An influence-driven feedback system for preference similarity network clustering based consensus group decision making model.

•This study contributes to consensus generation within a social network framework.•The concept of eigenvector-like centrality measure is implemented within a hierarchical clustered preference similarity network.•A new centrality influence score measure is developed for the purpose of identifying the network influencer.•A new similarity social influence network feedback mechanism is designed.