Mastering Gephi Network Visualization Produce Advanced Network Graphs in Gephi and Gain Valuable Insights Into Your Network Datasets
Mastering Gephi Network Visualization by Ken Cherven, published by Packt Publishing in 2015, is a comprehensive guide designed to help readers produce advanced network graphs using Gephi. This edition spans 378 pages and is presented in English. The book offers an overview of Gephi and network behavior, detailing essential features such as layouts, filtering, and graph statistics, making it suitable for those looking to enhance their understanding of network datasets.
Readers will find step-by-step instructions and numerous examples that facilitate the mastery of Gephi’s advanced features. The content covers critical aspects of network analysis, including dynamic graphs and the use of essential plugins. By engaging with the material, readers will learn to create their own graphs, assess network behaviors like contagion and clustering, and effectively display and analyze network patterns. This guide aims to equip users with the skills needed to navigate complex network graphs and gain valuable insights into their data.
Official synopsis Publisher
Produce advanced network graphs in Gephi and gain valuable insights into your network datasets
Key Features
- Build sophisticated interactive network graphs using advanced Gephi layout features
- Master Gephi statistical and filtering techniques to easily navigate through even the densest network graphs
- An easy-to-follow guide introducing you to Gephi’s advanced features, with step-by-step instructions and lots of examples
Book Description
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
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