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Mastering Gephi Network Visualization

4.6 (8)

Mastering Gephi Network Visualization

4.6 (8)

Overview of this book

This book is intended for anyone interested in advanced network analysis. If you wish to master the skills of analyzing and presenting network graphs effectively, then this is the book for you. No coding experience is required to use this book, although some familiarity with the Gephi user interface will be helpful.

Preface

Preface

What this book covers

What you need for this book

Who this book is for

Conventions

Reader feedback

Customer support

Free Chapter

1. Fundamentals of Complex Networks and Gephi

1. Fundamentals of Complex Networks and Gephi

Graph applications

A network graph analysis primer

Overviewing Gephi

Primary windows

Secondary windows – tabs

Essential plugins

Summary

2. A Network Graph Framework

2. A Network Graph Framework

A proposed process flow

Creating an example graph

Analyzing the graph

Modifying the graph

Exporting the graph

Summary

3. Selecting the Layout

3. Selecting the Layout

Overviewing the layout types

Assessing your graphing needs

Layout strengths and weaknesses

Testing layouts

Layout selection criteria

Graph aesthetics

Summary

4. Network Patterns

4. Network Patterns

Contagion and diffusion

Clustering and homophily

Network growth patterns

Using Gephi generators

Viewing a contagion network

Viewing network diffusion

Network clustering

Identifying homophily

Summary

5. Working with Filters

5. Working with Filters

The filtering theory

Primary filtering functions in Gephi

Using simple filters

Working with complex filters

Summary

6. Graph Statistics

6. Graph Statistics

Overview of graph statistics

Interpreting graph statistics

Application of statistical measures

Summary

7. Segmenting and Partitioning a Graph

7. Segmenting and Partitioning a Graph

Partitioning and clustering options

Partitioning and clustering examples

Summary

8. Dynamic Networks

8. Dynamic Networks

When to use DNA

Topology-based DNA

Attribute-based DNA

Creating dynamic GEXF files

Summary

9. Taking Your Graph Beyond Gephi

9. Taking Your Graph Beyond Gephi

Overview of the available tools

Exporting a web graph

Summary

10. Putting It All Together

10. Putting It All Together

Using Gephi to understand existing networks

Creating new Gephi projects

Anticipating the future of network analysis

Summary

A. Data Sources and Other Web Resources

A. Data Sources and Other Web Resources

Data sources

Web resources

Import processes

Bibliography

Index

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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Tech Concepts

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Programming languages

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