On Adaptive Influence Maximization Under General Feedback Models
On Adaptive Influence Maximization Under General Feedback Models
The classic influence maximization problem explores the strategies for deploying cascades such that the total influence is maximized, and it assumes that the seed nodes that initiate the cascades are computed prior to the diffusion process. In its adaptive version, the seed nodes are allowed to be launched in an …