You're reading from Network Science with Python Explore the networks around us using network science, social network analysis, and machine learning

Product type Paperback

Published in Feb 2023

Publisher Packt

ISBN-13 9781801073691

Length 414 pages

Edition 1st Edition

Languages

Python

Tools

PyTorch

Concepts

Machine Learning

Author (1):

David Knickerbocker

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Table of Contents (17) Chapters

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

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16. Other Books You May Enjoy

Technical requirements

This chapter will deal with a lot of the resources we will be using throughout the book.

All of the code can be found in the GitHub repository: https://github.com/PacktPublishing/Network-Science-with-Python.

The rest of the chapter is locked

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You're reading from Network Science with Python Explore the networks around us using network science, social network analysis, and machine learning

Table of Contents (17) Chapters

Technical requirements

Authors (1)

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