NetworkX: A Practical Introduction to Graph Analysis in Python

Dr. Soumen Atta, Ph.D.
11 min readMar 21, 2023
Photo by Nastya Dulhiier on Unsplash

In the world of data science, analyzing and visualizing complex networks is a critical task. That’s where NetworkX, a powerful Python library for working with graphs and networks, comes into play. With NetworkX, you can create, manipulate, and analyze graphs, and visualize them in a variety of customizable ways. Whether you’re analyzing social networks, transportation networks, or biological networks, NetworkX provides the functionality you need to get the job done.

In this tutorial, we’ll cover the basics of using NetworkX, from creating graphs to analyzing them and visualizing them in meaningful ways. By the end of this tutorial, you’ll be well on your way to mastering graph analysis with NetworkX.

Outline

Here’s an outline of this tutorial on NetworkX:

1. Introduction to NetworkX

  • What is NetworkX?
  • Why use NetworkX?
  • Installation and setup

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Dr. Soumen Atta, Ph.D.

Assistant Professor, Center for Information Technologies and Applied Mathematics, School of Engineering and Management, University of Nova Gorica, Slovenia