Article
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Mathematical Programming for the Dynamics of Opinion Diffusion
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All the authors contributed equally to this work.
Version 1
: Received: 6 July 2023 / Approved: 7 July 2023 / Online: 7 July 2023 (10:38:58 CEST)
A peer-reviewed article of this Preprint also exists.
Ellero, A.; Fasano, G.; Favaretto, D. Mathematical Programming for the Dynamics of Opinion Diffusion. Physics 2023, 5, 936-951. Ellero, A.; Fasano, G.; Favaretto, D. Mathematical Programming for the Dynamics of Opinion Diffusion. Physics 2023, 5, 936-951.
Abstract
The focus of this paper is on analyzing the role and the choice of parameters in sociophysics diffusion models, by leveraging the potentialities of sociophysics from a mathematical programming perspective. We first present a generalised version of Galam’s opinion diffusion model (see, e.g. , ). For a given selection of the coefficients in our model, this proposal yields the original Galam’s model. The generalised model suggests guidelines for possible alternative selection of its parameters that allow to foster diffusion. Examples of the parameters selection process as steered by numerical optimisation, taking into account various objectives, are provided.
Keywords
Sociophysics; Stochastic Models; Galam’s Diffusion Model; Mathematical Programming; Parameter Optimisation
Subject
Physical Sciences, Other
Copyright: This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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