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Table Of Contents

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

When to use DNA

There are a host of potential applications for DNA, including the following:

Social media analysis, where friends and contacts are frequently changing
Communication networks, such as corporate e-mail systems, where evolving patterns emerge over the course of days and weeks
Political networks that change over time as entities gain or lose power
Terrorist cells with frequent changes in structure driven by increasing membership and evolving network connections
Disease modeling, where contagion rates can force rapid changes in the status of nodes within a network

In short, any network with relatively frequent changes over time will be a good candidate for DNA. Networks with infrequent or very slow changes (perhaps tenured faculty at a university or power grid infrastructure networks, to name just two examples) are often adequately addressed by static networks, as temporal analysis adds complexity while shedding little additional insight into network behavior.

There are two distinct...

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