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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

Partitioning and clustering examples


Over the next few sections we'll walk through multiple examples using a single dataset, starting with the basic partitioning approach, followed by each of our clustering techniques discussed a moment ago. We'll then conclude the section with a recap of what we learned from these examples.

Partitioning

In the next several pages, we will look at some partitioning examples using a new dataset, which is a network derived from some historical baseball data, specifically involving the Boston Red Sox. This dataset covers all seasons from 1901 through 2013 and has a handful of string attributes that can be used for partitioning purposes. There are also a number of numeric variables that can be employed for filtering and other uses, but these are not available for partitioning. Here are the steps to get started:

  1. To download the data files, go to this location: https://app.box.com/s/177yit0fdovz1czgcecp.

  2. Import the files using the Gephi Data Laboratory and the Import...

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