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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

The impact of network science

As the world becomes increasingly interconnected, network science is proving to be a useful tool for understanding those connections. Network science is used regularly to do the following:

  • Predict and prevent the spread of contagious diseases
  • Evaluate and improve the electric grid, road network, and other infrastructure networks
  • Understand the economics of international trade
  • Understand the spread of information on social media

The preceding applications might give the impression that network science is an important tool for improving society, and it absolutely can be. However, the powerful techniques of network science also raise important ethical questions. Network techniques can be used to infer information about individuals—such as their political party or sexual orientation—without that individuals consent. Similarly, network...

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