Control Strategies for Recommendation Systems in Social Networks

2024/03/10 by Sprenger, Ben, De Pasquale, Giulia, Soloperto, Raffaele +2 · 3 citations
#FOS: Computer and information sciences #FOS: Electrical engineering #FOS: Physical sciences #Physics and Society (physics.soc-ph) #Social and Information Networks (cs.SI) #Systems and Control (eess.SY) #electronic engineering #information engineering

paper · doi:10.48550/arxiv.2403.06152

Abstract

A closed-loop control model to analyze the impact of recommendation systems on opinion dynamics within social networks is introduced. The core contribution is the development and formalization of model-free and model-based approaches to recommendation system design, integrating the dynamics of social interactions within networks via an extension of the Friedkin-Johnsen (FJ) model. Comparative analysis and numerical simulations demonstrate the effectiveness of the proposed control strategies in maximizing user engagement and their potential for influencing opinion formation processes.

Cited by

• Learning to Control Misinformation: a Closed-loop Approach for Misinformation Mitigation over Social Networks
• Feedback dynamics in Politics: The interplay between sentiment and engagement
• Modelling the Closed Loop Dynamics Between a Social Media Recommender System and Users' Opinions

Related

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• Modelling the Closed Loop Dynamics Between a Social Media Recommender System and Users' Opinions
• Steering opinion dynamics through control of social networks
• Wisdom of the Crowd: Incorporating Social Influence in Recommendation Models