TY - GEN
T1 - Splog detection using content, time and link structures
AU - Lin, Yu Ru
AU - Sundaram, Hari
AU - Chi, Yun
AU - Tatemura, Jun
AU - Tseng, Belle
PY - 2007
Y1 - 2007
N2 - This paper focuses on spam Hog (splog) detection. Blogs are highly popular, new media social communication mechanisms and splogs corrupt blog search results as well as waste network resources. In our approach we exploit unique blog temporal dynamics to detect splogs. The key idea is that splogs exhibit high temporal regularity in content and post time, as well as consistent linking patterns. Temporal content regularity is detected using a novel autocorrelation of post content. Temporal structural regularity is determined using the entropy of the post time difference distribution, while the link regularity is computed using a HITS based hub score measure. Experiments based on the annotated ground truth on real world dataset show excellent results on splog detection tasks with 90% accuracy.
AB - This paper focuses on spam Hog (splog) detection. Blogs are highly popular, new media social communication mechanisms and splogs corrupt blog search results as well as waste network resources. In our approach we exploit unique blog temporal dynamics to detect splogs. The key idea is that splogs exhibit high temporal regularity in content and post time, as well as consistent linking patterns. Temporal content regularity is detected using a novel autocorrelation of post content. Temporal structural regularity is determined using the entropy of the post time difference distribution, while the link regularity is computed using a HITS based hub score measure. Experiments based on the annotated ground truth on real world dataset show excellent results on splog detection tasks with 90% accuracy.
UR - http://www.scopus.com/inward/record.url?scp=40949084945&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=40949084945&partnerID=8YFLogxK
U2 - 10.1109/icme.2007.4285079
DO - 10.1109/icme.2007.4285079
M3 - Conference contribution
AN - SCOPUS:40949084945
SN - 1424410177
SN - 9781424410170
T3 - Proceedings of the 2007 IEEE International Conference on Multimedia and Expo, ICME 2007
SP - 2030
EP - 2033
BT - Proceedings of the 2007 IEEE International Conference on Multimedia and Expo, ICME 2007
PB - IEEE Computer Society
T2 - IEEE International Conference onMultimedia and Expo, ICME 2007
Y2 - 2 July 2007 through 5 July 2007
ER -