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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

Conclusion

By now, you should have a good understanding of the fundamentals of using NetworkX for network science. This final chapter focuses on what you can do with that understanding. I will review the themes and techniques presented throughout this book and try to place them into a greater context. Network science is a genuinely exciting field, and I hope this book has managed to convey the excitement of doing network science with NetworkX.

Topics in this chapter include the following:

  • The practice of network science: Reviewing the topics covered throughout this book
  • Learning more: Where to go next if you'd like to continue learning about networks
  • Advances in network science: A sampling of some of the exciting ongoing work in network science
  • The impact of network science: Understanding the wide range of applications of network science, and their consequences for society...
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