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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

Renaming nodes

This network looks good enough that we might be tempted to just call it a day on our cleaning efforts. However, there is a bit more that we need to do, especially for the White Rabbit, but also for a few other characters. I can see three nodes having to do with the White Rabbit:

  • the White Rabbit
  • Rabbit
  • The Rabbit Sends

If we rename all three of these nodes White Rabbit, then they will be combined into a single node, and their edges will also be correctly connected. There are a few other nodes that should be renamed as well. Here is how to rename nodes:

relabel_mapping = {'Cheshire':'Cheshire Cat', 'Hatter':'Mad Hatter', 'Rabbit':'White Rabbit','William':'Father William', 'the White Rabbit':'White Rabbit', 'The Rabbit Sends':'White Rabbit', 'Bill':'Lizard Bill', 'Lizard':'Lizard Bill'...
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