Gephi has been used by researchers for exploring all sorts of networks. These networks range from social networks, biological networks, infrastructure domain networks, and so on. Apart from having domain-specific differences, these networks also differ in their size and structure. Social networks, for instance, are usually very large in size, whereas biological networks are considerably smaller, with different sorts of interactions. In this chapter, we are going to explore some of these networks in Gephi. We are also going to learn how to fetch data from different sources: MySQL databases, Neo4j databases, and NodeXL.
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