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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

Summary

This chapter has described several of the visualization methods provided by NetworkX, as well as ways to use them effectively. The circular layout is a clear and simple option for smaller networks. Maintaining much of the clarity of the circular layout, the shell layout can visualize more nodes in the same space and can convey centrality information. Finally, the force-directed layout can handle large networks and communicate community structure, although it is sometimes necessary to apply additional techniques to focus on particular subsets of edges. Our network adventure is now drawing to a close. The next and final chapter reviews the themes of this book, and offers some suggestions for additional resources.

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