet behavior more accurately.关键词
社会网络/微博/转发行为/预测Key words
social networks/microblog/retweet behavior/prediction分类
信息技术与安全科学引用本文复制引用
刘敏,王莉..社交网络中微博用户行为的分析与预测[J].太原理工大学学报,2016,47(6):786-792,7.基金项目
山西省自然科学基金资助项目:基于媒体大数据的信息消费服务关键技术及示范应用(2014AA015204) （2014AA015204）
