Paper Info
Title
Analyzing the Video Popularity Characteristics of Large-Scale User Generated Content Systems
Abstract
User generated content (UGC), now with millions of video producers and consumers, is reshaping the way people watch video and TV. In particular, UGC sites are creating new viewing patterns and social interactions, empowering users to be more creative, and generating new business opportunities. Compared to traditional video-on-demand (VoD) systems, UGC services allow users to request videos from a potentially unlimited selection in an asynchronous fashion. To better understand the impact of UGC services, we have analyzed the world's largest UGC VoD system, YouTube, and a popular similar system in Korea, Daum Videos. In this paper, we first empirically show how UGC services are fundamentally different from traditional VoD services. We then analyze the intrinsic statistical properties of UGC popularity distributions and discuss opportunities to leverage the latent demand for niche videos (or the so-called "the Long Tail" potential), which is not reached today due to information filtering or other system scarcity distortions. Based on traces collected across multiple days, we study the popularity lifetime of UGC videos and the relationship between requests and video age. Finally, we measure the level of content aliasing and illegal content in the system and show the problems aliasing creates in ranking the video popularity accurately. The results presented in this paper are crucial to understanding UGC VoD systems and may have major commercial and technical implications for site administrators and content owners.
Year
DOI
Venue
2009
10.1109/TNET.2008.2011358
IEEE/ACM Transactions on Networking
Keywords
DocType
Volume
Large-scale systems,User-generated content,Watches,TV,Business,YouTube,Information analysis,Probability distribution,Information filtering,Distortion measurement
Journal
17
Issue
ISSN
Citations 
5
1063-6692
190
PageRank 
References 
Authors
7.52
13
5
Search Limit
100190
Name
Order
Citations
PageRank
Meeyoung Cha14391237.20
Haewoon Kwak24487267.95
Pablo Rodriguez33272221.07
Yong-Yeol Ahn42124138.24
Sue B. Moon56806485.52