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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

The Big Picture - Describing Networks

Large-scale structures can vary widely from network to network. These differences are often indicative of different types of networks (for example, social versus technological). Large-scale structures can also have important implications for functional properties, such as resilience to errors and attack. This chapter describes a variety of structural measures used to classify entire networks. Examples are given for a selection of real-world networks from different types of systems.

Topics covered in this chapter include the following:

  • Global structure: Understanding the properties of whole networks
  • Diameter and shortest paths: How to measure the size of a network
  • Global clustering: Using clustering to quantify interconnections between neighbors of neighbors
  • Resilience: How properties such as density and minimum cut can quantify error and...
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