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Gephi Cookbook

You're reading from   Gephi Cookbook Over 90 hands-on recipes to master the art of network analysis and visualization with Gephi

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Product type Paperback
Published in May 2015
Publisher
ISBN-13 9781783987405
Length 296 pages
Edition 1st Edition
Tools
Concepts
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Toc

Table of Contents (12) Chapters Close

Preface 1. Getting Started with Gephi 2. Basic Graph Manipulations FREE CHAPTER 3. Using Graph Layout Algorithms 4. Working with Partition and Ranking Algorithms 5. Running Metrics, Filters, and Timelines 6. Working in the Data Laboratory Mode 7. Getting Graphs and Networks Ready for Preview 8. Exploring Dynamic and Multilevel Graphs 9. Getting Real-world Graph Datasets 10. Exploring Some Useful Gephi Plugins Index

Partitioning the graph based on edge attributes


Nodes are the entities in a graph and edges depict the relationships among these nodes. Sometimes, more than the nodes, these edges are of more interest to anyone performing exploratory analysis on graphs. In this recipe, we will learn how to partition the graph based on edge parameters and color the graph accordingly, in order to get better insights into the network under consideration.

Getting ready

In order to get started with this recipe, we will need to load the Les Misérables network into Gephi. Gephi doesn't have an off-the-shelf partitioning technique that utilizes an edge-based parameter. So, go to the Data Laboratory mode in Gephi, click on the Edges tab in the Data Table panel, and add labels for some or all of the edges. Return to Overview mode.

How to do it…

The following steps describe how to partition the graph, based on the label classes of the edges of the Les Misérables network. These are the labels that we have just added:

  1. Click...

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