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  • Book Overview & Buying Mastering Gephi Network Visualization
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Mastering Gephi Network Visualization

Mastering Gephi Network Visualization

4.6 (8)
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Mastering Gephi Network Visualization

Mastering Gephi Network Visualization

4.6 (8)
Buy this Book

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.
Table of Contents (13 chapters)
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Preface
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Preface
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What this book covers
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What you need for this book
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Who this book is for
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Conventions
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Reader feedback
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Customer support
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1
1. Fundamentals of Complex Networks and Gephi
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1. Fundamentals of Complex Networks and Gephi
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Graph applications
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A network graph analysis primer
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Overviewing Gephi
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Primary windows
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Secondary windows – tabs
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Essential plugins
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Summary
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2. A Network Graph Framework
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2. A Network Graph Framework
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A proposed process flow
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Creating an example graph
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Analyzing the graph
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Modifying the graph
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Exporting the graph
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Summary
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3. Selecting the Layout
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3. Selecting the Layout
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Overviewing the layout types
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Assessing your graphing needs
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Layout strengths and weaknesses
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Testing layouts
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Layout selection criteria
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Graph aesthetics
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Summary
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4. Network Patterns
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4. Network Patterns
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Contagion and diffusion
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Clustering and homophily
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Network growth patterns
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Using Gephi generators
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Viewing a contagion network
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Viewing network diffusion
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Network clustering
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Identifying homophily
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Summary
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5. Working with Filters
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5. Working with Filters
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The filtering theory
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Primary filtering functions in Gephi
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Using simple filters
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Working with complex filters
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Summary
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6. Graph Statistics
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6. Graph Statistics
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Overview of graph statistics
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Interpreting graph statistics
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Application of statistical measures
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Summary
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7. Segmenting and Partitioning a Graph
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7. Segmenting and Partitioning a Graph
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Partitioning and clustering options
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Partitioning and clustering examples
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Summary
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8. Dynamic Networks
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8. Dynamic Networks
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When to use DNA
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Topology-based DNA
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Attribute-based DNA
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Creating dynamic GEXF files
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Summary
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9. Taking Your Graph Beyond Gephi
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9. Taking Your Graph Beyond Gephi
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Overview of the available tools
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Exporting a web graph
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Summary
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10. Putting It All Together
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10. Putting It All Together
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Using Gephi to understand existing networks
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Creating new Gephi projects
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Anticipating the future of network analysis
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Summary
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A. Data Sources and Other Web Resources
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A. Data Sources and Other Web Resources
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Data sources
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Web resources
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Import processes
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Bibliography
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Index
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Index

Creating an example graph

Now that we've been through the process, it's time to have a little fun by following the preceding steps from start to finish using actual network data. Think of this as a bit of a case study where we put the theoretical process to work with a real dataset. The goal here is to get you acquainted with many of the capabilities within Gephi and to see how they might be used when you create your own graphs first hand.

So let's follow the process outlined earlier, walking through each step. Only this time, we're going to come up with an idea, retrieve the data for it, and create a network graph.

Identifying the topic

Choosing a topic for a network graph is not an easy task, given the hundreds of thousands of possibilities available to us, courtesy the Web and its numerous datasets. Even when a topic area is narrowed down to a specific genre (say, infrastructure networks), there are often multiple potential networks that could be created. Let's...

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Mastering Gephi Network Visualization
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