Towards social data platform: Automatic topic-focused monitor for twitter stream

Proceedings of the VLDB Endowment

Volumn 6, Issue 14, 2013, Pages 1966-1977

  Li, Rui ^a   Wang, Shengjie ^a   Chang, Chen Chuan Chang ^a,b  

^a University of Illinois at Urbana Champaign   (United States)

^b Illinois at Singapore Pte   (Singapore)

Author keywords

[No Author keywords available]

Indexed keywords

DATA STREAMS; ITERATIVE METHODS; SOCIAL NETWORKING (ONLINE);

COST CONSTRAINTS; DATA PLATFORM; KEYWORD SELECTION; NEAR-OPTIMAL; NOVEL APPLICATIONS; SAMPLING ALGORITHM; SOCIAL DATUM; TRACK-BASED;

AUTOMATIC TELLER MACHINES;

EID: 84891132920     PISSN: None     EISSN: 21508097     Source Type: Journal    
DOI: 10.14778/2556549.2556577     Document Type: Article

References (27)

1. E. Agichtein and L. Gravano. Querying text databases for efficient information extraction. In ICDE, pages 113-124, 2003.
2. F. R. Bach. Structured sparsity-inducing norms through submodular functions. In NIPS, pages 118-126, 2010.
3. Z. Bar-Yossef and M. Gurevich. Random sampling from a search engine's index. J. ACM, 55(5):24:1-24:74, Nov. 2008.
4. M. Boanjak, E. Oliveira, J. Martins, E. Mendes Rodrigues, and L. Sarmento. Twitterecho: a distributed focused crawler to support open research with twitter data. In WWW Companion, pages 1233-1240, 2012.
5. S. Chakrabarti, M. van den Berg, and B. Dom. Focused crawling: A new approach to topic-specific web resource discovery. Computer Networks, 31(11-16):1623-1640, 1999.
6. M. Efron. Hashtag retrieval in a microblogging environment. In SIGIR, pages 787-788, 2010.
7. M. Hurst and A. Maykov. Social streams blog crawler. In ICDE, pages 1615-1618, 2009.
8. P. G. Ipeirotis, L. Gravano, and M. Sahami. Qprober: A system for automatic classification of hidden-web databases. ACM TOIS, 21:1-41, 2003.
9. L. Katzir, E. Liberty, and O. Somekh. Estimating sizes of social networks via biased sampling. In WWW, pages 597-606, 2011.
10. D. Kempe, J. Kleinberg, and E. Tardos. Maximizing the spread of influence through a social network. In KDD, pages 137-146, 2003.
11. A. Kulik, H. Shachnai, and T. Tamir. Maximizing submodular set functions subject to multiple linear constraints. In SODA, pages 545-554, 2009.
12. R. Li, K. H. Lei, R. Khadiwala, and K. C.-C. Chang. Tedas: A twitter-based event detection and analysis system. In ICDE, pages 1273-1276, 2012.
13. L. Lovsz. Random Walks on Graphs: A Survey, 1993.
14. M. Mathioudakis and N. Koudas. Twittermonitor: trend detection over the twitter stream. In SIGMOD, pages 1155-1158, 2010.
15. G. L. Nemhauser, L. A. Wolsey, and M. L. Fisher. An analysis of approximations for maximizing submodular set functions. Mathematical Programming, 14:265-294, 1978.
16. C. Olston and M. Najork. Web crawling. Foundations and Trends? in Information Retrieval, 4(3):175-246, 2010.
17. L. Page, S. Brin, R. Motwani, and T. Winograd. The pagerank citation ranking: Bringing order to the web. Technical Report 1999-66, Stanford InfoLab, November 1999.
18. S. Petrovíc, M. Osborne, and V. Lavrenko. The edinburgh twitter corpus. In Workshop on Computational Linguistics in a World of Social Media, pages 25-26, 2010.
19. X.-H. Phan, L.-M. Nguyen, and S. Horiguchi. Learning to classify short and sparse text & web with hidden topics from large-scale data collections. In WWW, pages 91-100, 2008.
20. S. E. Robertson and S. K. Jones. Relevance weighting of search terms. Journal of the American Society for Information Science, 27(3):129-146, 1976.
21. T. Sakaki, M. Okazaki, and Y. Matsuo. Earthquake shakes twitter users: real-time event detection by social sensors. In WWW, pages 851-860, 2010.
22. T. Sprenger. Tweettrader.net: Leveraging crowd wisdom in a stock microblogging forum. In ICWSM, pages 663-664, 2011.
23. M. Sviridenko. A note on maximizing a submodular set function subject to a knapsack constraint. Oper. Res. Lett., 32(1):41-43, 2004.
24. A. Tumasjan, T. Sprenger, P. Sandner, and I. Welpe. Predicting elections with twitter: What 140 characters reveal about political sentiment. In AAAI conference on weblogs and social media, pages 178-185, 2010.
25. Twitter. Streaming apis documentation. https://dev.twitter.com/docs/streaming-apis, 2012.
26. X. Wang, F. Wei, X. Liu, M. Zhou, and M. Zhang. Topic sentiment analysis in twitter: a graph-based hashtag sentiment classification approach. In CIKM, pages 1031-1040, 2011.
27. Wikipedia. Binomial proportion confidence interval. http://en.wikipedia.org/wiki/Binomial_proportion_ confidence_interval, Oct 2012.