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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

Summary

Social networks are one of the most compelling applications of network science. From the early days of sociometry to the more recent social network analysis, concepts from network science have helped uncover insights about groups of people and how they interact. Tie strength can be used to find weak ties that predict how communities might split and that enable information to spread across distant regions of a network. Small world networks resolve the paradox of small paths across networks of local connections. All of these structural properties have important implications for contagions: the spread of things such as ideas and diseases across groups of people. The concepts learned in this chapter are crucial for understanding how people behave and interact in groups. If you liked simulating contagions in this chapter, you'll love the next one! It's all about simulating...

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