Social Dynamics of Digg

Details Social Dynamics of Digg Social Dynamics of Digg

2012-01-31

arxiv.org/abs/1202.0031v1

Computer Science

Computers and Society

arXiv admin note: text overlap with arXiv:1010.0237

Scientific paper

Online social media provide multiple ways to find interesting content. One important method is highlighting content recommended by user's friends. We examine this process on one such site, the news aggregator Digg. With a stochastic model of user behavior, we distinguish the effects of the content visibility and interestingness to users. We find a wide range of interest and distinguish stories primarily of interest to a users' friends from those of interest to the entire user community. We show how this model predicts a story's eventual popularity from users' early reactions to it, and estimate the prediction reliability. This modeling framework can help evaluate alternative design choices for displaying content on the site.

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