Composite Social Network for Predicting Mobile Apps Installation

Proceedings of the 25th AAAI Conference on Artificial Intelligence, AAAI 2011

Volumn , Issue , 2011, Pages 821-827

  Pan, Wei ^a   Aharony, Nadav ^a   Pentland, Alex ^a  

^a MIT MEDIA LAB   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ARTIFICIAL INTELLIGENCE; COMMERCE; MARKETING; SMARTPHONES; SOCIAL NETWORKING (ONLINE);

ANDROID SMART PHONES; BUILT-IN SENSORS; MARKET-MAKER; MARKETING RESEARCH; MOBILE APP; MOBILE APPLICATIONS; NETWORK CALLS; PROXIMITY NETWORKS; SMART PHONES; UNIVERSITY GRADUATES;

FORECASTING;

EID: 85123920856     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (22)

1. Aral, S.; Muchnik, L.; and Sundararajan, A. 2009. Distinguishing influence-based contagion from homophily-driven diffusion in dynamic networks. Proceedings of the National Academy of Sciences 106(51):21544.
2. Boyd, S., and Vandenberghe, L. 2004. Convex optimization. Cambridge Univ Pr.
3. Centola, D. 2010. The Spread of Behavior in an Online Social Network Experiment. science 329(5996):1194.
4. Chang, C.-C., and Lin, C.-J. 2001. LIBSVM: a library for support vector machines. Software available at http://www.csie.ntu.edu.tw/~cjlin/libsvm.
5. Christakis, N., and Fowler, J. 2007. The spread of obesity in a large social network over 32 years. New England Journal of Medicine 357(4):370.
6. Colizza, V.; Barrat, A.; Barthelemy, M.; Valleron, A.; and Vespignani, A. 2007. Modeling the worldwide spread of pandemic influenza: Baseline case and containment interventions. PLoS Medicine 4(1):95.
7. Eagle, N., and Pentland, A. 2006. Reality mining: sensing complex social systems. Personal and Ubiquitous Computing 10(4):255-268.
8. Eagle, N.; Macy, M.; and Claxton, R. 2010. Network diversity and economic development. Science 328(5981):1029.
9. El-Yaniv, R.; Pechyony, D.; and Yom-Tov, E. 2008. Better multiclass classification via a margin-optimized single binary problem. Pattern Recognition Letters 29(14):1954-1959.
10. Ellison, S. 2010. Worldwide and U.S. Mobile Applications, Storefronts, and Developer 20102014 Forecast and Year-End 2010 Vendor Shares: The”Appification” of Everything.
11. Farrahi, K., and Gatica-Perez, D. 2010. Probabilistic Mining of Socio-Geographic Routines From Mobile Phone Data. Selected Topics in Signal Processing, IEEE Journal of 4(4):746-755.
12. Ganesh, A.; Massoulié, L.; and Towsley, D. 2005. The effect of network topology on the spread of epidemics. In INFO-COM 2005. 24th Annual Joint Conference of the IEEE Computer and Communications Societies. Proceedings IEEE, volume 2, 1455-1466. IEEE.
13. Goel, S.; Reeves, D.; Watts, D.; and Pennock, D. 2010. Prediction without markets. In Proceedings of the 11th ACM conference on Electronic commerce, 357-366. ACM.
14. Gomez Rodriguez, M.; Leskovec, J.; and Krause, A. 2010. Inferring networks of diffusion and influence. In Proceedings of the 16th ACM SIGKDD international conference on Knowledge discovery and data mining, 1019-1028. ACM.
15. Granovetter, M., and Soong, R. 1983. Threshold models of diffusion and collective behavior. The Journal of Mathematical Sociology 9(3):165-179.
16. Kempe, D.; Kleinberg, J.; and Tardos, É. 2003. Maximizing the spread of influence through a social network. In Proceedings of the ninth ACM SIGKDD international conference on Knowledge discovery and data mining, 137-146. ACM.
17. Leskovec, J.; Adamic, L.; and Huberman, B. 2007. The dynamics of viral marketing. ACM Transactions on the Web (TWEB) 1(1):5.
18. Manning, C.; Raghavan, P.; Schutze, H.; and Corporation, E. 2008. Introduction to information retrieval, volume 1. Cambridge University Press Cambridge, UK.
19. Myers, S., and Leskovec, J. 2010. On the convexity of latent social network inference. Arxiv preprint arXiv:1010.5504.
20. Richter, Y.; Yom-Tov, E.; and Slonim, N. 2010. Predicting customer churn in mobile networks through analysis of social groups. In Proceedings of the 2010 SIAM International Conference on Data Mining (SDM 2010).
21. Yang, J., and Leskovec, J. 2010. Modeling Information Diffusion in Implicit Networks.
22. Zhang, H., and Dantu, R. 2010. Discovery of Social Groups Using Call Detail Records. In On the Move to Meaningful Internet Systems: OTM 2008 Workshops, 489-498. Springer.