Blog Popularity Mining Using Social Interconnection Analysis

Authors:
Chih-Lu Lin;Hung-Yu Kao
Affiliations:
National Cheng Kung University, Taiwan;National Cheng Kung University, Taiwan
Venue:
IEEE Internet Computing
Year:
2010

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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.