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Data Science for Web3

You're reading from   Data Science for Web3 A comprehensive guide to decoding blockchain data with data analysis basics and machine learning cases

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Product type Paperback
Published in Dec 2023
Publisher Packt
ISBN-13 9781837637546
Length 344 pages
Edition 1st Edition
Languages
Concepts
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Author (1):
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Gabriela Castillo Areco Gabriela Castillo Areco
Author Profile Icon Gabriela Castillo Areco
Gabriela Castillo Areco
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Toc

Table of Contents (23) Chapters Close

Preface 1. Part 1 Web3 Data Analysis Basics
2. Chapter 1: Where Data and Web3 Meet FREE CHAPTER 3. Chapter 2: Working with On-Chain Data 4. Chapter 3: Working with Off-Chain Data 5. Chapter 4: Exploring the Digital Uniqueness of NFTs – Games, Art, and Identity 6. Chapter 5: Exploring Analytics on DeFi 7. Part 2 Web3 Machine Learning Cases
8. Chapter 6: Preparing and Exploring Our Data 9. Chapter 7: A Primer on Machine Learning and Deep Learning 10. Chapter 8: Sentiment Analysis – NLP and Crypto News 11. Chapter 9: Generative Art for NFTs 12. Chapter 10: A Primer on Security and Fraud Detection 13. Chapter 11: Price Prediction with Time Series 14. Chapter 12: Marketing Discovery with Graphs 15. Part 3 Appendix
16. Chapter 13: Building Experience with Crypto Data – BUIDL 17. Chapter 14: Interviews with Web3 Data Leaders 18. Index 19. Other Books You May Enjoy Appendix 1
1. Appendix 2
2. Appendix 3

Technical requirements

In this chapter, we will utilize the networkx library, a Python library that’s used for working with networks or graphs. It offers a range of tools and functions for creating, manipulating, and analyzing networks. This library facilitates node creation, adding information, and providing algorithms for analyzing and exploring networks, such as finding the shortest paths, calculating centrality measures, and detecting communities.

If you have not worked with networkx before, it can be installed using the following code snippet:

pip install networkx

The documentation for networkx can be found at https://networkx.org/documentation/stable/index.html.

We will also use Gephi, a free open source tool for graph plotting. Gephi is a user-friendly tool that’s designed for visualizing and exploring graphs and networks. It assists users in gaining insights and analyzing complex relationships within graph data.

With Gephi, we can import data from...

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