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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

Advances in network science

Networks and network science continue to be an exciting area of ongoing research. Here's a small sampling of some of the interesting work that's going on right now:

  • Multiple membership community detection: When nodes can belong to several communities
  • Multiple edge types: Working with networks with several distinct edge types
  • Collaborations and shocks: How social networks influence collaboration, and how networks change during major events
  • Predicting virality: Understanding how and why certain ideas and content spread
  • Connectomes: Understanding the brain by studying networks of neurons or brain regions
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