Monitoring trends on Facebook

Proceedings - IEEE 9th International Conference on Dependable, Autonomic and Secure Computing, DASC 2011

Volumn , Issue , 2011, Pages 895-902

  Cvijikj, Irena Pletikosa ^a   Michahelles, Florian ^a  

^a ETH ZURICH   (Switzerland)

Author keywords

Facebook; information retrieval; social media mining; social networks; text mining; trend detection

Indexed keywords

FACEBOOK; SOCIAL MEDIA; SOCIAL NETWORKS; TEXT MINING; TREND DETECTION;

EMBEDDED SOFTWARE; INFORMATION RETRIEVAL; SOCIAL NETWORKING (ONLINE); UNCERTAINTY ANALYSIS;

SEARCH ENGINES;

EID: 84856097543     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/DASC.2011.150     Document Type: Conference Paper

References (32)

1. J. Allan, "Topic Detection and Tracking," in Event-based Information Organization, Kluwer Academic Publishers, 2002.
2. S. Asur, and B. A. Huberman, "Predicting the Future with Social Media," Proc. Int. Conf. on Web Intelligence and Intelligent Agent Technology (IEEE/WIC/ACM 10), IEEE Press, Sep. 2010, pp. 492-499.
3. N. Bansal and N. Koudas, "Blogscope: A System for Online Analysis of High Volume Text Streams," Proc. 33rd Int. Conf. on Very Large Data Bases (VLDB 07), pp. 1410-1413.
4. H. Becker, M. Naaman, and L. Gravano, "Beyond Trending Topics: Real-world Event Identification on Twitter," Proc. 5th Int. AAAI Conf. on Weblogs and Social Media (ICWSM 11), AAAI Press, Jul. 2011.
5. A. Bermingham, and A. F. Smeaton, "Classifying Sentiment in Microblogs: Is brevity an Advantage?" Proc. 19th ACM Int. Conf. on Information and Knowledge Management (CIKM 10), ACM, Oct. 2010, pp. 1833-1836, doi:10.1145/1871437.1871741.
6. D. M. Boyd, and N. B. Ellison, "Social Network Sites: Definition, History, and Scholarship," Comput.-Mediat. Comm., Vol. 13 (1), Oct. 2007, pp. 210-230.
7. M. Cheong, and V. Lee, "Integrating Web-based Intelligence Retrieval and Decision-making from the Twitter Trends Knowledge Base," Proc. 2nd ACM Workshop on Social Web Search and Mining (SWSM 09), ACM, Nov. 2009, pp. 1-8, doi:10.1145/1651437.1651439
8. N. A. Diakopoulos, M. Naaman, and F. Kivran-Swaine, "Diamonds in the Rough: Social Media Visual Analytics for Journalistic Inquiry," IEEE Symposium on Visual Analytics Science Technology (IEEE VAST 09), Oct. 2009.
9. N. A. Diakopoulos, and D. A. Shamma, "Characterizing Debate Performance via Aggregated Twitter Sentiment," Proc. 28th Int. Conf. on Human Factors in Computing Systems (CHI 10), ACM, Apr. 2010, pp. 1195-1198, doi: 10.1145/1753326.1753504.
10. S. Goorha, and L. Ungar, "Discovery of Significant Emerging Trends," Proc. 16th ACM SIGKDD Int. Conf. on Knowledge Discovery and Data Mining (KDD 10), ACM, Jul. 2010, doi:10.1145/1835804.1835815.
11. B. J. Jansen, and M. Zhang, "Twitter Power: Tweets as Electronic Word of Mouth," American Society for Information Science, vol. 60 (11), Nov. 2009, pp. 2169-2188.
12. K. S. Jones, "A Statistical Interpretation of Term Specificity and its Applications in Retrieval," Documentation, vol. 28 (1), 1972, pp. 11-21.
13. J. Karlgren, "Information Retrieval Systems: Statistics and Linguistics," in Legal Management of Information Systems: Incorporating Law in E-solutions, 2nd ed., C. M. Sjoberg, Eds. Studentlitteratur AB, 2010, pp. 295-336.
14. A. Kontostathis, L. Galitsky, W. M. Pottenger, S. Roy, and D. J. Phelps, "A Survey of Emerging Trend Detection in Textual Data Mining," in Survey of Text Mining: Cluster Classification and Retrieval, W. M. Berry, Eds. Springer-Verlag, 2003, pp. 185-224.
15. H. Kwak, C. Lee, H. Park, and S. M. Kwak, "What is Twitter, a Social Network or a News Media?" Proc. 19th Int. Conf. on World Wide Web (WWW 10), ACM, Apr. 2010, pp. 591-600, doi:10.1145/1772690.1772751.
