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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

Listing nodes

The first thing I tend to do after constructing a network from text is to list the nodes that have been added to the network. This allows me to take a quick peek at the node names so that I can gauge the amount of cleanup I will need to do to remove and rename nodes. During our entity extraction, we had the opportunity to clean the entity output. The entity data is used to create the network data that is used to create the graph itself, so there are multiple steps during which cleanup and optimization are possible, and the more that you do upstream, the less that you have to do later.

However, it is still important to take a look at the node names, to identify any strangeness that still managed to find a way into the network:

  1. The simplest way to get a node list is to run the following networkx command:
    G.nodes

This will give you a NodeView:

NodeView(('Rabbit', 'Alice', 'Longitude', 'New Zealand', "Ma&apos...
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