You're reading from Python Data Science Essentials. - Third Edition

Product typeBook

Published inSep 2018

Reading LevelIntermediate

PublisherPackt

ISBN-139781789537864

Edition3rd Edition

Languages

Python

Tools

Scikit-learn

Concepts

Data Science

Author (1)

Alberto Boschetti

Introduction to graph theory

Basically, a graph is a data structure that's able to represent relations in a collection of objects. Under this paradigm, the objects are the graph's nodes and the relations are the graph's links (or edges). The graph is directed if the links have an orientation (conceptually, they're like the one-way streets of a city); otherwise, the graph is undirected. In the following table, examples of well-known graphs are provided:

Graph example	Type	Nodes	Edges
World Wide Web	Directed	Web pages	Links
Facebook	Undirected	People	Friendship
Twitter	Directed	People	Follower
IP network	Undirected	Hosts	Wires/Connections
Navigation systems	Directed	Places/Addresses	Streets
Wikipedia	Directed	Pages	Anchor links
Scientific literature	Directed	Papers	Citations
Markov...

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Python Data Science Essentials. - Third Edition

Published in: Sep 2018Publisher: PacktISBN-13: 9781789537864

Author (1)

Alberto Boschetti

Alberto Boschetti is a data scientist with expertise in signal processing and statistics. He holds a Ph.D. in telecommunication engineering and currently lives and works in London. In his work projects, he faces challenges ranging from natural language processing (NLP) and behavioral analysis to machine learning and distributed processing. He is very passionate about his job and always tries to stay updated about the latest developments in data science technologies, attending meet-ups, conferences, and other events.
Read more about Alberto Boschetti

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