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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

The force-directed layout

The force-directed layout is a great visualization for many networks, and is a good go-to for your first visualization of a network. It works by repeatedly pushing all nodes apart and then pulling connected nodes back toward each other. It is benefits include the following:

  • Accommodates large networks
  • Clearly conveys community structure

However, the force-directed layout is also one of the most hairball-prone methods, particularly if there is one large community pulling all nodes together. It works best in sparser networks with multiple communities.

In Chapter 3, From Data to Networks, we saw that a default force-directed layout of the Frankenstein word co-occurrence network wasn't particularly informative. Now, we'll return to that example to demonstrate ways to focus on different aspects of a network and reduce clutter. The code to load...

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