The subject of Lee’s paper is influence maximization problem. When any social network and the number of selected people are provided, selecting a certain number of people that can maximize influence spread is the problem. To solve this problem, an influence diffusion model is required but existing models are based on impossible suppositions. Accordingly, Lee suggests a more realistic influence-diffusion model and proposes a new algorithm that can solve the influence maximization problem. This problem can be adjusted in real world situations, such as viral marketing.
저작권자 © 포항공대신문 무단전재 및 재배포 금지