shreesh5 / cse472-project1 Goto Github PK

This project visualizes a network of 10 prominent NBA players and 50 of their followers each. It calculates degree distribution, eigenvector centrality and betweenness centrality for the same. It was completed using: Python, NetworkX and NumPy.

Steps to Run Our Code:

---> To create a JSON file for your Twitter Credentials

1. Create a folder called Credentials
2. In the credentials.py file, replace the '*********' with your Twitter API keys
3. Run credentials.py to create a twitter_credentials.json file

---> To create the social_network.pkl and id_map.pkl

1. Run the python-twitter-scraper.py

---> To create the adjacency matrix and visualise the network graph

1. Run make_matrix.py

---> To calculate network measures

1. Run network_measures.py

---> Please Ignore the 'Old' folder

---> Our Id_map.pkl has 614 entries. We did not delete some of the old entries
we scraped earlier. However on re-running the code, this will get re-written