Control Strategies for Recommendation Systems in Social Networks

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 socia...

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Bibliographic Details
Published in:IEEE control systems letters 2024, Vol.8, p.634-639
Main Authors: Sprenger, Ben, De Pasquale, Giulia, Soloperto, Raffaele, Lygeros, John, Dorfler, Florian
Format: Article
Language:English
Subjects:
model predictive control
Numerical models
opinion dynamics
Predictive models
Recommender systems
Social networking (online)
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Summary: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 a variation 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.
ISSN:2475-1456
2475-1456
DOI:10.1109/LCSYS.2024.3400701