Fair Influence Maximization with Reverse Influence Sampling Boosted Multi-Objective Genetic Algorithm
Influence maximization (IM) selects a small set of seed users to maximize expected diffusion in a social network, typically under the Independent Cascade model. Optimizing only global spread can amplify pre-existing structural inequities: some groups (e.g., demographics, communities, or departments) may receive far les...