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Digging Digg: Comment Mining, Popularity Prediction, and Social Network Analysis

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2 Author(s)
Salman Jamali ; Dept. of Comput. Sci. & Eng., George Mason Univ., Fairfax, VA, USA ; Huzefa Rangwala

Using comment information available from Digg we define a co-participation network between users. We focus on the analysis of this implicit network, and study the behavioral characteristics of users. Using an entropy measure, we infer that users at Digg are not highly focused and participate across a wide range of topics. We 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. We show promising results for predicting the popularity scores even after limiting our feature extraction to the first few hours of comment activity that follows a Digg submission.

Published in:

Web Information Systems and Mining, 2009. WISM 2009. International Conference on

Date of Conference:

7-8 Nov. 2009