The visualization can be seen here. The static files used for the visualization can be seen on the gh-pages
branch.
This test data was generated with Python 2.7.10. Use virtualenv as follows:
virtualenv pythonenv
source pythonenv/bin/activate
Then, install required packages (SQLAlchemy for the database and igraph for random graph generation):
pip install -r requirements.txt
Then, run the data generation script:
python generate_data.py
This will create users.db
, a SQLite database containing users and their connections, and graph.json
, a json blob with nodes and links ready to be visualized in d3.