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Network Science with Python and NetworkX Quick Start Guide

You're reading from   Network Science with Python and NetworkX Quick Start Guide Explore and visualize network data effectively

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Product type Paperback
Published in Apr 2019
Publisher Packt
ISBN-13 9781789955316
Length 190 pages
Edition 1st Edition
Languages
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Author (1):
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Edward L. Platt Edward L. Platt
Author Profile Icon Edward L. Platt
Edward L. Platt
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Table of Contents (15) Chapters Close

Preface 1. What is a Network? FREE CHAPTER 2. Working with Networks in NetworkX 3. From Data to Networks 4. Affiliation Networks 5. The Small Scale - Nodes and Centrality 6. The Big Picture - Describing Networks 7. In-Between - Communities 8. Social Networks and Going Viral 9. Simulation and Analysis 10. Networks in Space and Time 11. Visualization 12. Conclusion 13. Other Books You May Enjoy Appendix

Appendix

The branch of mathematics studying networks is called graph theory. Graph and network are more or less two words for the same thing, but mathematicians can be picky about exact definitions. A graph is composed of two parts: a set of things called vertices and a set of edges representing connections between those vertices.

What is a vertex? It's a mathematical object whose sole purpose is to be connected to other vertices. In other words, it's pretty much the same thing as a node. In order to tell vertices apart, it is necessary to give them some kind of label. These labels could be anything, but let's call them v1, v2, and so on. It's a common convention to call a set of vertices V. Mathematically, this can be written using the following set notation, where N is the number of vertices in V:

V = {v1, v2, ..., vN},

Connections between vertices are called...

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