Collective attention and the dynamics of group deals

WWW'12 - Proceedings of the 21st Annual Conference on World Wide Web Companion

Volumn , Issue , 2012, Pages 1205-1212

  Ye, Mao ^a,c   Sandholm, Thomas ^a   Wang, Chunyan ^b   Aperjis, Christina ^a   Huberman, Bernardo A ^a  

^a HEWLETT PACKARD LABORATORIES   (United States)

^b STANFORD UNIVERSITY   (United States)

^c PENNSYLVANIA STATE UNIVERSITY   (United States)

Author keywords

Collective attention; Group deals; Purchase dynamics

Indexed keywords

BUYING BEHAVIOR; COLLECTIVE ATTENTION; FUNCTION OF TIME; GROUP DEALS; LARGE DATASETS;

DYNAMICS; SALES;

WORLD WIDE WEB;

EID: 84861040388     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/2187980.2188262     Document Type: Conference Paper

References (18)

1. A. Arabshahi. Undressing Groupon: An analysis of the Groupon business model, December 2010. Available at http://www.ahmadalia.com.
2. S. Asur, B. A. Huberman, G. Szabó, and C. Wang. Trends in social media : Persistence and decay. CoRR, abs/1102.1402, 2011.
3. E. Bakshy, B. Karrer, and L. A. Adamic. Social influence and the diffusion of user-created content. In ACM Conference on Electronic Commerce, pages 325-334, 2009.
4. J. W. Byers, M. Mitzenmacher, M. Potamias, and G. Zervas. A month in the life of Groupon. CoRR, abs/1105.0903, 2011.
5. J. W. Byers, M. Mitzenmacher, M. Potamias, and G. Zervas. Daily deals: Prediction, social diffusion, and reputation ramifications. CoRR, abs/1105.0903, 2011.
6. R. Colbaugh and K. Glass. Early warning analysis for social diffusion events. In ISI, pages 37-42, 2010.
7. U. M. Dholakia. How effective are Groupon promotions for businesses? September 28, 2010. Available at http://ssrn.com/abstract=1696327.
8. P. DiMaggio and H. Louch. Socially embedded consumer transactions: For what kinds of purchases do people most often use networks? American Sociological Review, 63:619-637, 1998.
9. M. Grabchak, N. L. Bhamidipati, R. Bhatt, and D. Garg. Adaptive policies for selecting Groupon style chunked reward ads in a stochastic knapsack framework. In Proceedings of 20th International World Wide Web Conference (WWW), 2011.
10. S. Guo, M. Wang, and J. Leskovec. The role of social networks in online shopping: Information passing, price of trust, and consumer choice. In ACM Conference on Electronic Commerce (EC), 2011.
11. JiWire. JiWire Mobile Audience Insights Report Q1 2011, 2011. Available at http://www.jiwire.com/insights.
12. K. Lerman and A. Galstyan. Analysis of social voting patterns on Digg. In ACM SIGCOMM Workshop on Online Social Networks, 2008.
13. K. Lerman and R. Ghosh. Information contagion: An empirical study of spread of news on Digg and Twitter social networks. In Proceedings of 4th International Conference on Weblogs and Social Media (ICWSM), May 2010.
14. K. Lerman and T. Hogg. Using a model of social dynamics to predict popularity of news. In Proceedings of 19th International World Wide Web Conference (WWW), 2010.
15. K. Lerman and T. Hogg. Using stochastic models to describe and predict social dynamics of web users. to appear in ACM Transactions on Intelligent Systems and Technology, 2011.
16. J. Leskovec, L. A. Adamic, and B. A. Huberman. The dynamics of viral marketing. ACM Transactions on the Web, 1(1), 2007.
17. G. Szabó and B. A. Huberman. Predicting the popularity of online content. Commun. ACM, 53(8):80-88, 2010.
18. F. Wu and B. A. Huberman. Novelty and collective attention. PNAS, 104(45), 2007.