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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

Nodes and affiliations

In the game Six Degrees of Kevin Bacon, perhaps the most widely-known application of network science principles, the goal is to find a link between a given actor and the actor Kevin Bacon. For example, Jon Hamm can be connected to Kevin Bacon as follows: Jon Hamm was in Bridesmaids with Rose Byrne, who was in X-Men: First Class, with Kevin Bacon. This game takes place on a network. In one version of the network, nodes represent actors and edges represent movies that two actors both appeared in. This version of the network (let's call it the actor-actor network) is sufficient for finding Kevin Bacon, but it doesn't fully represent the relationships between actors and movies. Movies typically have a cast of many actors, but each edge in the actor-actor network only corresponds to two actors. Consequently, there need to be many edges for each movie...

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