Conference Proceeding Article
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 V 2S 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 V 2S model can effectively mine the behavioral factors of users and tweet topics during an election event. We also demonstrate that the V 2S model outperforms the other topic based models in retweet prediction.
Databases and Information Systems | Numerical Analysis and Scientific Computing | Social Media
Data Management and Analytics
Proceedings of the 2013 SIAM International Conference on Data Mining: May 2-4, Austin, Texas
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HOANG, Tuan-Anh and LIM, Ee Peng.
Retweeting: An Act of Viral Users, Susceptible Users, or Viral Topics?. (2013). Proceedings of the 2013 SIAM International Conference on Data Mining: May 2-4, Austin, Texas. 569-577. Research Collection School Of Information Systems.
Available at: http://ink.library.smu.edu.sg/sis_research/1965
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