Using Reinforcement Learning to Boost Grey Wolf Optimizer for Influence Maximization in Social Networks

Puntos clave

• Influence maximization is significantly increased through the application of a reinforcement learning-enhanced algorithm.
• The proposed model shows a 30% improvement in efficiency compared to traditional approaches in social networks.
• Assessment using influence cascades across diverse social network graphs highlights robust performance indicators.
• The model may enable more successful marketing strategies and information dissemination in real-world networks.