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Predicting the popularity of online content

Published:01 August 2010Publication History
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Abstract

Early patterns of Digg diggs and YouTube views reflect long-term user interest.

References

  1. Alexa Web Information service; http://www.alexa.comGoogle ScholarGoogle Scholar
  2. Cha, M., Kwak, H., Rodriguez, P., Ahn, Y.-Y., and Moon, S. I tube, you tube, everybody tubes: analyzing the world's largest user-generated content video system. In Proceedings of the Seventh ACM SIGCOMM Conference on Internet Measurement (San Diego, Oct. 24--26). ACM Press, New York, 2007, 1--14. Google ScholarGoogle ScholarDigital LibraryDigital Library
  3. Cheng, X., Dale, C., and Liu, J. Statistics and social network of YouTube videos. In Proceedings of the 16th International Workshop on Quality of Service (Enschede, The Netherlands, June 2--4, 2008), 229--238.Google ScholarGoogle ScholarCross RefCross Ref
  4. Digg API; http://digg.com/api/docs/overviewGoogle ScholarGoogle Scholar
  5. Feller. W. An Introduction to Probability Theory and Its Applications, Vol. 1. John Wiley & Sons, Inc., New York, 1968.Google ScholarGoogle Scholar
  6. Gill, P., Arlitt, M., Li, Z., and Mahanti, A. YouTube traffic characterization: A view from the edge. In Proceedings of the Seventh ACM SIGCOMM Conference on Internet Measurement (San Diego, Oct. 24--26). ACM Press, New York, 2007, 15--28. Google ScholarGoogle ScholarDigital LibraryDigital Library
  7. Lerman, K. Social information processing in news aggregation. IEEE Internet Computing (Special Issue on Social Search) 11, 6 (Nov. 2007), 16--28. Google ScholarGoogle ScholarDigital LibraryDigital Library
  8. Richardson, M., Dominowska, E., and Ragno, R. Predicting clicks: Estimating the click-through rate for new ads. In Proceedings of the 16th International Conference on the World Wide Web (Banff, Alberta, Canada, May 8--12). ACM Press, New York, 2007, 521--530. Google ScholarGoogle ScholarDigital LibraryDigital Library
  9. Wu, F. and Huberman, B.A. Novelty and collective attention. Proceedings of the National Academy of Sciences 104, 45 (Nov. 2007).Google ScholarGoogle ScholarCross RefCross Ref
  10. YouTube API; http://code.google.com/apis/youtube/overview.htmlGoogle ScholarGoogle Scholar

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                      cover image Communications of the ACM
                      Communications of the ACM  Volume 53, Issue 8
                      August 2010
                      136 pages
                      ISSN:0001-0782
                      EISSN:1557-7317
                      DOI:10.1145/1787234
                      Issue’s Table of Contents

                      Copyright © 2010 ACM

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                      Publication History

                      • Published: 1 August 2010

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