On popularity prediction of videos shared in online social networks

International Conference on Information and Knowledge Management, Proceedings

Volumn , Issue , 2013, Pages 169-178

  Li, Haitao ^a   Ma, Xiaoqiang ^a   Wang, Feng ^b   Liu, Jiangchuan ^a   Xu, Ke ^c  

^a SIMON FRASER UNIVERSITY   (Canada)

^b UNIVERSITY OF MISSISSIPPI   (United States)

^c TSINGHUA UNIVERSITY   (China)

Author keywords

Popularity prediction; Propagation; Social network; Video sharing

Indexed keywords

ECONOMIC IMPORTANCE; LARGE-SCALE MEASUREMENT; ON-LINE SOCIAL NETWORKS; ONLINE SOCIAL NETWORKS (OSN); POPULARITY PREDICTIONS; PREDICTION MODEL; PROPAGATION PROCESS; VIDEO SHARING;

CRACK PROPAGATION; KNOWLEDGE MANAGEMENT; ONLINE SYSTEMS; SOCIAL NETWORKING (ONLINE); WAVE PROPAGATION;

FORECASTING;

EID: 84889571316     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/2505515.2505523     Document Type: Conference Paper

References (38)

1. E. Bakshy, I. Rosenn, C. Marlow, and L. Adamic. The role of social networks in information diffusion. In Proc. of WWW, 2012.
2. M. Cha, H. Kwak, P. Rodriguez, Y. Ahn, and S. B. Moon. I tube, you tube, everybody tubes: Analyzing the world's largest user generated content video system. In Proc. of IMC, 2007.
3. M. Cha, A. Mislove, and K. P. Gummadi. A measurement-driven analysis of information propagation in the flickr social network. In Proc. of WWW, 2009.
4. V. Chaoji, S. Ranu, R. Rastogi, and R. Bhatt. Recommendations to boost content spread in social networks. In Proc. of WWW, 2012.
5. X. Cheng, H. Li, and J. Liu. Video sharing propagation in social networks: Measurement, modeling, and analysis. In Proc. of INFOCOM mini-conference, 2013.
6. comScore. http://www.comscore.com/insights/press-releases/2012/8/ comscore-releases-july-2012-us-online-video-rankings.
7. R. Crane and D. Sornette. Viral, quality, and junk videos on youtube: Separating content from noise in an information-rich environment. In AAAI Spring Symposium, 2008.
8. W. Galuba, D. Chakraborty, K. Aberer, Z. Despotovic, and W. Kellerer. Outtweeting the twitterers - predicting information cascades in microblogs. In Proc. of WOSN, 2010.
9. G. Glzrsun, M. Crovella, and I. Matta. Describing and forecasting video access patterns. In Proc. of INFOCOM, 2011.
10. T. Hogg and K. Lerman. Stochastic models of user-contributory web sites. In Proc. of ICWSM, 2009.
11. L. Hong, O. Dan, and B. D. Davison. Predicting popular messages in twitter. In Proc. of WWW, 2011.
12. F. Kooti, W. A. Mason, K. P. Gummadi, and M. Cha. Predicting emerging social conventions in online social networks. In Proc. of CIKM, 2012.
13. J. G. Lee, S. Moon, and K. Salamatian. An approach to model and predict the popularity of online contents with explanatory factors. In Proc. of Web Intelligence, 2010.
14. K. Lerman and R. Ghosh. Information contagion: an empirical study of the spread of news on digg and twitter social networks. In Proc. of ICWSM, 2010.
15. K. Lerman and T. Hogg. Using a model of social dynamics to predict popularity of news. In Proc. of WWW, 2010.
16. H. Li, J. Liu, K. Xu, and S. Wen. Understanding video propagation in online social networks. In Proc. of IWQoS, 2012.
17. H. Li, H. Wang, J. Liu, and K. Xu. Video sharing in online social network: Measurement and analysis. In Proc. of NOSSDAV, 2012.
18. H. H. Liu, Y. Wang, Y. R. Yang, H. Wang, and C. Tian. Optimizing cost and performance for content multihoming. In Proc. of SIGCOMM, 2012.
19. S. A. Myers, C. Zhu, and J. Leskovec. Information diffusion and external influence in network. In Proc. of KDD, 2012.
20. A. Navot, L. Shpigelman, N. Tishby, and E. Vaadia. Nearest neighbor based feature selection for regression and its application to neural activity. In Proc. of NIPS, 2006.
21. D. Niu, Z. Liu, and B. Li. Demand forecast and performance prediction in peer-assisted on-demand streaming systems. In Proc. of INFOCOM, 2011.
22. H. Pinto, J. Almeida, and M. Goncalves. Using early view patterns to predict the popularity of youtube videos. In Proc. of WSDM, 2013.
23. J. L. Rodgers and W. A. Nicewander. Thirteen ways to look at the correlation coefficient. The American Statistician, 1988.
24. T. Rodrigues, F. Benvenuto, M. Cha, K. P. Gummadi, and V. Almeida. On word-of-mouth based discovery of the web. In Proc. of IMC, 2011.
25. M. Rowe. Forecasting audience increase on youtube. In Proc. of the International Workshop on User Profile Data on the Social Semantic Web, 2011.
26. D. A. Shamma, J. Yew, L. Kennedy, and E. F. Churchill. Viral action: Predicting video view counts using synchronous sharing behaviors. In Proc. of ICWSM, 2011.
27. S. Siersdorfer, S. Chelaru, and J. S. Pedro. How useful are your comments? analyzing and predicting youtube comments and comment ratings. In Proc. of WWW, 2010.
28. G. V. Steeg, R. Ghosh, and K. Lerman. What stops social epidemics? In Proc. of ICWSM, 2011.
29. E. Sun, I. Rosenn, C. Marlow, and T. Lento. Gesundheit! modeling contagion through facebook news feed. In Proc. of ICWSM, 2009.
30. G. Szabo and B. A. Huberman. Predicting the popularity of online content. Commun. ACM, 2010.
31. Z. Wang, L. Sun, X. Chen, W. Zhu, J. Liu, M. Chen, and S. Yang. Propagation-based social-aware replication for social video contents. In Proc. of A CM Multimedia, 2012.
32. Z. Wang, L. Sun, C. Wu, and S. Yang. Guiding internet-scale video service deployment using microblog-based prediction. In Proc. of ICWSM, 2012.
33. X. Wei, J. Yang, and L. A. Adamic. Diffusion dynamics of games on online social networks. In Proc. of WOSN, 2010.
34. T. Wu, M. Timmers, D. D. Vleeschauwer, and W. V. Leekwijck. On the use of reservoir computing in popularity prediction. In Proc. of ICCGI, 2010.
35. R. Yan, J. Tang, X. Liu, D. Shan, and X. Li. Citation count prediction: Learning to estimate future citations for literature. In Proc. of CIKM, 2011.
36. YouTube. http://www.youtube.com/t/press-statistics.
37. L. Zhang, T. Peng, Y. Zhang, and X. Wang. Content or context: Which carries more weight in predicting popularity of tweets in china. In Proc. of WAPOR, 2012.
38. R. Zhou, S. Khemmarat, and L. Gao. The impact of youtube recommendation system on video views. In Proc. of IMC, 2010.