Stochastic Models of User-Contributory Web Sites
Computers and Society
2009-10-06 v1 Information Retrieval
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.
Cite
@article{arxiv.0904.0016,
title = {Stochastic Models of User-Contributory Web Sites},
author = {Tad Hogg and Kristina Lerman},
journal= {arXiv preprint arXiv:0904.0016},
year = {2009}
}