Control Strategies for Recommendation Systems in Social Networks
B. Sprenger, Giulia De Pasquale, Raffaele Soloperto, John Lygeros, Florian Dörfler
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 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.
Topics & Concepts
Computer scienceVariation (astronomy)Control (management)System dynamicsDynamics (music)Core (optical fiber)Recommender systemSocial dynamicsManagement scienceArtificial intelligenceMachine learningEngineeringTelecommunicationsSociologyAstrophysicsPhysicsPedagogyOpinion Dynamics and Social InfluenceComplex Network Analysis TechniquesSocial Media and Politics