SEISMIC: A Self-Exciting Point Process Model for Predicting Tweet Popularity - researchr publication authors

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Qingyuan Zhao, Murat A. Erdogdu, Hera Y. He, Anand Rajaraman, Jure Leskovec. SEISMIC: A Self-Exciting Point Process Model for Predicting Tweet Popularity. In Longbing Cao, Chengqi Zhang, Thorsten Joachims, Geoffrey I. Webb, Dragos D. Margineantu, Graham Williams, editors, Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Sydney, NSW, Australia, August 10-13, 2015. pages 1513-1522, ACM, 2015. [doi]

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