Complex Network Analysis in Python

by Dmitry Zinoviev

Construct, analyze, and visualize networks with networkx, a Python language module. Network analysis is a powerful tool you can apply to a multitude of datasets and situations. Discover how to work with all kinds of networks, including social, product, temporal, spatial, and semantic networks. Convert almost any real-world data into a complex network—such as recommendations on co-using cosmetic products, muddy hedge fund connections, and online friendships. Analyze and visualize the network, and make business decisions based on your analysis. If you’re a curious Python programmer, a data scientist, or a CNA specialist interested in mechanizing mundane tasks, you’ll increase your productivity exponentially.

Genres: Programming, Computer Science, Science, Reference

222 pages, Paperback

Published February 10, 2017

About the author

Dmitriy is full professor of Mathematics & Computer Science in Suffolk University / Boston

Reviews

[Federico Lucifredi · Rating 5 out of 5]

The author unwinds the myriad of Python tools available to plot graphs of all sorts — potentially saving you days of experimenting to learn what is possible yourself, or weeks if you have performance requirements or your graphs have hundreds of thousands of edges.

Encompassing what the tools do, how performant they are, and what are their limits, this book is amazing just as an introduction to the technology. Detailed, but easy to follow and replete with useful information, this book is a great way to bootstrap in graph plotting. Add to that the crash course in network analysis, and you will learn something along the way that may (or may not, as in my case) be the reason why you are reading. Six stars!

[Jakub Furmaga · Rating 5 out of 5]

Good book

I am new to graph databases and this book was a great introduction. It provides a lot of concrete examples along with Python code which I can use while building my own project.

[Bilal]

gravitational centrality

[Cara · Rating 5 out of 5]

This book is a great resource for anyone learning about network analysis in Python. Definitely recommend it!

[Ilya · Rating 5 out of 5]

It's definitely a page-turner for those who work with data: data analysts, data scientists etc.

[Steve · Rating 5 out of 5]

Fantastic book. Well written, easy to understand and follow. Great reference for understanding complex network analysis and creation.

[Antonin Sulc · Rating 5 out of 5]

Excellent and minimalistic introduction. This is exactly how textbooks in Python about advanced topics should looks like!

[Johnny · Rating 5 out of 5]

If you want to use graphs to solve a problem in Python, this book is a must read. You will learn how to model your problem as a graph and what possibilities you have to analyse it. The book dives deep down to the underlining concepts and you will find a solution for all your questions. The only thing that this book does not cover is an introduction into graph theory itself. For that you should look elsewhere.

[Cara · Rating 5 out of 5]

This book is an excellent resource for anyone learning how to perform network analysis in Python. Examples are clear and explanations abound. A great reference book!