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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

Learning more

While I have tried to be as broad as possible in introducing the fundamental concepts of network science, I have, no doubt, forgotten many things (including where I put several sets of earbuds). Furthermore, there has been an immense amount of work on each of the topics introduced here. So, if you've made it this far and want more, there is a lot more to learn.

There are many great resources for learning about network science. Some are listed as follows, including books, textbooks, and websites. For a more advanced understanding of network science, I highly recommend studying linear algebra, the type of mathematics used in the formal study of networks:

  • Watts, D. J. (2004). Six degrees: The science of a connected age. WW Norton & Company
  • Barabasi, A. L. (2003). Linked: How everything is connected to everything else and what it means
  • Easley, D., & Kleinberg...
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