Event Popularity Prediction Using Influential Hashtags from Social Media (Extended Abstract)

Xi Chen, Xiangmin Zhou, Jeffrey Chan, Lei Chen, Timos Sellis, Yanchun Zhang

Abstract: Event popularity prediction over social media is crucial for estimating information propagation scope, decision making, and emergency prevention. It has been widely inves-tigated by existing approaches focusing on predicting single attribute occurrences which are not comprehensive enough for representing complex social event propagation. Motivated by this, we propose a novel hashtag-influence-based event popularity prediction by mining the impact of an influential hashtag set on the event propagation. We have conducted extensive experiments to prove the effectiveness and efficiency of the proposed approach.