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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

Product type Book
Published in Apr 2019
Publisher Packt
ISBN-13 9781789955316
Pages 190 pages
Edition 1st Edition
Languages
Author (1):
Edward L. Platt Edward L. Platt
Profile icon Edward L. Platt

Table of Contents (15) Chapters

Preface 1. What is a Network? 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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