Are the URLs really popular in microblog messages?

CCIS2011 - Proceedings: 2011 IEEE International Conference on Cloud Computing and Intelligence Systems

Volumn , Issue , 2011, Pages 1-5

  Cui, Anqi ^a   Zhang, Min ^a   Liu, Yiqun ^a   Ma, Shaoping ^a  

^a TSINGHUA UNIVERSITY   (China)

Author keywords

Microblogging; Sina Weibo; spam URL; text mining; Twitter

Indexed keywords

MICROBLOGGING; SINA WEIBO; SPAM URL; TEXT MINING; TWITTER;

CLUSTERING ALGORITHMS; COMPUTER SYSTEMS; DATA MINING; INTERNET; SOCIAL NETWORKING (ONLINE);

CLOUD COMPUTING;

EID: 80055104479     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CCIS.2011.6045021     Document Type: Conference Paper

References (14)

1. H. Kwak, C. Lee, H. Park, and S. Moon. What is Twitter, a Social Network or a News Media? Proc. of the 19th Int World Wide Web Conf, pages 591-600, 2010.
2. X. Liu, K. Li, B. Han, M. Zhou, L. Jiang, Z. Xiong, and C. Huang. Semantic Role Labeling for News Tweets. COLING 2010, pages 698-706, 2010.
3. T.-S. Moh, and A. J. Murmann. Can You Judge a Man by His Friends? - Enhancing Spammer Detection on the Twitter Microblogging Platform Using Friends and Followers. Communications in Computer and Information Science, 2010 54(4):210-220.
4. A. Wang. Don't Follow Me: Twitter Spam Detection. Proc. of the 5th Int Conf on Security and Cryptography, 2010.
5. K. Lee, J. Caverlee, and S. Webb. Uncovering Social Spammers: Social Honeypots + Machine Learning. Proc. of the 33rd Int ACM SIGIR Conf, pages 435-442, 2010
6. G. Stringhini, C. Kruegel, and G. Vigna. A Study on Social Network Spam. Graduate Student Workshop on Computing 2010, page 43.
7. S. Yardi, D. Romero, G. Schoenebeck, and D. M. Boyd. Detecting spam in a Twitter network. First Monday, 15(1):1-13, 2010.
8. C. Shekar, S. Wakade, K. J. Liszka, C.-C. Chan. Mining Pharmaceutical Spam from Twitter. Proc. of the 10th Int Conf on Intelligent Systems Design and Applications, page 813, 2010.
9. F. Benevenuto, G. Magno, T. Rodrigues, and V. Almeida. Detecting Spammers on Twitter. In Proc. of the 7th Annual Collaboration, Electronic Messaging, Anti-Abuse and Spam Conference, 2010.
10. K. J. Liszka, C.-C. Chan, C. Shekar, and S. Wakade. Detecting Pharmaceutical Spam in Microblog Messages. http://www.cs.uakron.edu/~chan/ DataMining/References/Detecting%20Pharma%20Spam%20--Liszka%20et %20al.pdf.
11. Clean Tweets. http://www.seoq.com/blvdstatus/clean-tweets.html.
12. M. Mowbray. The Twittering Machine. Journal of Applied Statistics, 17(2):211-217.
13. C. Grier, K. Thomas, V. Paxson, and M. Zhang. @spam: The Underground on 140 Characters or Less. Proc. of the 17th ACM Conf on Computer and communications security, pages 27-37, 2010.
14. L. Yu, S. Asur, B. A. Huberman. What Trends in Chinese Social Media. To appear in Proc. of the 5th SNA-KDD Workshop, 2011.