AAAI Publications, Fourth International AAAI Conference on Weblogs and Social Media

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Social Dynamics of Digg
Tad Hogg, Kristina Lerman

Last modified: 2010-05-16


Online social media often highlight content that is highly rated by neighbors in a social network. For the news aggregator Digg, we use a stochastic model to distinguish the effect of the increased visibility from the network from how interesting content is to users. We find a wide range of interest, and distinguish stories primarily of interest to users in the network from those of more general interest to the user community. This distinction helps predict a story's eventual popularity from users' early reactions to the story.


social media; Digg; statistical model

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