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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

Useful Python Libraries

In this chapter, I’m going to introduce several of the Python libraries we will be using in this book. I will describe what they are and how to install them, and give examples of a few useful things you can do with them. You do not have to memorize all of the capabilities of every Python library that you use, or thoroughly understand the internals of every single function that you use. It is important that you understand what libraries are available, what overall capabilities they have, and what critically important timesavers are in the library (this will keep you coming back for more). Everyone’s use case is different, and there is no way to memorize everything. I recommend that you internalize this point as quickly as possible, and learn what you need to when you need it. Learn about the internals in as much depth as you need.

To keep this organized, I am separating software libraries by category. Here are the libraries we will discuss:

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