Article

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

Authors:

Pablo Rodriguez,

Sue MoonAuthors Info & Claims

IMC '07: Proceedings of the 7th ACM SIGCOMM conference on Internet measurement

Pages 1 - 14

https://doi.org/10.1145/1298306.1298309

Published: 24 October 2007 Publication History

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 are 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.

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Cited By

Narasimha DKalathil DShakkottai S(2025)Meta-Learning for Fast Adaption in Caching NetworksIEEE Transactions on Networking10.1109/TNET.2024.347885333:1(65-77)Online publication date: Feb-2025
https://doi.org/10.1109/TNET.2024.3478853
Park SPark SYou TYun J(2025)Social links vs. language barriers: decoding the global spread of streaming contentHumanities and Social Sciences Communications10.1057/s41599-025-04400-212:1Online publication date: 23-Jan-2025
https://doi.org/10.1057/s41599-025-04400-2
Karaduman AÖzdemir M(2024)NÜFUZ PAZARLAMASI KAPSAMINDA SOSYAL MEDYA REKLAMLARINA YÖNELİK TÜKETİCİ İNANÇLARININ TUTUM VE SATIN ALMA NİYETİ ÜZERİNE ETKİLERİGiresun Üniversitesi İktisadi ve İdari Bilimler Dergisi10.46849/guiibd.140112710:1(32-56)Online publication date: 30-Jun-2024
https://doi.org/10.46849/guiibd.1401127
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Index Terms

I tube, you tube, everybody tubes: analyzing the world's largest user generated content video system
1. Hardware
  1. Communication hardware, interfaces and storage
2. Networks

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Published In

cover image ACM Conferences

IMC '07: Proceedings of the 7th ACM SIGCOMM conference on Internet measurement

October 2007

390 pages

ISBN:9781595939081

DOI:10.1145/1298306

Program Chairs:
Constantine Dovrolis
Georgia Institute of Technology
,
Matthew Roughan
University of Adelaide, Australia

Copyright © 2007 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Publication History

Published: 24 October 2007

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October 24 - 26, 2007

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Overall Acceptance Rate 277 of 1,083 submissions, 26%

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Cited By

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https://doi.org/10.1109/TNET.2024.3478853
Park SPark SYou TYun J(2025)Social links vs. language barriers: decoding the global spread of streaming contentHumanities and Social Sciences Communications10.1057/s41599-025-04400-212:1Online publication date: 23-Jan-2025
https://doi.org/10.1057/s41599-025-04400-2
Karaduman AÖzdemir M(2024)NÜFUZ PAZARLAMASI KAPSAMINDA SOSYAL MEDYA REKLAMLARINA YÖNELİK TÜKETİCİ İNANÇLARININ TUTUM VE SATIN ALMA NİYETİ ÜZERİNE ETKİLERİGiresun Üniversitesi İktisadi ve İdari Bilimler Dergisi10.46849/guiibd.140112710:1(32-56)Online publication date: 30-Jun-2024
https://doi.org/10.46849/guiibd.1401127
Gilliotte Q(2024)Identifier et cartographier les producteurs d’analyses politiques sur YouTubeRESET10.4000/12cn713Online publication date: 2024
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Babbar GAnand AAggrawal N(2024)Modelling & Analyzing View Growth Pattern of YouTube Videos inculcating the impact of Subscribers, Word of Mouth and Recommendation SystemsInternational Journal of Mathematical, Engineering and Management Sciences10.33889/IJMEMS.2024.9.3.0239:3(435-450)Online publication date: 1-Jun-2024
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