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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

Removing nodes

The next thing we will do is remove nodes that have made it into the network by mistake, usually as a result of false positives from pos_tagging or NER. You may see me refer to these nodes as “bad” nodes. I could as easily refer to them as “unwanted” nodes, but the point is that these are nodes that do not belong and should be removed. For simplicity, I call them bad nodes.

One reason to remove nodes is to clean a network so that it closely matches reality or the reality described in a piece of text. However, removing nodes can also be useful, for simulating an attack. We could, for instance, remove key characters from the Alice in Wonderland social network, to simulate what the outcome would be if the Queen of Hearts had gotten her wish of executing several characters. We will do that in this chapter.

Simulating an attack is also useful for bolstering defenses. If a node is a single point of failure and if its removal would be catastrophic...

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