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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

Centrality – finding key nodes

My interest in network science was, in part, inspired by my experience with hackerspaces and makerspaces. These spaces are member-run organizations that provide space and tools for do-it-yourself/technology/art projects. In 2009, I worked with several others in the Detroit area to start a space called i3 Detroit. During my time at i3 Detroit, I was struck by the creativity and innovation happening in i3 Detroit and other spaces, not just in the projects that were being created, but also in the unique types of volunteer-run, non-hierarchical organizations that were being developed. One of the keys to this innovation was the way ideas were spread within and between spaces. Ideas were spread from space to space by participants in national events and by members who went on hackerspace tours. Ideas were spread within spaces by the regulars who...

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