16. M. Mathioudakis, and N. Koudas, "TwitterMonitor: Trend Detection over the Twitter Stream," Proc. ACM Int. Conf. on ACM Special Interest Group on Management of Data (SIGMOD 10), ACM, Jun. 2010, pp. 1155-1158, doi:10.1145/1807167.1807306.
17. M. Naaman, H. Becker, and L. Gravano, "Hip and Trendy: Characterizing Emerging Trends on Twitter." American Society for Information Science and Technology, vol. 62 (5), May 2011, pp. 902-918.
18. E. Noelle-Neumann, The Spiral of Silence: Public Opinion-Our Social Skin, Chicago: Univ. Chicago Press, 1980.
19. S. Petrovic, M. Osborne, and V. Lavrenko, "Streaming First Story Detection with Application to Twitter," North American Chapter of the Association for Computational Linguistics - Human Language Technologies (NAACL HLT 10), Association for Computational Linguistics, Stroudsburg, PA, USA, Apr. 2010, pp. 181-189.
20. O. Phelan, K. McCarthy, and B. Smyth, "Using Twitter to Recommend Real-Time Topical News," Proc. 3rd ACM Conf. on Recommender Systems (RECSYS 09), ACM, Oct. 2009, pp. 385-388. doi:10.1145/1639714.1639794.
21. V. Raghavan, P. Bollmann, and G. S. Jung, "A Critical Investigation of Recall and Precision as Measures of Retrieval System Performance," ACM Trans. Inf. Syst., vol. 7, pp. 205-229, 1989. (Pubitemid 21659999)
22. D. Ramage, S. Dumais, and D. Liebling, "Characterizing Microblogs with Topic Models," Proc. 4th Int. AAAI Conf. on Weblogs and Social Media (ICWSM 10), AAAI Press, May 2010, pp. 130-137.
23. D. Richter, K. Riemer, and J. vom Brocke, "Internet Social Networking: Research State of the Art and Implications for Enterprise 2.0 (State of the Art)," Wirtschaftsinformatik, vol. 53 (2), Apr. 2011, pp. 89-103.
24. M. Ringel Morris, J. Teevan, and K. Panovich, "What do People Ask their Social Networks, and Why?: A Survey Study of Status Message Q&A Behavior," Proc. 28th Int. Conf. on Human Factors in Computing Systems (CHI 10), ACM, Apr. 2011, pp. 1739-1748, doi:10.1145/1753326.1753587.
25. T. Sakaki, M. Okazaki, and Y. Matsuo, "Earthquake Shakes Twitter Users: Real-time Event Detection by Social Sensors,"Proc. 19th Int. Conf. on World Wide Web (WWW 10), ACM, Apr. 010, pp. 851-860, doi:10.1145/1772690. 1772777.
26. G. Salton, and M. J. Mcgill, Introduction to Modern Information Retrieval, McGraw-Hill, Inc., New York, NY, USA, 1986.
27. B. Sharifi, M.-A. Hutton, and J. K. Kalita, "Experiments in Microblog Summarization," Proc. 2nd IEEE Int. Conf. on Social Computing (SOCIALCOM 10), IEEE Press, Aug. 2010, pp. 49-56, doi:10.1109/SocialCom.2010.17
28. W. Simm, M.-A. Ferrario, S. Piao, J. Whittle, and P. Rayson, "Classification of Short Text Comments by Sentiment and Actionability for VoiceYourView," Proc. 2nd IEEE Int. Conf. on Social Computing (SOCIALCOM 10), IEEE Press, Aug. 2010, pp. 552-557, doi:10.1109/SocialCom.2010.87.
29. J. Teevan, D. Ramage, and M. R. Ringel, "#TwitterSearch: A Comparison of Microblog Search and Web Search," Proc. 4th ACM Int. Conf. on Web Search and Data Mining (WSDM 11), ACM, Feb. 2011, pp. 35-44, doi: 10.1145/1935826.1935842.
30. A. Tumasjan, T. O. Sprenger, P. G. Sandner, and I. M. Welpe, "Predicting Elections with Twitter: What 140 Characters Reveal about Political Sentiment," Proc. 4th Int. AAAI Conf. on Weblogs and Social Media (ICWSM 10), May 2010.
31. H. R. Varian, and H. Choi, "Predicting the Present with Google Trends," Google Research Blog, Apr. 2009, http://googleresearch.blogspot. com/2009/04/predicting-presentwith-google-trends.html
32. C. Zeidler, "Avoiding Traffic Jams with Twitter & iPhone,"SAP.info, Feb. 2010, http://en.sap.info/avoiding-traffic-jams- withtwitter-iphone/23754