/secta

Stack Exchange Cross-Tag Analysis

Primary LanguagePythonMIT LicenseMIT

Stack Exchange Cross-Tag Analysis

Stack Exchange Cross-Tag Analysis is a small collection of Python scripts to automatically query the most popular tags from all main Stack Exchange sites, index them, and finally create a CSV file with all cross-tag occurences suitable for import into Gephi as well as a JSON file for visualizing the graph with D3.

Usage

Update

docker-compose run --rm secta /usr/src/app/update.py updates the JSON and CSV files in the www directory.

Visualize

docker-compose up -d serves the web visualization on port 8000.

Example Visualizations

D3

GephiExample Visualization

Gephi

GephiExample Visualization

This visualization is also available as PDF and GEPHI.

License

MIT