I tube, you tube, everybody tubes: Analyzing the world's largest user generated content video system

Meeyoung Cha, Haewoon Kwak, Pablo Rodriguez, Yong Yeol Ahnt, Sue Moon

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1025 Citations (Scopus)

Abstract

User Generated Content (UGC) is re-shaping the way people watch video and TV, with millions of video producers and consumers. In particular, UGC sites are creating new viewing patterns and social interactions, empowering users to be more creative, and developing new business opportunities. To better understand the impact of UGC systems, we have analyzed YouTube, the world's largest UGC VoD system. Based on a large amount of data collected, we provide an in-depth study of YouTube and other similar UGC systems. In particular, we study the popularity life-cycle of videos, the intrinsic statistical properties of requests and their relationship with video age, and the level of content aliasing or of illegal content in the system. We also provide insights on the potential for more efficient UGC VoD systems (e.g. utilizing P2P techniques or making better use of caching). Finally, we discuss the opportunities to leverage the latent demand for niche videos that a,re not reached today due to information filtering effects or other system scarcity distortions. Overall, we believe that the results presented in this paper are crucial in understanding UGC systems and can provide valuable information to ISPs, site administrators, and content owners with major commercial and technical implications.

Original languageEnglish
Title of host publicationProceedings of the ACM SIGCOMM Internet Measurement Conference, IMC
Pages1-14
Number of pages14
DOIs
Publication statusPublished - 1 Dec 2007
Externally publishedYes
EventIMC'07: 2007 7th ACM SIGCOMM Internet Measurement Conference - San Diego, CA, United States
Duration: 24 Oct 200726 Oct 2007

Other

OtherIMC'07: 2007 7th ACM SIGCOMM Internet Measurement Conference
CountryUnited States
CitySan Diego, CA
Period24/10/0726/10/07

Fingerprint

Information filtering
Life cycle
Industry

Keywords

  • Caching
  • Content aliasing
  • Long tail
  • P2P
  • Popularity analysis
  • Power-law
  • User generated content
  • VoD

ASJC Scopus subject areas

  • Engineering(all)

Cite this

Cha, M., Kwak, H., Rodriguez, P., Ahnt, Y. Y., & Moon, S. (2007). I tube, you tube, everybody tubes: Analyzing the world's largest user generated content video system. In Proceedings of the ACM SIGCOMM Internet Measurement Conference, IMC (pp. 1-14) https://doi.org/10.1145/1298306.1298309

I tube, you tube, everybody tubes : Analyzing the world's largest user generated content video system. / Cha, Meeyoung; Kwak, Haewoon; Rodriguez, Pablo; Ahnt, Yong Yeol; Moon, Sue.

Proceedings of the ACM SIGCOMM Internet Measurement Conference, IMC. 2007. p. 1-14.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Cha, M, Kwak, H, Rodriguez, P, Ahnt, YY & Moon, S 2007, I tube, you tube, everybody tubes: Analyzing the world's largest user generated content video system. in Proceedings of the ACM SIGCOMM Internet Measurement Conference, IMC. pp. 1-14, IMC'07: 2007 7th ACM SIGCOMM Internet Measurement Conference, San Diego, CA, United States, 24/10/07. https://doi.org/10.1145/1298306.1298309
Cha M, Kwak H, Rodriguez P, Ahnt YY, Moon S. I tube, you tube, everybody tubes: Analyzing the world's largest user generated content video system. In Proceedings of the ACM SIGCOMM Internet Measurement Conference, IMC. 2007. p. 1-14 https://doi.org/10.1145/1298306.1298309
Cha, Meeyoung ; Kwak, Haewoon ; Rodriguez, Pablo ; Ahnt, Yong Yeol ; Moon, Sue. / I tube, you tube, everybody tubes : Analyzing the world's largest user generated content video system. Proceedings of the ACM SIGCOMM Internet Measurement Conference, IMC. 2007. pp. 1-14
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