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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

Application of statistical measures


In this final section of the chapter, we're going to apply many of the statistics we've just reviewed to our school classroom data and begin to gain a greater understanding of the network beyond our earlier visual assessments. Even better, we will use the power of filtering in tandem with the graph statistics to begin using Gephi in an even more sophisticated fashion. We'll start this section with some fairly straightforward examples, and then move on to more complex analysis using the available filtering options.

Basic statistical applications

We're going to work once again with the primary school dataset as we will illustrate the practical application of many of these statistics. We'll proceed in the following order:

  • The first section will apply some of the network-oriented measures that will inform us about the general structure of the graph

  • Our second section will view several of the centrality statistics and compare how individual nodes are classified...

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