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- W824962224 abstract "Previous chapter Next chapter Full AccessProceedings Proceedings of the 2013 SIAM International Conference on Data Mining (SDM)Retweeting: An Act of Viral Users, Susceptible Users, or Viral Topics?Tuan-Anh Hoang and Ee-Peng LimTuan-Anh Hoang and Ee-Peng Limpp.569 - 577Chapter DOI:https://doi.org/10.1137/1.9781611972832.63PDFBibTexSections ToolsAdd to favoritesExport CitationTrack CitationsEmail SectionsAboutAbstract When a user retweets, there are three behavioral factors that cause the actions. They are the topic virality, user virality and user susceptibility. Topic virality captures the degree to which a topic attracts retweets by users. For each topic, user virality and susceptibility refer to the likelihood that a user attracts retweets and performs retweeting respectively. To model a set of observed retweet data as a result of these three topic specific factors, we first represent the retweets as a three-dimensional tensor of the tweet authors, their followers, and the tweets themselves. We then propose the V2S model, a tensor factorization model, to simultaneously derive the three sets of behavioral factors. Our experiments on a real Twitter data set show that the V2S model can effectively mine the behavioral factors of users and tweet topics during an election event. We also demonstrate that the V2S model outperforms the other topic based models in retweet prediction. Previous chapter Next chapter RelatedDetails Published:2013ISBN:978-1-61197-262-7eISBN:978-1-61197-283-2 https://doi.org/10.1137/1.9781611972832Book Series Name:ProceedingsBook Code:PRDT13Book Pages:1-804" @default.
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- W824962224 date "2013-05-02" @default.
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- W824962224 title "Retweeting: An Act of Viral Users, Susceptible Users, or Viral Topics?" @default.
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