Information diffusion in two overlapping networks model

People´s opinions published in social media became one of the crucial touch-points in the purchase cycle. Many analytical companies provide their customers with tools and models that allow them to evaluate their media campaigns in a single network. However, lack of marketing decision´s supporting models that reflect the reality of a set of overlapping networks is a barrier to evaluate complex social media campaign effectiveness properly. The purpose of this paper is to present an algorithm allowing to generate a graph representing two combined scale-free networks that may overlap one another in order to simulate real-life example of social media networks coexistence. Using this model we investigate an example scenario calibrated using Polish Facebook and Twitter data. Experiment presents impact of company decisions regarding brand´s profile placement and awareness building marketing campaign intensity on reach, that marketing information in a form of post can achieve.