Algorithmic Fairness for Influence Maximization: A Survey of Models, Metrics, and Optimization Techniques
Influence maximization (IM) has become a basis of modeling information spread across social networks, with applications in viral marketing, public health, and political campaigns. However, classical IM algorithms often prioritize the spread of overall influence and ignore its fairness, resulting in disadvantages for ma...