Gephi is an open source, user-friendly network visualization and analysis tool that provides numerous powerful features, making it easy for novices to get to grips with graph analysis quickly.
This book is your one-stop guide to learning Gephi's interactive networking and visualization, alongside the graph theory concepts that drive them. Each recipe walks you through a task and explains why and how it works. Starting with installing Gephi, you will learn how to begin analyzing a graph using Gephi's various features. You will discover how to make informed decisions using layout algorithms and filters, and perform statistical analysis with real-world datasets. This guide is an invaluable resource if you would like to plunge into the network analysis domain without having to learn how to code.
|Course Length||8 hours 52 minutes|
|Date Of Publication||26 May 2015|
|Exploring the Web and Internet domain – EuroSiS Web mapping study|
|Exploring the Web and Internet domain – the Internet dataset|
|Exploring social networks – Zachary's karate club dataset|
|Exploring social networks – Twitter's mentions and retweets dataset|
|Exploring biological networks – the C. Elegans neural network dataset|
|Exploring biological networks – the yeast dataset|
|Exploring the infrastructure domain – the airlines dataset|
|Importing data from MySQL databases|
|Importing data from Neo4j databases|
|Importing data via NodeXL|