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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 Small Scale - Nodes and Centrality

Network science can be used to understand systems not just in terms of which parts are connected, but also in terms of how their neighbors and their neighbor's neighbors. In other words, network science can be used to understand the structure of a networked system are connected. The following three chapters describe how network science is used to understand network structure at various scales. This chapter focuses on the small-scale, or micro-scale, structure. The micro-scale structure describes the positions and roles played by specific nodes within the greater network. Such analysis can be used to identify influential individuals, bottlenecks in flows, and convenient locations for assembling information or resources. These properties (and others) can be characterized using centrality measures, which quantify various structural properties...

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