Predicting the Speed, Scale, and Range of Information Diffusion in Twitter

Authors

  • Jiang Yang University of Michigan
  • Scott Counts Microsoft Research

Keywords:

Microblogging, Twitter, Social Network Analysis, information diffusion

Abstract

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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Published

2010-05-16

How to Cite

Yang, J., & Counts, S. (2010). Predicting the Speed, Scale, and Range of Information Diffusion in Twitter. Proceedings of the International AAAI Conference on Web and Social Media, 4(1), 355-358. Retrieved from https://ojs.aaai.org/index.php/ICWSM/article/view/14039