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Mastering Gephi Network Visualization

You're reading from   Mastering Gephi Network Visualization Produce advanced network graphs in Gephi and gain valuable insights into your network datasets

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Product type Paperback
Published in Jan 2015
Publisher
ISBN-13 9781783987344
Length 378 pages
Edition 1st Edition
Tools
Concepts
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Table of Contents (13) Chapters Close

Preface 1. Fundamentals of Complex Networks and Gephi FREE CHAPTER 2. A Network Graph Framework 3. Selecting the Layout 4. Network Patterns 5. Working with Filters 6. Graph Statistics 7. Segmenting and Partitioning a Graph 8. Dynamic Networks 9. Taking Your Graph Beyond Gephi 10. Putting It All Together A. Data Sources and Other Web Resources Index

Chapter 4. Network Patterns

One of the most critical roles of networks is their use in identifying various behaviors, regardless of whether they originate from social networks, disease tracking, idea diffusion, or any one of many other sources. There is a large and growing body of literature dedicated to network analysis that can be applied to a wide range of behavior across multiple realms, merging theory with real life examples to help you provide solutions to critical needs.

In this chapter, we will initially examine several of the most critical concepts, providing general overviews as well as external resources that examine each of these concepts more thoroughly. The topics covered in this chapter are as follows:

  • Contagion and diffusion
  • Clustering and homophily
  • Network growth patterns
  • Using Gephi generators
  • Viewing a contagion network
  • Viewing network diffusion
  • Identifying homophily

After covering the theoretical foundations, we'll then move onto how to identify and apply these...

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