Splog detection using content, time and link structures

Proceedings of the 2007 IEEE International Conference on Multimedia and Expo, ICME 2007

Volumn , Issue , 2007, Pages 2030-2033

  Lin, Yu Ru ^a   Sundaram, Hari ^a   Chi, Yun ^b   Tatemura, Jun ^b   Tseng, Belle ^b  

^a ARIZONA STATE UNIVERSITY   (United States)

^b NEC LABORATORIES AMERICA   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

DETECTION TASKS; LINK STRUCTURE; LINKING PATTERN; NETWORK RESOURCE; SOCIAL COMMUNICATIONS; STRUCTURAL REGULARITY; TEMPORAL DYNAMICS; TIME-DIFFERENCES;

BLOGS;

EID: 40949084945     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/icme.2007.4285079     Document Type: Conference Paper

References (10)

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5. J. M. KLEINBERG (1999). Authoritative sources in a hyperlinked environment. J. ACM 46(5): 604-632.
6. P. KOLARI (2005) Welcome to the Splogosphere: 75% of new pings are spings (splogs) permalink: http://ebiquity.umbc.edu/blogger/2005/ 12/15/welcome-to-the-splogosphere-75-of-new-blog-posts-are-spam/.
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9. G. SHEN, B. GAO, T.-Y. LIU, G. FENO, S. SONO and H. LI (2006). Detecting Link Spam using Temporal Information, Proc. of ICDM-2006, to appear, 2006,
10. UMBRIA (2006) SPAM in the blogosphere http://www.umbrialistens.com/files/uploads/umbria_splog.pdf.