Control Strategies for Recommendation Systems in Social Networks
<|reference_start|>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 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.<|reference_end|>
@article{sprenger2024control,
    title={Control Strategies for Recommendation Systems in Social Networks},
    author={Ben Sprenger, Giulia De Pasquale, Raffaele Soloperto, John Lygeros,
  and Florian D"orfler},
    journal={arXiv preprint arXiv:2403.06152},
    year={2024},
    archivePrefix={arXiv},
    eprint={2403.06152},
    primaryClass={eess.SY cs.SI cs.SY physics.soc-ph}
}