Analyzing Social Media Friendship for Personalization

被引:0
作者
Han, Jonghyun [1 ]
Lee, Hyunju [1 ]
机构
[1] Gwangju Inst Sci & Technol, Kwangju, South Korea
来源
PROCEEDINGS OF THE 2012 WORKSHOP ON DATA-DRIVEN USER BEHAVIORAL MODELLING AND MINING FROM SOCIAL MEDIA | 2012年
关键词
Twitter; Social Media Analysis; Friendship;
D O I
暂无
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Since social media users have various purpose such as tightening friendship and obtaining information, it might be easier to model a user's interest and to provide personalized information if the user's purpose can be inferred. In this paper, we analyze the friendship of Twitter users and its effects on Twitter usage. According to our analysis, although the number of offline friends is smaller than that of online friends, a user more actively responds to the microblogs posted by the offline friends. We expect that our analysis is helpful to model a user's social behaviour and interest.
引用
收藏
页码:1 / 2
页数:2
相关论文
共 2 条
[1]  
Chen JG, 2011, ADV INTEL SOFT COMPU, V124, P217
[2]  
Han J., 2010, ADJ P 8 INT C PERV C, P5