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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

Affiliation Networks

Edges represent connections or relationships between two nodes and only those two nodes, but some relationships involve more than two nodes. Typically, such relationships take the form of multiple nodes belonging to a common group or sharing a common affiliation. This relationship structure can be set up by adding a second type of node representing the groups or affiliations. Such networks are called affiliation networks. This chapter describes how to work with complex relational data using affiliation networks, as well as how affiliation networks are represented and manipulated in NetworkX.

The topics that are covered in this chapter include the following:

  • Nodes and affiliations: How data with complex relationships can be represented by affiliation networks and how to recognize an affiliation network structures
  • Affiliation networks in NetworkX: How to create...
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