Control Strategies for Recommendation Systems in Social Networks
Systems and Control
2024-03-12 v1 Social and Information Networks
Systems and Control
Physics and Society
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.
Keywords
Cite
@article{arxiv.2403.06152,
title = {Control Strategies for Recommendation Systems in Social Networks},
author = {Ben Sprenger and Giulia De Pasquale and Raffaele Soloperto and John Lygeros and Florian Dörfler},
journal= {arXiv preprint arXiv:2403.06152},
year = {2024}
}