Learning Opinion Dynamics From Social Traces
Corrado Monti, Gianmarco De Francisci Morales, Francesco Bonchi
Abstract
Opinion dynamics the research field dealing with how people's opinions form and evolve in a social context? traditionally uses agent-based models to validate the implications of sociological theories. These models encode the causal mechanism that drives the opinion formation process, and have the advantage of being easy to interpret. However, as they do not exploit the availability of data, their predictive power is limited. Moreover, parameter calibration and model selection are manual and difficult tasks.
Topics & Concepts
ExploitField (mathematics)Computer scienceSelection (genetic algorithm)Mechanism (biology)Dynamics (music)Artificial intelligencePower (physics)ENCODESocial dynamicsEpistemologySociologyPublic opinionManagement scienceTask (project management)Data sciencePredictive powerSocial learningCalibrationModel selectionCausal modelSocial relationPsychologyVariety (cybernetics)Class (philosophy)Scheme (mathematics)Machine learningOpinion Dynamics and Social InfluenceComplex Network Analysis TechniquesMisinformation and Its Impacts