Sciweavers

CIKM
2009
Springer

Blog cascade affinity: analysis and prediction

14 years 3 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
Comments (0)