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Network Science with Python

You're reading from   Network Science with Python Explore the networks around us using network science, social network analysis, and machine learning

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Product type Paperback
Published in Feb 2023
Publisher Packt
ISBN-13 9781801073691
Length 414 pages
Edition 1st Edition
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Author (1):
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David Knickerbocker David Knickerbocker
Author Profile Icon David Knickerbocker
David Knickerbocker
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Table of Contents (17) Chapters Close

Preface 1. Part 1: Getting Started with Natural Language Processing and Networks
2. Chapter 1: Introducing Natural Language Processing FREE CHAPTER 3. Chapter 2: Network Analysis 4. Chapter 3: Useful Python Libraries 5. Part 2: Graph Construction and Cleanup
6. Chapter 4: NLP and Network Synergy 7. Chapter 5: Even Easier Scraping! 8. Chapter 6: Graph Construction and Cleaning 9. Part 3: Network Science and Social Network Analysis
10. Chapter 7: Whole Network Analysis 11. Chapter 8: Egocentric Network Analysis 12. Chapter 9: Community Detection 13. Chapter 10: Supervised Machine Learning on Network Data 14. Chapter 11: Unsupervised Machine Learning on Network Data 15. Index 16. Other Books You May Enjoy

Whole Network Analysis

In previous chapters, we spent a lot of time covering how networks can be constructed using text and how cleanup can be done on networks. In this chapter, we are moving on to whole network analysis. For the sake of simplicity, I will call it WNA. WNA is done to get the lay of the land, to understand the denseness of a network, which nodes are most important in various ways, which communities exist, and so forth. I’m going to cover material that I have found useful, which is a bit different from what is found in most social network analysis (SNA) or network science books. I do applied network science every day, and my goal is to showcase some of the options that are available to allow readers to very quickly get started in network analysis.

Network science and SNA are both very rich topics, and if you find any section of this chapter especially interesting, I encourage you to do your own research to learn more. Throughout this book, I will reference...

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