Business Location Planning based on a Novel Geo-Social Influence Diffusion Model

摘要: Abstract In modern smart cities, an increasing number of businesses rely on social network marketing to capture potential customers and third-party delivery systems serve them; this system is called “online offline”. Consequently, the well-known business location planning problem, which used attract nearby offline users, must be redefined. Thus, we propose a novel influence diffusion model simulate spread advertisements for given within geo-social networks; considers distance from users other existing competitors. We present approximation algorithm evaluate maximum that can achieved based model. Moreover, efficiently select optimal (with largest spread) multiple candidates, clustering-based pruning strategy proposed. Our experimental results demonstrated effectiveness efficiency our approach.