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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

Beyond the hairball

Pretty much any network analysis will include a visualization. Sometimes, they're even helpful. Visualizing networks is hard. They often contain more information than can fit on a page, and highly connected networks result in many edges crossing over each other. Too often, the result is a hairball, the affectionate name given to a network visualization that has too many densely packed connections to communicate anything meaningful. Creating a clear and meaningful network visualization requires understanding the available techniques and knowing when to apply them.

Different network layouts emphasize different properties. The force-directed layouts that have been used extensively in this book are good for visually identifying community structure, but can obscure individual relationships. Other methods, such as circular and shell layouts, are better for conveying...

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