Twitter User Rank Using Keyword Search

被引：12
|
作者：
Noro, Tomoya [1 ]
Ru, Fei [1 ]
Xiao, Feng [1 ]
Tokuda, Takehiro [1 ]
机构：
[1] Tokyo Inst Technol, Dept Comp Sci, Tokyo, Japan
来源：
INFORMATION MODELLING AND KNOWLEDGE BASES XXIV | 2013年 / 251卷
关键词：
Social Network Analysis; Twitter; Microblog; Keyword Search; Power Iteration Algorithm;
D O I：
10.3233/978-1-61499-177-9-31
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
Twitter has attracted attention recently as a new way of collecting, providing and sharing information on the Internet. However, it is difficult for us to find Twitter users to follow for getting valuable information related to a topic of interest. In this paper, we propose a method for ranking Twitter users using the Twitter keyword search. This method utilizes tweet relation among Twitter users and tweets (retweet and reply) as well as tweet count of each Twitter user. Experimental results show our method outperforms methods using only tweet count, tweet relation, or follow relation.
引用
收藏
页码：31 / 48
页数：18
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