A dynamic model of social media ad information diffusion in uncertain environment

In the social media environment, ad (advertise) information diffusion can effectively increase the ad promotion effect and promote product marketing. Therefore, it is essential to study the mechanism of ad information diffusion in social media. This study aims to help cope with the complexity and uncertainty in social media ad information diffusion systems by identifying the causal relationships behind ad information diffusion behavior and clarifying the feedback mechanisms of system factors, and then testing the validity of the system model through simulation. Specifically, this study innovatively combines system dynamics and uncertainty theory to construct a dynamic model of ad information diffusion system. Particularly, the uncertainty effect of environmental noise on the ad information diffusion system is considered and portrayed as a Liu process. This study can explore the diffusion mechanism of ad information more precisely, so as to better serve the ad promotion industry.