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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

Creating baseline WNA questions

I often jot down questions that I have before doing any kind of analysis. This sets the context of what I am looking for and sets up a framework for me to pursue those answers.

In doing any kind of WNA, I am interested in finding answers to each of these questions:

  • How big is the network?
  • How complex is the network?
  • What does the network visually look like?
  • What are the most important nodes in the network?
  • Are there islands, or just one big continent?
  • What communities can be found in the network?
  • What bridges exist in the network?
  • What do the layers of the network reveal?

These questions give me a start that I can use as a task list for running through network analysis. This allows me to have a disciplined approach when doing network analysis, and not just chase my own curiosity. Networks are noisy and chaotic, and this scaffolding gives me something to use to stay focused.

Revised SNA questions

In...

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