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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
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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

Introducing Natural Language Processing

Why in the world would a network analysis book start with Natural Language Processing (NLP)?! I expect you to be asking yourself that question, and it’s a very good question. Here is why: we humans use language and text to describe the world around us. We write about the people we know, the things we do, the places we visit, and so on. Text can be used to reveal relationships that exist. The relationship between things can be shown via network visualization. It can be studied with network analysis.

In short, text can be used to extract interesting relationships, and networks can be used to study those relationships much further. We will use text and NLP to identify relationships and network analysis and visualization to learn more.

NLP is very useful for creating network data, and we can use that network data to learn network analysis. This book is an opportunity to learn a bit about NLP and network analysis, and how they can be used together.

In explaining NLP at a very high level, we will be discussing the following topics:

  • What is NLP?
  • Why NLP in a network analysis book?
  • A very brief history of NLP
  • How has NLP helped me?
  • Common uses for NLP
  • Advanced uses of NLP
  • How can a beginner get started with NLP?
You have been reading a chapter from
Network Science with Python
Published in: Feb 2023
Publisher: Packt
ISBN-13: 9781801073691
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