Issue No. 04 - July/August (2010 vol. 14)
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/MIC.2010.51
Hung-Yu Kao , National Cheng Kung University, Taiwan
Chih-Lu Lin , 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.
blogosphere, social blog network, popularity mining, link analysis, social interconnection, social networking
Hung-Yu Kao, Chih-Lu Lin, "Blog Popularity Mining Using Social Interconnection Analysis", IEEE Internet Computing, vol. 14, no. , pp. 41-49, July/August 2010, doi:10.1109/MIC.2010.51