References
- A. Java, X. Song, T. Finin, and B. Tseng, "Why We Twitter: An Analysis of a Microblogging Community," Proc. the 9th WebKDD and 1st SNAKDD 2007, LNCS 5439, pp. 118-138, 2009.
- TechCrunch, Available: http://techcrunch.com/2010/06/08/twitter-190-million-users
- C. Honeycutt and S. C. Herring, "Beyond Microblogging: Conversation and Collaboration via Twitter," Proc. the 42nd Hawaii International Conference on System Sciences 2009, IEEE Press, 2009.
- T. Sakaki, M. Okazaki, Y. Matsuo, "Earthquake Shake Twiiter Users: Real-time Event Detection by Social Sensors," Proc. WWW 2010, pp. 851-860, April, 2010.
- M. guy, P. Earle, C. Ostrum, K. Gruchalla, and S. Horvath, "Integration and Dissemination of Citizen Reported and Seismically Derived Earthquake Information via Social Network Technologies," Proc. IDA 2010, pp. 42-53, 2010.
- A. Hughes, L. Palen, "Twitter Adoption and Use in Mass Convergence and Emergency Events," Proc. the 2009 Information Systems for Crisis Response and Management Conference, 2009.
- Ye Tian et al. "Topic Detection and Organization of Mobile Text Messages," Proc. CIKM'10, pp.1877-1880, October, 2010.
- D. A. Shamma, L. Kennedy, and E. F. Churchill, "Peaks and Persistence: Modeling the Shape of Microblog Conversations," Proc. CSCW 2011, March, 2011.
- C. X. Lin, B. Zhao, Q. Mei, and J. Han, "PET: A Statistical Model for Popular Events Tracking in Social Communities," Proc. KDD'10, pp. 929-938, July, 2010.
- K. Kireyev, L. Palen, K. M. Anderson, "Application of Topics Models to Analysis of Disaster-Related Twitter Data," In NIPS Workshop on Applications for Topic Models: Text and Beyond, December, 2009.
- D. M. Blei, A. Y. Ng, and M. I. Jodan, " Latent Dirichlet Allocation," Journal of Machine Learning Research 3, pp. 993-1022, 2003.
- K. Sparck-Jones, "A Statistical Interpretation of Term Specificity and its Application in Retrieval," Journal of Documentaion, Vol. 28, No. 1, 1973.
- Long term average of tweet. Available: http://gigatweeter.com/analytics
- Trends on Twitter aggregator: Available: http://twopular.com
- Trends in Twitter: Available: http://trendistic.com
- Top 10 Twitter trends: Available: http://mashable.com
- Twitter API: Available: http://apiwiki.twitter.com
- Real time Twitter trends: Available:http://tweettabs.com
Cited by
- Document Classification Model Using Web Documents for Balancing Training Corpus Size per Category vol.11, pp.4, 2013, https://doi.org/10.6109/jicce.2013.11.4.268