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Blog Popularity Mining Using Social Interconnection Analysis
July/August 2010 (vol. 14 no. 4)
pp. 41-49
Chih-Lu Lin, National Cheng Kung University, Taiwan
Hung-Yu Kao, National Cheng Kung University, Taiwan
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.

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Index Terms:
blogosphere, social blog network, popularity mining, link analysis, social interconnection, social networking
Citation:
Chih-Lu Lin, Hung-Yu Kao, "Blog Popularity Mining Using Social Interconnection Analysis," IEEE Internet Computing, vol. 14, no. 4, pp. 41-49, July-Aug. 2010, doi:10.1109/MIC.2010.51
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