Gephi provides some ready-to-use ways to study the statistical properties of graphical networks. These statistical properties include the properties of the network as a whole, as well as individual properties of nodes and edges within the network. This chapter will enable readers to learn some of these properties and how to use Gephi to explore them. So let's get started!
Gephi Cookbook
Gephi Cookbook
Overview of this book
Table of Contents (18 chapters)
Gephi Cookbook
Credits
About the Author
Acknowledgments
About the Reviewers
www.PacktPub.com
Preface
Free Chapter
Getting Started with Gephi
Basic Graph Manipulations
Using Graph Layout Algorithms
Working with Partition and Ranking Algorithms
Running Metrics, Filters, and Timelines
Working in the Data Laboratory Mode
Getting Graphs and Networks Ready for Preview
Exploring Dynamic and Multilevel Graphs
Getting Real-world Graph Datasets
Exploring Some Useful Gephi Plugins
Index
Customer Reviews