An analysis and visualization of collaboration between top GitHub repositories, focused on the relationship between programming languages used and the network structure.

Interactive visualization:

More information and the full analysis: PDF report

• This is my final project for Social Network Analysis, and entry in the GitHub Data Challenge.
• Created using igraph, Gephi and sigma.js.
• Thanks to @frewsxcv and @ThePicard for their help.

• From Google BigQuery:
  • repo-attributes.sql creates repo-attributes.csv
  • repo-weights.sql creates repo-weights.csv
• The process.py script reads both .csv files and creates repositories.gml
• Gephi loads repositories.gml and creates:
  • repositories*.pdf to be included in the report
  • repositories.json for sigma.js
• Python code within analysis-*.texw reads repositories.gml and produces output for the report