TY - GEN
T1 - Understanding user generated content characteristics
T2 - A hot-event perspective
AU - Li, Guodong
AU - Wang, Miao
AU - Feng, Jie
AU - Xu, Lisong
AU - Ramamurthy, Byrav
AU - Li, Wei
AU - Guan, Xiaohong
PY - 2011
Y1 - 2011
N2 - 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 hot-event 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.
AB - 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 hot-event 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.
UR - https://www.scopus.com/pages/publications/80052177953
U2 - 10.1109/icc.2011.5963513
DO - 10.1109/icc.2011.5963513
M3 - 会议稿件
AN - SCOPUS:80052177953
SN - 9781612842332
T3 - IEEE International Conference on Communications
BT - 2011 IEEE International Conference on Communications, ICC 2011
PB - Institute of Electrical and Electronics Engineers Inc.
ER -