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ABMcalibration-MLvsMSM

Hello! This project reproduces the results of the paper ``Likelihood-Based Methods Improve Parameter Estimation in Opinion Dynamics Models", WSDM 2024, Lenti J., Monti C., De Francisci Morales G.

  • notebook contains Jupyter notebooks: code that has been run at a specific point in time.
  • data contains all (raw and processed) data.
  • paper contains all figures, documents, presentations, related to this project.
  • src contains source files (e.g. *.py): code that is meant to be executed multiple times, in multiple notebooks.

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Python code of the paper "Likelihood-based Methods Improve Parameter Estimation in Opinion Dynamics Models".

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