On the Real-time Prediction Problems of Bursting Hashtags in Twitter.
CoRR(2014)
摘要
Hundreds of thousands of hashtags are generated every day on Twitter. Only a few become bursting topics. Among the few, only some can be predicted in real-time. In this paper, we take the initiative to conduct a systematic study of a series of challenging real-time prediction problems of bursting hashtags. Which hashtags will become bursting? If they do, when will the burst happen? How long will they remain active? And how soon will they fade away? Based on empirical analysis of real data from Twitter, we provide insightful statistics to answer these questions, which span over the entire lifecycles of hashtags.
更多查看译文
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络