AAAI Publications, Fourth International AAAI Conference on Weblogs and Social Media

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Predicting the Speed, Scale, and Range of Information Diffusion in Twitter
Jiang Yang, Scott Counts

Last modified: 2010-05-16


We present results of network analyses of information diffusion on Twitter, via users’ ongoing social interactions as denoted by “@username” mentions. Incorporating survival analysis, we constructed a novel model to capture the three major properties of information diffusion: speed, scale, and range. On the whole, we find that some properties of the tweets themselves predict greater information propagation but that properties of the users, the rate with which a user is mentioned historically in particular, are equal or stronger predictors. Implications for end users and system designers are discussed.

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