Dynamic and Static Influence Models on Starbucks Networks

In this paper, we consider Starbucks stores in Korea, which have been spread most rapidly in the world, as an exemplary social network. We define two kinds of influence models and analyze the diffusive power of each node in a network. One is Dynamic Influence Model for time-varing diffusion analysis and the other is Static Influence Model for cumulative spreading power analysis. The physical features of the most influential stores of the simulation results show that our social influence models are convincing.