Published February 7, 2024 | Version v1
Software Open

Robust Parameter Fitting to Realistic Network Models via Iterative Stochastic Approximation (Data and Code)

Authors/Creators

  • 1. ROR icon Karlsruhe Institute of Technology
  • 2. ROR icon Academic College of Tel Aviv-Yafo
  • 3. ROR icon Hasso Plattner Institute
  • 4. ROR icon École Polytechnique

Description

This is the data and code for the paper "Robust Parameter Fitting to Realistic Network Models via Iterative Stochastic Approximation".

The file konect-data.zip contains the real-world networks necessary for the experiments, while the file experiment-code.zip contains all code necessary for the experiments. The file output-data.zip contains all results of the experiment runs.

The code can also be found at https://github.com/PFischbeck/parameter-fitting-experiments.

Files

experiment-code.zip

Files (1.1 GB)

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md5:2f2e86d9f7ef6e5d4f8c3b5aaaa2af0b
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md5:f953e3e243d7d1c2b4dc0e569f85ac4e
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Additional details

Software

Repository URL
https://github.com/PFischbeck/parameter-fitting-experiments
Programming language
Python , R