Network Graph Analysis and Visualization with Gephi


Network Graph Analysis and Visualization with Gephi
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Overview
Table of Contents
Author
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Sample Chapters
  • Use your own data to create network graphs displaying complex relationships between several types of data elements
  • Learn about nodes and edges, and customize your graphs using size, color, and weight attributes
  • Filter your graphs to focus on the key information you need to see and publish your network graphs to the Web

Book Details

Language : English
Paperback : 116 pages [ 235mm x 191mm ]
Release Date : September 2013
ISBN : 1783280131
ISBN 13 : 9781783280131
Author(s) : Ken Cherven
Topics and Technologies : All Books, Networking and Servers, Open Source

Table of Contents

Preface
Chapter 1: Installing Gephi
Chapter 2: Creating Simple Network Graphs
Chapter 3: Exploring Additional Layout Options
Chapter 4: Creating a Gephi Dataset
Chapter 5: Exploring Plugins
Chapter 6: Advanced Features
Chapter 7: Deploying Gephi Visualizations
Appendix: Network Visualization Resources
Index
  • Chapter 1: Installing Gephi
    • Downloading the software
      • Installing the software
      • The Gephi interface
        • Toolbar 1 – selectors, pencils, and brushes
        • Toolbar 2 – graph and node functions
        • Toolbar 3 – customizing nodes and edges
    • Summary
    • Chapter 2: Creating Simple Network Graphs
      • Understanding the Gephi workspace
        • The Graph window
        • The Ranking window
        • The Layout window
      • Working with the default layout options
      • Using an existing dataset
      • Creating our first network graph
        • Viewing data in the Data Laboratory
        • Experimenting with layouts
        • Customizing the graph
    • Summary
      • Chapter 3: Exploring Additional Layout Options
        • Exploring base layout options
          • Force layout options
          • Fruchterman-Reingold options
          • Yifan Hu options
        • Locating available layout plugins
          • Downloading and installing the plugins
        • Using the layouts
          • The Circular layout
          • The Dual Circle layout
          • The Radial Axis layout
          • The Concentric layout
          • The OpenOrd layout
        • Other options
        • Finding the most effective layout
        • Summary
        • Chapter 4: Creating a Gephi Dataset
          • Basic data requirements
            • Sizing nodes and edges
          • Building a datafile in Gephi
            • Adding nodes
            • Adding edges
          • Using spreadsheet files in Gephi
            • Creating and importing a spreadsheet
            • Importing spreadsheet files
            • Importing MySQL data
            • Saving your file
        • Summary
          • Chapter 5: Exploring Plugins
            • About plugins
            • Enhancing Gephi with plugins
            • Exploring plugin options
              • Plugin categories
              • Using plugins to improve productivity
            • Downloading and installing plugins
            • Summary
            • Chapter 6: Advanced Features
              • Filters
                • Filter options
                  • The Equal filter
                  • Working with Partition filters
                  • Using the Degree Range filter
                  • Working with the Ego Network filter
              • Statistics
                • Working with key statistics
              • Rankings
              • Summary
              • Chapter 7: Deploying Gephi Visualizations
                • Customizing the visualization
                  • Customizing the nodes and node labels
                  • Customizing the edges and edge labels
                  • Exporting the graph
                    • Exporting to a graph file
                    • Exporting to image formats
                    • Using Seadragon Web Export
                • Summary

                  Ken Cherven

                  Ken Cherven is a marketing analyst working in the automotive sector in Detroit, Michigan, USA. He has more than 15 years' experience working with proprietary tools from Microsoft, Cognos, Tableau, and Oracle, in addition to extensive experience using a variety of open source software applications including MySQL, SpagoBI, JasperServer, BIRT, Mondrian, R, Gephi, Exhibit, Omeka, and d3. Ken also maintains the visual-baseball.com site, where he uses available open source and proprietary tools to analyze, report on, and visualize baseball information. The site features many of his baseball visualization projects, including a collection of more than 100 seasons of interactive pennant race charts. One of Ken's current projects is to publish a visual history of major league baseball pennant races from 1901 through 2012, using a dashboard approach featuring horizon charts, box plots, bullet charts, and other visuals to tell the story of each and every race in a highly visual fashion. This book is scheduled for a 2013 release.
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                  Sample chapters

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                  What you will learn from this book

                  • Install and configure Gephi on your computer and navigate around the Gephi user interface
                  • Create simple graphs using existing data and customize nodes and edges using toolbar functions
                  • Learn about the use of installed layout formats as well as how to install and use additional layouts via plugins
                  • Create data sources internally with spreadsheets and MySQL and filter data within your network graphs
                  • Install additional plugins to enhance Gephi’s base functionality
                  • Use statistics, ranking, and querying to learn more about your data
                  • Customize and deploy your graphs to the Web and find additional resources on network graphs and visualizations

                  In Detail

                  Gephi is an interactive visualization and exploration platform for all kinds of networks and complex systems. Social media data has helped to drive network visualization to new levels of relevance and importance. However, there is far more to network visualization than just social media data. For analyzing and visualizing network graphs, you need to have an excellent platform, and you need to know ways to use your data effectively.

                  Network Graph Analysis and Visualization with Gephi is a practical, hands-on guide that provides you with all the tools you need to begin creating your own network graphs. You will learn how to import data, test multiple graph layouts, and publish your visualizations to the Web.

                  Network Graph Analysis and Visualization with Gephi will teach you how to create your own network graphs using Gephi. The book begins by taking you through the installation of Gephi and configuring the installation options. You will also get acquainted with the Gephi workspace and the various tools in Gephi. Next, you’ll use these tools to create your own graphs. If you need to add more capability to your personal toolkit, you will be learning to Download and install several of the best Gephi layout plugins. You will then use these layouts simultaneously to produce beautiful graphs. Also, you create and import data in Gephi and add some new plugins that extend Gephi even further. You also gain the skills to prepare and customize your network visualization for export.

                  By the end of this book, you will be able to create your own network graphs using Gephi, customize the look and feel of your graphs, and successfully publish them to the Web.

                  Approach

                  A practical, hands-on guide, that provides you with all the tools you need to visualize and analyze your data using network graphs with Gephi

                  Who this book is for

                  This book is for data analysts who want to intuitively reveal patterns and trends, highlight outliers, and tell stories with their data using Gephi. It is great for anyone looking to explore interactions within network datasets, whether the data comes from social media or elsewhere. It is also a valuable resource for those seeking to learn more about Gephi without being overwhelmed by technical details.

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