Difference between revisions of "Class Meeting for 10-802 10/25/2012"
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* Matsuo, Y., and H. Yamamoto. 2009. Community gravity: measuring bidirectional effects by trust and rating on online social networks. * In Proceedings of the 18th international conference on World wide web, 751–760. | * Matsuo, Y., and H. Yamamoto. 2009. Community gravity: measuring bidirectional effects by trust and rating on online social networks. * In Proceedings of the 18th international conference on World wide web, 751–760. | ||
* [[ Sun, E., I. Rosenn, C. A Marlow, and T. M Lento. Gesundheit! Modeling Contagion through Facebook News Feed. Proc. ICWSM 9. ]] | * [[ Sun, E., I. Rosenn, C. A Marlow, and T. M Lento. Gesundheit! Modeling Contagion through Facebook News Feed. Proc. ICWSM 9. ]] | ||
| − | * Cosley, D., D. Huttenlocher, J. Kleinberg, X. Lan, and S. Suri. 2010. Sequential Influence Models in Social Networks. | + | * [[Cosley, D., D. Huttenlocher, J. Kleinberg, X. Lan, and S. Suri. 2010. Sequential Influence Models in Social Networks.]] |
* [[Gomez Rodriguez, M., J. Leskovec, and A. Krause. 2010. Inferring networks of diffusion and influence. In Proceedings of the 16th ACM SIGKDD international conference on Knowledge discovery and data mining, 1019–1028.]] | * [[Gomez Rodriguez, M., J. Leskovec, and A. Krause. 2010. Inferring networks of diffusion and influence. In Proceedings of the 16th ACM SIGKDD international conference on Knowledge discovery and data mining, 1019–1028.]] | ||
* Lerman, K., and T. Hogg. 2010. Using a model of social dynamics to predict popularity of news. In Proceedings of the 19th international conference on World wide web, 621–630. | * Lerman, K., and T. Hogg. 2010. Using a model of social dynamics to predict popularity of news. In Proceedings of the 19th international conference on World wide web, 621–630. | ||
Revision as of 00:55, 2 October 2012
This is one of the class meetings on the schedule for the course Social Media Analysis 10-802 in Fall 2012.
Overview
Readings
- Easley and Kleinberg, Chapters 16 & 17.
- Richardson, M., and P. Domingos. 2002. Mining knowledge-sharing sites for viral marketing. In Proceedings of the Eighth ACM SIGKDD international Conference on Knowledge Discovery and Data Mining (KDD-2002)
- Domingos, P. and M. Richardson. 2001. Mining the Network Value of Customers. n Proceedings of the Seventh ACM SIGKDD international Conference on Knowledge Discovery and Data Mining (KDD-2001).
Papers You Might Review
- Watts et al, Web-Based Experiments for the Study of Collective Social Dynamics in Cultural Markets | Yahoo! Research. http://research.yahoo.com/pub/2844.
- Cha, M., A. Mislove, and K. P Gummadi. 2009. A measurement-driven analysis of information propagation in the Flickr social network. In Proceedings of the 18th international conference on World wide web, 721–730.
- Dietz, L., S. Bickel, and T. Scheffer. 2007. Unsupervised prediction of citation influences. In Proceedings of the 24th international conference on Machine learning, 233–240.
- G\ötz, M., J. Leskovec, M. McGlohon, and C. Faloutsos. 2009. Modeling blog dynamics. In AAAI Conference on Weblogs and Social Media (ICWSM).
- Leskovec, J., L. Backstrom, and J. Kleinberg. 2009. Meme-tracking and the Dynamics of the News Cycle. In Proceedings of the 15th ACM SIGKDD international conference on Knowledge discovery and data mining, 497–506.
- Leskovec, Jure, Lada A. Adamic, and Bernardo A. Huberman. 2007. The dynamics of viral marketing. ACM Transactions on the Web 1, no. 1 (5): 5-es. doi:10.1145/1232722.1232727.
- Matsuo, Y., and H. Yamamoto. 2009. Community gravity: measuring bidirectional effects by trust and rating on online social networks. * In Proceedings of the 18th international conference on World wide web, 751–760.
- Sun, E., I. Rosenn, C. A Marlow, and T. M Lento. Gesundheit! Modeling Contagion through Facebook News Feed. Proc. ICWSM 9.
- Cosley, D., D. Huttenlocher, J. Kleinberg, X. Lan, and S. Suri. 2010. Sequential Influence Models in Social Networks.
- Gomez Rodriguez, M., J. Leskovec, and A. Krause. 2010. Inferring networks of diffusion and influence. In Proceedings of the 16th ACM SIGKDD international conference on Knowledge discovery and data mining, 1019–1028.
- Lerman, K., and T. Hogg. 2010. Using a model of social dynamics to predict popularity of news. In Proceedings of the 19th international conference on World wide web, 621–630.
