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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

Bridges, brokers, and bottlenecks – betweenness centrality

In the popular children's game Telephone, one player starts by whispering a message to another, who then whispers that message to another, and so on. At the end, the last player recites the message out loud. Typically, the final message bears no resemblance to the original. So, a message that began as "follow the funky flow" might end up as "if every pork chop were perfect, we wouldn't have hotdogs". Every time a message passes from person to person, it has the possibility of changing, possibly because it was misheard, or possibly because it was deliberately changed. In more complex social networks, such as organizations and social movements, the individuals who connect different parts of the network have the greatest ability to filter, amplify, and alter information. Such individuals...

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