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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

From Data to Networks

To analyze a system using NetworkX, that system must first be modeled as a network, and then be represented as an object within NetworkX. This chapter explains the basic process of creating network representations of data. The first section covers the part of the process that takes place in your head: modeling data as a network. The remaining sections demonstrate the part of the process that happens in code: creating a NetworkX Graph from data, using two different methods. In the first method, data is reformatted into one of the standard network formats supported by NetworkX. In the second method, for more complex data, a network is created from scratch, by using code to add nodes and edges one at a time.

In this chapter, we will cover the following topics:

  • Modeling data: Giving meaning to nodes and edges
  • Network files: Saving your networks to files
  • Networks...
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