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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

In-Between - Communities

Larger than individual nodes, but smaller than entire networks, the medium-scale or meso-scale structure of a network characterizes groups of nodes—called communities—and their interrelations. NetworkX provides many tools for analyzing community structure. This chapter uses data from an online social network to demonstrate medium-scale network analysis with NetworkX.

Topics in this chapter include the following:

  • Communities: How nodes cluster into densely connected groups
  • Community detection: How to identify communities of nodes and partition networks
  • Cliques: How to understand networks by finding the most highly-connected components
  • K-Cores: How to simplify networks by focusing on the most highly-connected nodes
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