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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
3
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

Chapter 2. A Network Graph Framework

As one embarks on the task of creating a network graph, it quickly becomes apparent that neither is there a shortage of topics to visualize, nor is there a lack of data detailing many potential sets of network relationships. The more difficult task is to determine what we choose to visualize and how to move from a simple idea to a finished graph. In this chapter, you will be exposed to a proposed framework that details how this author goes through the entire process from the initial idea to a final published graph. The chapter will then take you through an actual example, where we can begin creating a network graph together.

In the following sections, I will discuss my personal approach to create a finished graph using the following:

  • Identifying an idea or topic to pursue
  • Determining the final output
  • Identifying the data source(s) needed to populate the graph
  • Formatting the data for Gephi according to the required naming conventions
  • Importing data...
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Mastering Gephi Network Visualization
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