Predicting the implicit and the explicit video popularity in a User Generated Content site with enhanced social features

To this end, we conduct an extensive measurement and analysis of BiliBili, a YouTube-like UGC site with enhanced social features including user following, chat replay, and virtual money donation. Based on datasets that contain over 2 million videos and over 28 million users, we characterize the video repository and the user activities, we analyze the video popularities, we propose graph models that reveal user relationships and high-level social structures, and we successfully apply our findings to build machine-learned classifiers to identify popular videos.