2Dealing with data. Science,2011,331(6018): 639-806.
3Holland J. Emergence: From Chaos to Order. RedwoodCity,California: Addison-Wesley? 1997.
4Anthony J G Hey. The Fourth Paradigm: Data-intensiveScientific Discovery. Microsoft Research, 2009.
5Phan X H, Nguyen L M,Horiguchi S. Learning to classifyshort and sparse text Web with hidden topics from large-scale data collections//Proceedings of the 17th InternationalConference on World Wide Web. Beijing, China,2008:91-100.
6Sahami M, Heilman T D. A web-based kernel function formeasuring the similarity of short text snippets//Proceedingsof the 15th International Conference on World Wide Web.Edinburgh, Scotland, 2006: 377-386.
7Efron M, Organisciak P,Fenlon K. Improving retrieval ofshort texts through document expansion//Proceedings of the35th International ACM SIGIR Conference on Research andDevelopment in Information Retrieval. Portland, OR, USA,2012: 911-920.
8Hong L,Ahmed A, Gurumurthy S,Smola A J, Tsioutsiou-liklis K. Discovering geographical topics in the twitterstream//Proceedings of the 21st International Conference onWorld Wide Web(WWW 2012). Lyon, France, 2012:769-778.
9Pozdnoukhov A,Kaiser C. Space-time dynamics of topics instreaming text//Proceedings of the 3rd ACM SIGSPATIALInternational Workshop on Location-Based Social Networks.Chicago-IL,USA, 2011: 1-8.
10Sun Yizhou,Norick Brandon, Han Jiawei, Yan Xifeng, YuPhilip S,Yu Xiao. Integrating meta-path selection with user-guided object clustering in heterogeneous information net-works/ /Proceedings of the 18th ACM SIGKDD InternationalConference on Knowledge Discovery and Data Mining.Beijing, China, 2012: 1348-1356.