An approach to model and predict the popularity of online contents with explanatory factors

Proceedings - 2010 IEEE/WIC/ACM International Conference on Web Intelligence, WI 2010

Volumn 1, Issue , 2010, Pages 623-630

  Lee, Jong Gun ^a   Moon, Sue ^b   Salamatian, Kavé ^c  

^a SORBONNE UNIVERSITÉ   (France)

^b Korea Advanced Institute of Science and Technology (KAIST)   (South Korea)

^c UNIVERSITÉ DE SAVOIE   (France)

Author keywords

[No Author keywords available]

Indexed keywords

DATA SETS; DISCUSSION FORUM; EXTERNAL OBSERVER; ON-LINE CONTENTS; ONLINE DISCUSSIONS; ONLINE SOCIAL NETWORKINGS; PROPORTIONAL HAZARDS; REGRESSION MODEL; RISK FACTORS; SURVIVAL ANALYSIS; TWO-COMPONENT;

CAMERAS; DISTRIBUTION FUNCTIONS; FORECASTING; REGRESSION ANALYSIS;

SOCIAL NETWORKING (ONLINE);

EID: 78649863842     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/WI-IAT.2010.209     Document Type: Conference Paper

References (19)

1. M. Cha, A. Mislove, and K. P. Gummadi, "A measurement-driven analysis of information propagation in the flickr social network," in WWW '09: Proceedings of the 18th international conference on World wide web. New York, NY, USA: ACM, 2009, pp. 721-730.
2. G. Szabo and B. A. Huberman, "Predicting the popularity of online content," Social Science Research Network Working Paper Series, November 2008.
3. D. R. Cox, "Regression models and life-tables," Journal of the Royal Statistical Society. Series B (Methodological), vol. 34, no. 2, pp. 187-220, 1972.
4. W. Weibull, "A statistical distribution function of wide applicability," Journal of Applied Mechanics, pp. 293-297, 1951.
5. R. Schlittgen, "Survival analysis: State of the art," Computational Statistics and Data Analysis, vol. 20, no. 5, pp. 592-593, November 1995.
6. A. R. Feinstein, Principles of Medical Statistics. Chapman & Hall/CRC, September 2001.
7. D. G. Kleinbaum and M. Klein, Survival Analysis: A Self-Learning Text (Statistics for Biology and Health), 2nd ed. Springer, August 2005.
8. A. Diekmann, M. Jungbauer-Gans, H. Krassnig, and S. Lorenz, "Social status and aggression: a field study analyzed by survival analysis." J Soc Psychol, vol. 136, pp. 761-768, Dec 1996.
9. S. Selvin, Survival Analysis for Epidemiologic and Medical Research (Practical Guides to Biostatistics and Epidemiology), 1st ed. Cambridge University Press, March 2008.
10. J. Heckman and B. Singer, "The identifiability of the proportional hazard model," Review of Economic Studies, vol. 51, no. 2, pp. 231-41, April 1984.
11. P. B. Seetharaman and P. K. Chintagunta, "The proportional hazard model for purchase timing: A comparison of alternative specifications," Journal of Business & Economic Statistics, vol. 21, no. 3, pp. 368-82, July 2003.
12. T. M. Therneau, Modeling survival data: extending the Cox model, T. M. Therneau and P. M. Grambsch, Eds. New York, N.Y: Springer, 2000.
13. A. Kaltenbrunner, V. Gomez, and V. Lopez, "Description and prediction of slashdot activity," in LA-WEB '07: Proceedings of the 2007 Latin American Web Conference. Washington, DC, USA: IEEE Computer Society, 2007, pp. 57-66.
14. A. Kaltenbrunner, V. Gómez, A. Moghnieh, R. Meza, J. Blat, and V. López, "Homogeneous temporal activity patterns in a large online communication space," in SAW, 2007.
15. G. Mishne, "Leave a reply: An analysis of weblog comments."
16. M. Hu, A. Sun, and E.-P. Lim, "Comments-oriented blog summarization by sentence extraction," in CIKM '07: Proceedings of the sixteenth ACM conference on Conference on information and knowledge management. New York, NY, USA: ACM, 2007, pp. 901-904.
17. B. Li, S. Xu, and J. Zhang, "Enhancing clustering blog documents by utilizing author/reader comments," in ACM-SE 45: Proceedings of the 45th annual southeast regional conference. New York, NY, USA: ACM, 2007, pp. 94-99.
18. N. Agarwal, H. Liu, L. Tang, and P. S. Yu, "Identifying the influential bloggers in a community," in WSDM '08: Proceedings of the international conference on Web search and web data mining. New York, NY, USA: ACM, 2008, pp. 207-218.
19. H. R. Salman Jamali, "Diggin digg: Comment mining, popularity prediction, and social network analysis," George Mason University, Tech. Rep. GMU-CS-TR-2009-7, July 2009.