Modeling Periodic Impulsive Effects on Online TV Series Diffusion.

ABSTRACT:

Background

Online broadcasting substantially affects the production, distribution, and profit of TV series. In addition, online word-of-mouth significantly affects the diffusion of TV series. Because on-demand streaming rates are the most important factor that influences the earnings of online video suppliers, streaming statistics and forecasting trends are valuable. In this paper, we investigate the effects of periodic impulsive stimulation and pre-launch promotion on on-demand streaming dynamics. We consider imbalanced audience feverish distribution using an impulsive susceptible-infected-removed(SIR)-like model. In addition, we perform a correlation analysis of online buzz volume based on Baidu Index data.

Methods

We propose a PI-SIR model to evolve audience dynamics and

SUBMITTER: Fu P 

PROVIDER: S-EPMC5036804 | biostudies-literature | 2016

REPOSITORIES: biostudies-literature