Produce advanced network graphs in Gephi and gain valuable insights into your network datasets
Mastering Gephi Network Visualization will take you through an overview of Gephi and network behavior, followed by detailed chapters addressing layouts, filtering, graph statistics, dynamic graphs, and more. You will begin with a concise overview of working with the Gephi interface. You will then see how to create your own graphs and understand the graph layouts to arrange a sample dataset. You will understand the theory behind Dynamic Network Analysis, followed by sample applications on how Gephi can be used to model these networks. You will also learn about the plugins that are most critical for network analysis and graph creation. Finally, you will put together all the previously learned concepts and gain insight on the future state of network graph analysis.
After reading this book and following the examples provided, you will have the confidence and expertise to create your own compelling graphs.
What You Will Learn
Familiarize yourself with the Gephi interface
Understand the plugins that are most critical for network analysis and graph creation
Assess your own network graph needs
Examine key network behaviors such as contagion, diffusion, and clustering
Effectively display a sample dataset using your own graphs
Identify and analyze network patterns
Use Gephi's powerful filtering capabilities to improve your graphs
Create dynamic graphs with time-based network data
Export your graphs for use beyond Gephi
Downloading the example code for this book. You can download the example code files for all Packt books you have purchased from your account at http://www.PacktPub.com. If you purchased this book elsewhere, you can visit http://www.PacktPub.com/support and register to have the files e-mailed directly to you.