2Meeder, Karrer, et al., "We Know Who You Followed Last Sumer: Inferring Social Link CreationTimes In Twitter", In Prec. W~. (Hyderabad, India, March 28 April I, 2011).
3Sriram, Fuhry, et al., "Short text classification in twit- ter to improve information filtering", In Proc. SIGIR. (Geneva, Switzerland, July 19 23, 2010).
3A.K. JAIN, M.N. MURTY, P.J. FLYNN. Data Clustering: A Review[J]. ACM Computing Surveys, September 1999, 31(3).
4Wang L, Jia Y, Han W H. Instance message clustering based on extended vector space model[EB/OL]. Proceedings of 2^nd Iternational Symposium on Intelligence Computation and Applications. Wuhan, China: Springer, 2007: 435-443.
5He H, Chen B, Xu W R, Guo J. Short text feature extraction and clustering for web topic mining [EB/ OL]. Proceeding of the 3^rd International Conference on Semantics, Knowledge and Grid. Washington D. C. , USA: IEEE, 2007: 382-385.
7HARTIGAN, J. and WONG, M. Algorithm AS136: A k-means clustering algorithm[J]. Applied Statistics, 1979,28: 100-108.
8Horatiu Mocian. Survey of Distributed Clustering Techniques[EB/OL]. 1^st term ISO report, 2009.
9M. E. J. Newman. Power laws, Pareto distributions and Zipf's law [J]. Contemporary Physics, 2005,46 (5):323-351.
10HuM, Liu B. Mining opinion features in customer reviews[ C]. In: Proceedings ofNineteeth NationalCon- ference on Artificial In - tellgience ( AAAI - 2004 ). San Jose, USA :2004,756 - 758.
