A data-driven kinetic model for opinion dynamics with social network contacts

• Published in: European journal of applied mathematics Vol. 36; no. 2; pp. 264 - 290
• Main Authors: Albi, Giacomo, Calzola, Elisa, Dimarco, Giacomo
• Format: Journal Article
• Language: English
• Published: Cambridge, UK Cambridge University Press 01.04.2025
• Subjects: 35Q91; 65M75; 91B74; 91D30; Behavior; collective behaviour; Construction; data-driven models; Digital media; Dynamics; kinetic and Boltzmann equations; multi-agent systems; Opinion dynamics; Parameter estimation; Sentiment analysis; Social networks; Statistical physics; 35Q91; multi-agent systems; 91D30; data-driven models; kinetic and Boltzmann equations; collective behaviour; Opinion dynamics; 91B74; 65M75

Opinion dynamics is an important and very active area of research that delves into the complex processes through which individuals form and modify their opinions within a social context. The ability to comprehend and unravel the mechanisms that drive opinion formation is of great significance for pr...