BOPIM: Bayesian Optimization for influence maximization on temporal networks

Eric Yanchenko

The goal of influence maximization (IM) is to select a small set of seed nodes which maximizes the spread of influence on a network. In this work, we propose BOPIM, a Bayesian Opti…