Code and datasets of the dissertation 'Behaviour and Stability of Interconnected Systems: From Biological Applications to Opinion Dynamics' (dataset)

Code and datasets of the dissertation 'Behaviour and Stability of Interconnected Systems: From Biological Applications to Opinion Dynamics'

doi: 10.4121/1fbd5ecd-d0af-4b77-a28a-0aca7b38f45f.v2

The doi above is for this specific version of this dataset, which is currently the latest. Newer versions may be published in the future. For a link that will always point to the latest version, please use
doi: 10.4121/1fbd5ecd-d0af-4b77-a28a-0aca7b38f45f

Datacite citation style:

Devia Pinzon, Carlos Andres (2023): Code and datasets of the dissertation 'Behaviour and Stability of Interconnected Systems: From Biological Applications to Opinion Dynamics'. Version 2. 4TU.ResearchData. dataset. https://doi.org/10.4121/1fbd5ecd-d0af-4b77-a28a-0aca7b38f45f.v2

Other citation styles (APA, Harvard, MLA, Vancouver, Chicago, IEEE) available at Datacite

Dataset

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version 2 - 2023-05-24 (latest)

version 1 - 2023-04-05

usage stats

196

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downloads

categories

keywords

agent-based model, Agreement Plot, Bounded Confidence, classification-based model, conformism, French-DeGroot, Friedkin-Johnsen, opinion formation, Qualitative Outcome Likelihood, radicalism, stubbornness, Transition Tables

licence

MIT

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by Carlos Andres Devia Pinzon

This .zip file contains the code and data necessary to reproduce the results presented in the PhD dissertation 'Behaviour and Stability of Interconnected Systems: From Biological Applications to Opinion Dynamics'. The code is divided in five directories. Each directory has instructions on how to reproduce the corresponding results. The README also provides information on how to run the code.There is also a Excel file that explains the contents and origin of the most relevant datasets. The broad research objective is to undercover the mechanisms of opinion formation in large-scale populations. To do this, different opinion formation models are simulated, the resulting data gathered and analysed. All the code is in .m Matlab scripts, and the data is in .mat Matlab files.

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