Heterogeneous network influence maximization algorithm based on multi-scale propagation strength and repulsive force of propagation field

Chang Guo, Weimin Li, Jingchao Wang, Xiao Yu, Xiao Liu, Alex Munyole Luvembe, Can Wang, Qun Jin

Abstract: Highlights•Propose a propagation field for solving the influence maximization problem.•Takes advantage of the heterogeneous network’s different structural scales.•GNN is trained for link prediction to mine the global propagation range of nodes.•Propose independent cascade model based on meta-path for heterogeneous networks.