Predicting the Speed, Scale, and Range of Information Diffusion in Twitter
We present results of network analyses of information diffusion on Twitter, via users â ongoing social interactions as denoted by â@username â 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.