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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? 2. Working with Networks in NetworkX FREE CHAPTER 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

Visualization

Network visualizations are some of the most powerful tools for communicating information about relationships and connections. The vast amount of information in many networks can make it tricky to create clear visualizations, sometimes resulting in confusing hairballs. NetworkX is capable of producing many types of visualizations, going well beyond those seen in this book so far. This chapter covers some more advanced visualization techniques, including additional layouts and methods for focusing on the most important parts of a network.

The topics in this chapter include the following:

  • Beyond the hairball: Understanding what makes a good visualization, the challenges of visualizing networks, and general approaches for addressing those challenges
  • Circular layout: A simple method for visualizing smaller networks
  • Shell layout: A technique for visualizing centrality...
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