ModularityStudy

Code supporting the paper "Katz-Eigenvector Centrality Community Detection"

Dependencies

python2.7, jupyter, matplotlib, cython, numpy, pandas, scipy, networkx, zen

Dockerfile is included if you wish to use Docker.

To build the container image:

docker build -t <container-name> path/to/directory/holding/the/dockerfile

To run the notebooks:

docker run -it --rm -v path/to/files:/home -p 8888:8888 <containter-name> jupyter-notebook --ip 0.0.0.0 --no-browser

Then open localhost:8888/tree in your browser, navigate to /home and open the notebook.

To run the python scripts:

docker run -it --rm -v path/to/files:/home <container-name>

A python terminal will open. To run amzn_product.py:

import os
os.chdir('/home')
import amzn_product
amzn_product.main()