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CIKM
2009
Springer

Blog cascade affinity: analysis and prediction

13 years 8 months ago
Blog cascade affinity: analysis and prediction
Information propagation within the blogosphere is of much importance in implementing policies, marketing research, launching new products, and other applications. In this paper, we take a microscopic view of the information propagation pattern in blogosphere by investigating blog cascade affinity. A blog cascade is a group of posts linked together discussing about the same topic, and cascade affinity refers to the phenomenon of a blog's inclination to join a specific cascade. We identify and analyze an array of features that may affect a blogger's cascade joining behavior and utilize these features to predict cascade affinity of blogs. Evaluated on a real dataset consisting of 873,496 posts, our svm-based
Hui Li, Sourav S. Bhowmick, Aixin Sun
Added 14 Aug 2010
Updated 14 Aug 2010
Type Conference
Year 2009
Where CIKM
Authors Hui Li, Sourav S. Bhowmick, Aixin Sun
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