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Blog Popularity Mining Using Social Interconnection Analysis

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2 Author(s)
Chih-Lu Lin ; Nat. Cheng Kung Univ., Tainan, Taiwan ; Hung-Yu Kao

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.

Published in:

Internet Computing, IEEE  (Volume:14 ,  Issue: 4 )