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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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 Platt Platt
Author Profile Icon Platt
Platt
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Table of Contents (20) Chapters Close

Title Page
Copyright and Credits
Dedication
About Packt Contributors 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 1. Appendix 2. Other Books You May Enjoy

About the author

Edward L. Platt creates technology for communities and communities for technology. He is currently a researcher at the University of Michigan School of Information and the Center for the Study of Complex Systems. He has published research on large-scale collective action, social networks, and online communities. He was formerly a staff researcher at the MIT Center for Civic Media. He contributes to many free/open source software projects, including tools for media analysis, network science, and cooperative organizations. He has also done research on quantum computing and fault tolerance. He has an M.Math in Applied Mathematics from the University of Waterloo, as well as B.S degrees in both Computer Science and Physics from MIT.

Many thanks to Andy Brosius for sharing their life and family with me, and for their incredible understanding and support while writing this book. Thanks to Persephone Hernandez-Vogt for their companionship and encouragement. Thanks to my editors at Packt, in particular Sandeep Mishra, for helping make this book a reality. Thanks to my Ph.D. advisor, Daniel Romero, for his mentorship and patience. And thanks to all of the NetworkX contributors.

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