Title :
Blog Popularity Mining Using Social Interconnection Analysis
Author :
Lin, Chih-Lu ; Kao, Hung-Yu
Author_Institution :
Nat. Cheng Kung Univ., Tainan, Taiwan
Abstract :
Analyzing interconnections among blog communities reveals blogger behaviors that could help in assessing blog quality. A new approach to ranking blogs uses a social blog network model based on blogs´ interconnection structure and a popularity ranking method, called BRank. Experiments show that the proposed method can discriminate blogs with various degrees of popularity in the blogosphere.
Keywords :
Web sites; data mining; Blog popularity mining; blogger behaviors; blogs interconnection structure; popularity ranking method; social blog network; social interconnection analysis; blogosphere; link analysis; popularity mining; social blog network; social interconnection; social networking;
Journal_Title :
Internet Computing, IEEE
DOI :
10.1109/MIC.2010.51
