Mention-anomaly-based Event Detection and tracking in Twitter

ASONAM 2014 - Proceedings of the 2014 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining

Volumn , Issue , 2014, Pages 375-382

  Guille, Adrien ^a   Favre, Cecile ^a  

^a UNIVERSITÉ LUMIÈRE LYON 2   (France)

Author keywords

[No Author keywords available]

Indexed keywords

SOCIAL ASPECTS;

DYNAMIC LINKS; EVENT DETECTION; EVENT DETECTION AND TRACKING; EXTERNAL KNOWLEDGE; LARGE VOLUMES; NUMBER OF PEOPLES; TEXTUAL CONTENT;

SOCIAL NETWORKING (ONLINE);

EID: 84911192678     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ASONAM.2014.6921613     Document Type: Conference Paper

References (23)

1. J. Yang and J. Leskovec, "Patterns of temporal variation in online media, " in WSDM, 2011, pp. 177-186.
2. J. Kleinberg, "Bursty and hierarchical structure in streams, " in KDD, 2002, pp. 91-101.
3. D. A. Shamma, L. Kennedy, and E. F. Churchill, "Peaks and persistence: modeling the shape of microblog conversations, " in CSCW, 2011, pp. 355-358.
4. J. Benhardus and J. Kalita, "Streaming trend detection in twitter, " IJWBC, vol. 9, no. 1, pp. 122-139, 2013.
5. J. H. Lau, N. Collier, and T. Baldwin, "On-line trend analysis with topic models: #twitter trends detection topic model online, " in COLING, 2012, pp. 1519-1534.
6. H. Yuheng, J. Ajita, D. S. Dorée, and W. Fei, "What were the tweets about? topical associations between public events and twitter feeds, " in ICWSM, 2012, pp. 154-161.
7. J. Weng and B.-S. Lee, "Event detection in twitter, " in ICWSM, 2011, pp. 401-408.
8. C. Li, A. Sun, and A. Datta, "Twevent: Segment-based event detection from tweets, " in CIKM, 2012, pp. 155-164.
9. R. Parikh and K. Karlapalem, "Et: events from tweets, " in companion WWW, 2013, pp. 613-620.
10. A. Guille, C. Favre, H. Hacid, and D. Zighed, "Sondy: An open source platform for social dynamics mining and analysis, " in SIGMOD, 2013, pp. 1005-1008.
11. L. AlSumait, D. Barbará, and C. Domeniconi, "On-line lda: Adaptive topic models for mining text streams with applications to topic detection and tracking, " in ICDM '08, 2008, pp. 3-12.
12. D. Blei, A. Ng, and M. Jordan, "Latent dirichlet allocation, " JMLR, vol. 3, pp. 993-1022, 2003.
13. G. P. C. Fung, J. X. Yu, P. S. Yu, and H. Lu, "Parameter free bursty events detection in text streams, " in VLDB, 2005, pp. 181-192.
14. L. M. Aiello, G. Petkos, C. Martin, D. Corney, S. Papadopoulos, R. Skraba, A. Goker, Y. Kompatsiaris, and A. Jaimes, "Sensing trending topics in twitter, " IEEE TM, vol. 15, no. 6, pp. 1-15, 2013.
15. T.-H. Fan, S. Lee, H.-I. Lu, T.-S. Tsou, T.-C. Wang, and A. Yao, "An optimal algorithm for maximum-sum segment and its application in bioinformatics, " in CIAA, 2003, pp. 251-257.
16. T. Lappas, B. Arai, M. Platakis, D. Kotsakos, and D. Gunopulos, "On burstiness-aware search for document sequences, " in KDD, 2009, pp. 477-486.
17. J. Bentley, "Programming pearls: algorithm design techniques, " CACM, vol. 27, no. 9, pp. 865-873, 1984.
18. O. Erdem, E. Ceyhan, and Y. Varli, "A new correlation coefficient for bivariate time-series data, " in MAF, 2012, pp. 58-73.
19. J. Hopcroft and R. Tarjan, "Algorithm 447: efficient algorithms for graph manipulation, " CACM, vol. 16, no. 6, pp. 372-378, 1973.
20. PearAnalytics, "Twitter study, " www.pearanalytics.com/wp-content/ uploads/2012/12/Twitter-Study-August-2009.pdf, Tech. Rep., 2009.
21. O. U. Press, "OUP dictionary team monitors twitterers tweets. http: //blog.oup.com/2009/06/oxford-twitter/, " 2009.
22. G. Valkanas and D. Gunopulos, "How the live web feels about events, " in CIKM, 2013, pp. 639-648.
23. D. M. Romero, B. Meeder, and J. Kleinberg, "Differences in the mechanics of information diffusion across topics: idioms, political hashtags, and complex contagion on twitter, " in WWW, 2011, pp. 695-704.