Analysis of viral music diffusion with epidemic model

Abstract

Diffusion of information and viral content is one of the main topics of human dynamics. We propose to apply the SEIS model to the viral diffusion of content. Viral content diffusion involves two steps: step1 adopting a new content, step2 sharing information regarding the content. We adopt the SEIS model, which is an epidemic model, to describe the above-mentioned state transitions. In this study, we use a dataset containing chains of music sharing behavior for the music streaming service AWA in Japan. Proposed model can separately express “adopting” and “sharing” and evaluate them quantitatively.