Abstract
Early patterns of Digg diggs and YouTube views reflect long-term user interest.
- Alexa Web Information service; http://www.alexa.comGoogle Scholar
- 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 ScholarDigital Library
- 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 ScholarCross Ref
- Digg API; http://digg.com/api/docs/overviewGoogle Scholar
- Feller. W. An Introduction to Probability Theory and Its Applications, Vol. 1. John Wiley & Sons, Inc., New York, 1968.Google Scholar
- 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 ScholarDigital Library
- Lerman, K. Social information processing in news aggregation. IEEE Internet Computing (Special Issue on Social Search) 11, 6 (Nov. 2007), 16--28. Google ScholarDigital Library
- 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 ScholarDigital Library
- Wu, F. and Huberman, B.A. Novelty and collective attention. Proceedings of the National Academy of Sciences 104, 45 (Nov. 2007).Google ScholarCross Ref
- YouTube API; http://code.google.com/apis/youtube/overview.htmlGoogle Scholar
Index Terms
- Predicting the popularity of online content
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