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You're reading from  Data Science for Web3

Product typeBook
Published inDec 2023
PublisherPackt
ISBN-139781837637546
Edition1st Edition
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Gabriela Castillo Areco
Gabriela Castillo Areco
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Gabriela Castillo Areco

Gabriela Castillo Areco holds an M.Sc. in big data science from the TECNUM School of Engineering, University of Navarra. With extensive experience in both the business and data facets of blockchain technology, Gabriela has undertaken roles as a data scientist, machine learning analyst, and blockchain consultant in both large corporations and small ventures. She served as a professor of new crypto businesses at Torcuato di Tella University and is currently a member of the BizOps data team at IOV Labs.
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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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Data Science for Web3
Published in: Dec 2023Publisher: PacktISBN-13: 9781837637546

Author (1)

author image
Gabriela Castillo Areco

Gabriela Castillo Areco holds an M.Sc. in big data science from the TECNUM School of Engineering, University of Navarra. With extensive experience in both the business and data facets of blockchain technology, Gabriela has undertaken roles as a data scientist, machine learning analyst, and blockchain consultant in both large corporations and small ventures. She served as a professor of new crypto businesses at Torcuato di Tella University and is currently a member of the BizOps data team at IOV Labs.
Read more about Gabriela Castillo Areco