References
- WIKIPEDIA: http://www.wikipedia.org/ (accessed May 2, 2014)
- H. Kwak, C. Lee, H. Park, and S. Moon, "What is Twitter, a social network or a news media?," in Proceeding of the 19th international conference on World wide web, pp.591-600, 2010.
- B. Kitchenham, "Procedures for Undertaking Systematic Reviews," Joint Technical Report, Computer Science Department, Keele University (TR/SE-0401) and National ICT Australia Ltd. (0400011T.1), 2004.
- F. Lucas, F. Molina, and A. Toval, "A systematic review of UML model consistency management," Information and Software Technology, Vol.51, pp.1631-1645, 2009. https://doi.org/10.1016/j.infsof.2009.04.009
- D. Budgen, A. J. Burn, O. P. Brereton, B. A. Kitchenham, and R. Pretorius, "Empirical evidence about the UML: a systematic literature review," Software: Practice and Experience, Vol.41, Iss.4, pp.363-392, 2011. https://doi.org/10.1002/spe.1009
- A. Java, X. Song, T. Finin, and B. Tseng, "Why we twitter: understanding microblogging usage and communities," in Proceedings of the 9th WebKDD, pp.56-65, 2007.
- A. Tumasjan, T. Sprenger, P. Sandner, and I. Welpe, "Predicting elections with twitter: What 140 characters reveal about political sentiment," in Proceedings of the Fourth International AAAI Conference on Weblogs and Social Media, pp.178-185, 2010.
- M. Conover, J. Ratkiewicz, M. Francisco, B. Goncalves, A. Flammini, and F. Menczer, "Political polarization on twitter," in Proceedings of the Fifth International AAAI Conference on Weblogs and Social Media, pp.89-96, 2011.
- J. Bollen, H. Mao, and X. Zeng, "Twitter mood predicts the stock market," Journal of Computational Science, Vol.2, Iss.1, pp.1-8, 2011. https://doi.org/10.1016/j.jocs.2010.12.007
- J. Yoon and B. Hwang, "Design of a Productivity Measuring System for Twitter Marketing Reflecting User"s Sentiment in Social Networks," Journal of KISS: Database, Vol.40, No.6, pp.377-385, 2013.
- R. Junco, G. Heiberger, and E. Loken, "The effect of Twitter on college student engagement and grades," Journal of Computer Assited Learning, Vol.27, Iss.2, pp.119-132, 2011. https://doi.org/10.1111/j.1365-2729.2010.00387.x
- C. Hawn, "Take two aspirin and tweet me in the morning: how Twitter, Facebook, and other social media are reshaping health care," Health Affairs, Vol.28, No.2, pp.361-368, 2009. https://doi.org/10.1377/hlthaff.28.2.361
- C. Castillo, M. Mendoza, B. Poblete, "Information credibility on twitter," in Proceedings of the 20th international conference on World wide web, pp.675-684, 2011.
- A. Teutle, "Twitter: Network properties analysis," in Proceeding of 20th International Conference on Electronics, Communications and Computer(CONIELECOMP), pp.180-186, 2010.
- M. Cataldi, L. Caro, and C. Schifanella, "Emerging topic detection on twitter based on temporal and social terms evaluation," in Proceedings of the Tenth International Workshop on Multimedia Data Mining, 2010.
- D. Boyd, S. Golder, and G. Lotan, "Tweet, Tweet, Retweet: Conversational Aspects of Retweeting on Twitter," in Proceeding of 43rd Hawaii International Conference on System Sciences (HICSS), pp.1-10, 2010.
- H. Kwak, H. Chun, and S. Moon, "Fragile online relationship: a first look at unfollow dynamics in twitter," in Proceeding of the SIGCHI Conference on Human Factors in Computing Systems, pp.1091-1100, 2011.
- M. Mathioudaks, and N. Koudas, "TwitterMonitor: trend detection over the twitter stream," in Proceeding of the 2010 ACM SIGMOD International Conference on Management of data, pp.1155-1158, 2010.
