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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? 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 13. Other Books You May Enjoy Appendix

Social Networks and Going Viral

Network analysis is often used to understand the behavior of groups of people. Relationships within a group of people form a kind of network—a social network. Social networks are some of the longest-studied in network science, and provide some of the results most directly applicable to everyday life. This chapter will introduce you to the elementary results in social network analysis.

Topics in this chapter include the following:

  • Social networks: The history of social networks in network science
  • Strong and weak ties: How to interpret and quantify the intensity of relationships
  • The small world problem: Understanding how very large networks can be spanned by relatively short paths
  • Contagion: How information, diseases, and anything else spreads over networks
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