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Issue No.04 - July/August (2010 vol.14)
pp: 41-49
Chih-Lu Lin , National Cheng Kung University, Taiwan
Hung-Yu Kao , National Cheng Kung University, 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.
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/August 2010, doi:10.1109/MIC.2010.51
REFERENCES
1. L. Page et al., The PageRank Citation Ranking: Bringing Order to the Web, tech. report, Stanford InfoLab, 1999; http://ilpubs.stanford.edu:8090/422/11999-66.pdf .
2. J. Cohen, "A Coefficient of Agreement for Nominal Scales," Educational and Psychological Measurement, vol. 20, no. 1, 1960, pp. 37–46.
3. D.E. Critchlow, Metric Methods for Analyzing Partially Ranked Data, Springer-Verlag, 1986.
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