Stochastic Models of User-Contributory Web Sites

Authors

  • Tad Hogg HP Labs
  • Kristina Lerman USC Information Sciences Institute

Keywords:

user behavior, Digg, stochastic model

Abstract

We describe a general stochastic processes-based approach to modeling user-contributory web sites, where users create, rate and share content. These models describe aggregate measures of activity and how they arise from simple models of individual users. This approach provides a tractable method to understand user activity on the web site and how this activity depends on web site design choices, especially the choice of what information about other users' behaviors is shown to each user. We illustrate this modeling approach in the context of user-created content on the news rating site Digg.

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Published

2009-03-19

How to Cite

Hogg, T., & Lerman, K. (2009). Stochastic Models of User-Contributory Web Sites. Proceedings of the International AAAI Conference on Web and Social Media, 3(1), 50-57. Retrieved from https://ojs.aaai.org/index.php/ICWSM/article/view/13939