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Agent-Based-Modelling Approach to model influence of Social Media/ Internet on Opinion Vocalization

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ABM_media

Agent-Based-Modelling approach on the influence of the Internet and Social Media on opinion formation and vocalization.

The work consists of 4 python-files and one R-file:

Python:

  • abm.py
  • plotting_1000agents.py
  • exportToCSV.py
  • extremists.py

R:

  • analyses.R

Usage:

  • abm.py is used to define classes, run the model and save the information throughout the runs in .pkl files.
  • The plotting file then load this information and produce meaningful plots.
  • exportToCSV.py then exports the stored .pkl files to .csv files to be used in R.
  • extremists.py extracts information about extreme opinion holders and exports them to a .csv file to load in R.
  • the R-File then load the .csv files produced by exportToCSV.py and conduct descriptive analysies and linear models.

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Agent-Based-Modelling Approach to model influence of Social Media/ Internet on Opinion Vocalization

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