IDS-1

This repo is meant to analyse the Ringelmann effect on different-sized co-editing networks, as found in git repos.

main.ipynb contains code for manually building a multiple linear regression analysis.

visualization.ipynb contains all the code to visualize the mined data (the code snippets orginate from the git2net tutorial)

main_tlp.ipynb contains code for building a multiple linear regression analysis of the git2net-mined tlp-repo with statsmodels.

main_hello-world.ipynb contains code for building a multiple linear regression analysis of the git2net-mined hello-world-repo withstatsmodels.

main_architecture.ipynb contains code for building a multiple linear regression analysis of the git2net-mined android-architecture-repo with statsmodels.

main_nginx.ipynb contains code for building a multiple linear regression analysis of the git2net-mined nginx-proxy-repo with statsmodels.

Usage

• Install the git2net package (pip install git2net)
• Git clone the desired repo that you wish to analyse the co-editing network of.
  • For main_nginx.ipynb the repo https://github.com/jwilder/nginx-proxy.git was used
  • For main_architecture.ipynb the repo https://github.com/android/architecture-samples.git was used
  • For main_tlp.ipynb the repo https://github.com/linrunner/TLP.git was used
  • For main_hello-world.ipynb the repo https://github.com/leachim6/hello-world.git was used
• Pick one of the main codes.. the above ones are fitted for chosen repos.
• Mine the repo by uncommenting the mining block in the main code and specifying repo_dir (location of stored git repo) and sqlite_db_file (location of database file that will be mined in the main code.).
• Run the main code and analyse in respect to the Ringelmann effect.