- H. Becker, M. Naaman, and L. Gravano, "Beyond trending topics: Real-world event identification on Twitter," in Proceedings of the Fifth International AAAI Conference on Weblogs and Social Media, pp.438-441, 2011.
- Z. Cheng, J. Caverlee, and K. Lee, "You are where you tweet: a content-based approach to geo-locating twitter users," in Proceedings of the 19th ACM international conference on Information and knowledge management, pp.759-768, 2010.
- A. Pak, and P. Paroubek, "Twitter as a corpus for sentiment analysis and opinion mining," in Proceeding of 7th international conference on Language Resources and Evaluation (LREC 2010), pp.1320-1326, 2010.
- J. Bollen, H. Mao, and A. Pepe, "Modeling public mood and emotion: Twitter sentiment and socio-economic phenomena," in Proceedings of the Fifth International AAAI Conference on Weblogs and Social Media, pp.450-453, 2011.
- S. Yardi, D. Romero, G. Schoenebeck, and D. boyd, "Detecting spam in a twitter network," First Monday, Vol.15, No.1-4, 2010.
- D. Romero, B. Meeder, and J. Kleinberg, "Differences in the mechanics of information diffusion across topics: idioms, political hashtags, and complex contagion on twitter," in Proceedings of the 20th international conference on World wide web, pp.695-704, 2011.
- X. Liu, S. Zhang, F. Wei, and M. Zhou, "Recognizing named entities in tweets," in Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies, pp.359-367, 2011.
- M. Perc, "Modeling Users' Activity on Twitter Networks: Validation of Dunbar's Number," PLoS ONE, Vol.6, No.8, e22656, 2011. https://doi.org/10.1371/journal.pone.0022656
- K. Lerman and R. Ghosh, "Information contagion: An empirical study of the spread of news on Digg and Twitter social networks," in Proceedings of the Fourth International AAAI Conference on Weblogs and Social Media, pp.90-97, 2010.
- G. Lotan, E. Graeff, M. Ananny, D. Gaffney, I. Pearce, and D. Boyd, "The Revolutions Were Tweeted: Information Flows During the 2011 Tunisian and Egyptian Revolutions," International Journal of Communication, Vol.5, pp.1375-1405, 2011.
- W. Reinhardt, M. Ebner, G. Beham, C. Costa, "How people are using Twitter during conferences," in Proceeding of 5. EduMedia conference, pp.145-156, 2009.
- E. Bakshy, J. Hofman, W. Mason, and D. Watts, "Everyone's an influencer: quantifying influence on twitter," in Proceedings of the fourth ACM international conference on Web search and data mining, pp.65-74, 2011.
- S. Wu, J. Hofman, W. Mason, and D. Watts, "Who says what to whom on twitter," in Proceedings of the 20th international conference on World wide web, pp.705-714, 2011.
- Y. Takhteyev, A. Gruzd, and B. Wellman, "Geography of Twitter networks," Social Networks, Vol.34, Iss.1, pp.73-81, 2012. https://doi.org/10.1016/j.socnet.2011.05.006
- G. Lee and K. Lee, "Twitter Sentiment Analysis for the Recent Trend Extracted from the Newspaper Article," KIPS transactions o software and data engineering, Vol.2, No.10, pp.731-738, 2013 https://doi.org/10.3745/KTSDE.2013.2.10.731
- IEEE Xplore: http://ieeexplore.ieee.org/(accessed May 2, 2014)
- ACM Digital Library:http://dl.acm.org/(accesse d May 2, 2014)
- Google Scholar: http://scholar.google.co.kr/(acc essed May 2, 2014)
- Science Direct: http://www.sciencedirect.com/(acc essed May 2, 2014)
- Web of Science: http://apps.webofknowledge.com/(accessed May 2, 2014)
- O. Phelan, K. McCarthy, and B. Smyth, "Using Twitter to Recommend Real-Time Topical News," in Proceedings of the third ACM conference on Recommender systems, pp.385-388, 2009
- T. Sakaki, M. Okazaki, and Y. Matsuo, "Earthquake shakes Twitter users: real-time event detection by social sensors," in Proceedings of the 19th international conference on world wide web, pp.851-860, 2010