Proceedings of the 20th international conference on World wide web
What's in a hashtag?: content based prediction of the spread of ideas in microblogging communities
Proceedings of the fifth ACM international conference on Web search and data mining
Dynamical classes of collective attention in twitter
Proceedings of the 21st international conference on World Wide Web
On predicting Twitter trend: factors and models
Proceedings of the 2013 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining
Tweeting under pressure: analyzing trending topics and evolving word choice on sina weibo
Proceedings of the first ACM conference on Online social networks
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Hashtags are widely used in Twitter to define a shared context for events or topics. In this paper, we aim to predict hashtag popularity in near future (i.e., next day). Given a hashtag that has the potential to be popular in the next day, we construct a hashtag profile using the tweets containing the hashtag, and extract both content and context features for hashtag popularity prediction. We model this prediction problem as a classification problem and evaluate the effectiveness of the extracted features and classification models.