Search icon CANCEL
Subscription
0
Cart icon
Your Cart (0 item)
Close icon
You have no products in your basket yet
Arrow left icon
Explore Products
Best Sellers
New Releases
Books
Videos
Audiobooks
Learning Hub
Conferences
Free Learning
Arrow right icon
Arrow up icon
GO TO TOP
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

Arrow left icon
Product type Paperback
Published in Apr 2019
Publisher Packt
ISBN-13 9781789955316
Length 190 pages
Edition 1st Edition
Languages
Arrow right icon
Author (1):
Arrow left icon
Edward L. Platt Edward L. Platt
Author Profile Icon Edward L. Platt
Edward L. Platt
Arrow right icon
View More author details
Toc

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

Watts-Strogatz and small worlds

The small-world problem (discussed in Chapter 8, Social Networks and Going Viral) asks how it is possible for distant people to be connected by short paths, even when everyone's connections are local (Travers & Milgram, 1967). Duncan Watts and Steven Strogatz (1998) developed a class of networks to explain this behavior. The networks begin as k-rings: nodes placed around a circle, with each node connected to its nearest k neighbors. Then, with probability p, each node's edges are moved to a randomly selected other node. These rewirings create shortcuts across the network. Even a small number of shortcuts greatly reduces the distances between nodes in the network, resolving the small-world problem.

The following code uses the NetworkX function watts_strogatz_graph() to generate Watts-Strogatz small-world networks with p=0, p=0.1, and...

lock icon The rest of the chapter is locked
Register for a free Packt account to unlock a world of extra content!
A free Packt account unlocks extra newsletters, articles, discounted offers, and much more. Start advancing your knowledge today.
Unlock this book and the full library FREE for 7 days
Get unlimited access to 7000+ expert-authored eBooks and videos courses covering every tech area you can think of
Renews at $19.99/month. Cancel anytime
Banner background image