Real-Time Predicting Bursting Hashtags on Twitter

被引：0
|
作者：
Kong, Shoubin [1 ]
Mei, Qiaozhu [2 ]
Feng, Ling [1 ]
Zhao, Zhe [2 ]
机构：
[1] Tsinghua Univ, Dept CS&T, Tsinghua Natl Lab Informat Sci & Technol, Beijing, Peoples R China
[2] Univ Michigan, Sch Informat, Ann Arbor, MI 48109 USA
来源：
WEB-AGE INFORMATION MANAGEMENT, WAIM 2014 | 2014年 / 8485卷
基金：
中国国家自然科学基金;
关键词：
hashtag; burst; real-time prediction;
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
A large number of hashtags are generated every day on Twitter. Only a few hashtags can become bursting topics. It is quite challenging to predict such bursting hashtags in real-time. In this paper, we provide the first definition of a bursting hashtag, and propose a solution to the real-time prediction problem of bursting hashtags. The experimental results show that the proposed method outperforms other related methods.
引用
收藏
页码：268 / 271
页数：4
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