This was one of my problem sets about the library networkx in ptython. This library is used to work with graphs that is used in network science.

This is a jupyter notebook, so in order to run this code you need to open it in google collab or jupyter notebook. In this problem set, I made some subgraphs and some projected graphs from the main graph of the problem. Also, I calculated the Pearson correlation, which indiactes the linear relationship of two variables. Furthermore, I generated a graph representing random walk.

Link to graph theory wikipedia

Link to Pearson correlation coefficient wikipedia

Link to Random Walk wikipedia

In this code I have used the following libraries:

networkx, pandas and numpy

You can easily install thesse libraries by the following command:

pip install [name of the library]

I hope you can use these examples to get familiar with networkx library.

Graph of the employees and their favorite movie:

A projected graph:

Graph of the random walk: