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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
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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 6. Graph Statistics

While much of the work we do with graph analysis is visually oriented, there are still some critical ways to assess networks that rely more heavily on calculated measures. These measures can help us to add some hard numbers to our existing graph and begin to compare elements both within a network as well as across networks.

Graph statistics come in many flavors and can be used to assess multiple aspects of a network, giving us additional support beyond the visual analysis we might already have done. In this chapter, we'll take a tour through many of the statistical measures available in Gephi in the following order:

  • We'll start with a general overview of graph statistics and learn how and why they are critical to understanding the structure of our network.
  • Next, we'll focus on interpreting many of the statistical measures using the Gephi Statistics tab.
  • Finally, we'll spend a significant portion of the chapter working with some network...
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