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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
LinkedIn
David Knickerbocker is the chief engineer and co-founder of VAST-OSINT. He has over two decades of rich experience working with and around data in his career, with his focus being on data science, data engineering, software development, and cybersecurity.
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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

Further reading

  • Barabási, A.L. (2014). Linked. Basic Books.
  • Kurzweil, R. (2012). How to Create a Mind. Penguin Books.
  • Newman, M. (2018). Networks. Oxford University Press.
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Authors (1)

Profile icon David Knickerbocker
David Knickerbocker
LinkedIn icon Github icon
David Knickerbocker is the chief engineer and co-founder of VAST-OSINT. He has over two decades of rich experience working with and around data in his career, with his focus being on data science, data engineering, software development, and cybersecurity.
Read more
See other products by David Knickerbocker
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