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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

Networks in Space and Time

Throughout this book so far, nodes have existed outside of any particular time or space. In visualizations, nodes have been placed on a two-dimensional space (pages), but only because it would be difficult to tell them apart if they were all on top of each other. In some cases, nodes truly are associated with a particular spatial location or a particular time. In these cases, additional techniques can be helpful for visualizing and analyzing networks. This chapter describes some of the special techniques needed for networks in space and time and applies them to real-world examples, including airports and links on Wikipedia.

Topics in this chapter include the following:

  • Locations and events: Explaining how networks can be used to represent data with temporal and spatial properties
  • Networks in space: Visualizing and analyzing relationships between locations...
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