Graph Bayesian Optimization for Multiplex Influence Maximization

arXiv:2403.18866v1 Announce Type: cross
Abstract: Influence maximization (IM) is the problem of identifying a limited number of initial influential users within a social network to maximize the number of influenced users. However, previous research has mostly focused on individual information propagation, neglecting the simultaneous and interactive dissemination of multiple information items. In reality, when users encounter a piece of information, such as a smartphone product, they often associate it with related products in their minds, such as earphones or computers …

abstract arxiv bayesian cs.lg cs.si graph however influence information interactive multiple network optimization propagation reality research social type