Abstract for: A Disaggregated Bass Diffusion Model using R

Diffusion is a fundamental process in physical, biological, social and economic settings. Consumer products often “go viral”, with sales driven by the word of mouth effect, as their adoption spreads through a population. The classic diffusion model used for product adoption is the Bass diffusion model, and this divides a population into two groups of people: potential adopters who are likely to adopt a product, and adopters who have purchased the product, and influence others to adopt. The Bass diffusion model is normally captured in an aggregate form, where no significant consumer differences are modeled. This paper uses extends the Bass model to capture a spatial perspective, using disggregate equations from the field of infectious disease modeling. The paper then implements the disaggregate model in R, and shows the potential of using the R framework to implementing large-scale disaggregated system dynamics models.