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Understanding User Generated Content Characteristics : A Hot-Event Perspective
CSE Conference and Workshop Papers
  • Miao Wang, University of Nebraska-Lincoln
  • Guodong Li, Xi'an Jiaotong University
  • Jie Feng, University of Nebraska-Lincoln
  • Lisong Xu, University of Nebraska-Lincoln
  • Byrav Ramamurthy, University of Nebraska-Lincoln
  • Wei Li, Xi'an Jiaotong University
  • Xiaohong Guan, Xi'an Jiaotong University
Date of this Version

Paper accepted to IEEE ICC 2011.

Nowadays, millions of Internet users watch and upload a large number of videos on User Generated Content (UGC) sites (e.g., Youtube) everyday. Moreover, online videos about hot events, such as breaking news and Olympic games, attract lots of users. In this paper, we study the characteristics of hot-event videos by collecting video traces of the largest UGC site in China for 28 days. We first empirically study statistical properties of such videos and find that hot-event videos contribute a large number of views, even though the total number of hotevent videos is relatively small. In addition, there exist extremely active uploaders and top 10% active uploaders upload over 60% videos. The video popularity demonstrates high skewness, where top 5% the most popular videos contribute over 80% views. Finally, we analyze the popularity evolution of hot-event videos using the consecutive 28-day video traces. The popularity of the studied videos decays very fast and most of these videos remain popular for only a week. Our findings reflect the most recent developments of UGC sites, which provide technical and commercial insights for engineers and UGC site owners.
Citation Information
Miao Wang, Guodong Li, Jie Feng, Lisong Xu, et al.. "Understanding User Generated Content Characteristics : A Hot-Event Perspective" (2011)
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