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Opinion model that simulates how individuals, influencers and media interact on social media platforms. The model is formulated as an agent-based model and by a PDE-approximation. Different strategies of influencers and media can be studied.

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SocialMediaModel

This repository contains the Julia code accompanying the paper "Modelling opinion dynamics under the impact of influencer and media strategies".

Components

In particular, the repository contains:

  • the agent-based formulation (ABMsolve()) and the PDE approximation (PDEsolve()) of an opinion model that models how individuals, influencers and media interact on social media platforms
  • plotting functions (in plotting.jl)
  • code to perform ensemble simulations (ABMsolveensemble() and PDEsolveensemble)
  • methods to study optimal strategies of influencers and media with PDEsolveopt().

Usage

To use the package in Julia, it has to be installed with Pkg.add https://github.com/LuzieH/SocialMediaModel and then imported with using SocialMediaModel. Most functions are exported, so instead of calling SocialMediaModel.ABMsolve(), they can simply be called with ABMsolve(). Tests can be run with runtests().

Citation

If you use this code in your work, we politely ask you to acknowledge it in your manuscript by citing:

  1. Helfmann, L., Djurdjevac Conrad, N., Lorenz-Spreen, P., & Schütte, C. (2023). Supplementary code for the paper Modelling opinion dynamics under the impact of influencer and media strategies. DOI: 10.12752/9267
  2. Helfmann, L., Djurdjevac Conrad, N., Lorenz-Spreen, P., & Schütte, C. (2023). Modelling opinion dynamics under the impact of influencer and media strategies. Scientific Reports, 13(1), 19375. DOI: 10.1038/s41598-023-46187-9

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Opinion model that simulates how individuals, influencers and media interact on social media platforms. The model is formulated as an agent-based model and by a PDE-approximation. Different strategies of influencers and media can be studied.

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