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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

Graph Construction and Cleaning

We have covered quite a lot of ground up to this point. In the previous chapters, we introduced NLP, network science, and social network analysis, and we learned how to convert raw text into network data. We even visualized a few of these networks. I hope that seeing text converted into a visualized network had the same impact on you as it did on me. The first time I attempted this, I used the book of Genesis, from the Bible, and being able to convert text from thousands of years ago into an actual interactive network took my breath away.

In the previous two chapters, we learned a few different ways to collect text data from websites and social networks on the internet and to use that text data to create networks. The good news is that I don’t need to show you more ways to scrape text. You have enough options, and you should be able to use this knowledge as a foundation for other kinds of scraping.

The bad news is that it is time to get...

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