Digging Digg : Comment Mining, Popularity Prediction, and Social Network Analysis
Source: George Mason University
Using comment information available from Digg the authors define a co-participation network between users. They focus on the analysis of this implicit network, and study the behavioral characteristics of users. Using an entropy measure, the authors infer that users at Digg are not highly focused and participate across a wide range of topics. The authors also use the comment data and social network derived features to predict the popularity of online content linked at Digg using a classification and regression framework.