Book Image

Network Graph Analysis and Visualization with Gephi

By : Ken Cherven
Book Image

Network Graph Analysis and Visualization with Gephi

By: Ken Cherven

Overview of this book

<p>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.</p> <p>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.</p> <p>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.</p> <p>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.</p>
Table of Contents (16 chapters)

Summary


In this chapter, you learned how to utilize some of the options and settings for several of the default Gephi layout algorithms. You also learned about several additional layouts available as plugins, and how to find, install, and use them. We then saw several examples of the output provided by these graph types, and discussed whether they were well suited to our sample dataset.

You also received an introduction on how to find the most effective layout for your data using a series of steps that will help you understand your data, the goal for your display, who the audience is, and whether to show the entire dataset or focus on a smaller subset.

At this point, you should feel confident enough to determine the type of graphical display you wish to create using a given dataset. Our next step will be to acquaint you with creating your own dataset, so you may begin developing your own signature visualizations.