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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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A primer on graphs

According to Innar Liiv, “Network science, sometimes considered a subfield of data science and sometimes an independent academic field, is a set of techniques, methods, and tools to study patterns in networked structures.” An example of a network is the image of the London underground map:

Figure 12.1 – An overview of Beck’s design for the London underground map (source: https://en.wikipedia.org/wiki/File:Beck_Map_1933.jpg found under fair use)

Figure 12.1 – An overview of Beck’s design for the London underground map (source: https://en.wikipedia.org/wiki/File:Beck_Map_1933.jpg found under fair use)

In our exploration of networks and graphs, we will use these terms interchangeably.

The study of networks has gained significant interest in recent years due to their ability to explain relationships between entities simply. As explained by Professor Matías Avila, “A network, also called a graph in the mathematical literature, is a collection of nodes where some pairs are connected by edges.

In this primer, we will explore fundamental concepts...

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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