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Python Data Science Essentials

You're reading from   Python Data Science Essentials Become an efficient data science practitioner by thoroughly understanding the key concepts of Python

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Product type Paperback
Published in Apr 2015
Publisher Packt
ISBN-13 9781785280429
Length 258 pages
Edition 1st Edition
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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

Internet network

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 chains

Directed

Status

Emission probability

All the preceding examples can be expressed as relations between nodes like in a traditional RDBMS, such as...

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