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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

The small world problem

In 1967, the social psychologists Jeffrey Travers and Stanley Milgram sent letters to groups of people in Wichita, Kansas, and Omaha, Nebraska. They also chose a single target individual in Massachusetts. Each letter recipient was instructed to forward their letter to an acquaintance who was most likely to know the target individual. Many of the letters reached the target, and the researchers were able to find out how many steps it took. The medium number of hops was six, hence, the common phrase six degrees of separation.

Ring networks

Typically, most of an individual's acquaintances are others who live in the same area. If every individual was only acquainted with others who lived near them,...

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