Details

Autor(en) / Beteiligte

• Saito, Kazumi
• Nakano, Ryohei
• Kimura, Masahiro

Titel

Prediction of Information Diffusion Probabilities for Independent Cascade Model

Ist Teil von

• Knowledge-Based Intelligent Information and Engineering Systems, Vol.5179, p.67-75

Ort / Verlag

Berlin, Heidelberg: Springer Berlin Heidelberg

Quelle

Alma/SFX Local Collection

Beschreibungen/Notizen

• We address a problem of predicting diffusion probabilities in complex networks. As one approach to this problem, we focus on the independent cascade (IC) model, and define the likelihood for information diffusion episodes, where an episode means a sequence of newly active nodes. Then, we present a method for predicting diffusion probabilities by using the EM algorithm. Our experiments using a real network data set show the proposed method works well.