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Mastering Gephi Network Visualization

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  • 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

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.

  • 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
Page Count 378
Course Length 11 hours 20 minutes
Date Of Publication 28 Jan 2015


Ken Cherven

Ken Cherven has been creating data visualizations for more than 10 years using a variety of tools, including Excel, Tableau, Cognos, D3, Gephi, Sigma.js, and Exhibit, along with geospatial tools such as Mapbox, Carto, and QGIS.

He uses Tableau on a daily basis in his current position, where he has built dozens of performance dashboards to track both marketing and operational metrics. He has also built many visualizations for his personal websites, especially utilizing Gephi and Sigma.js to explore and visualize network data.

He is very interested in tools related to the exploration of network data, typically using Gephi for most of his current output. He’s also interested in text analysis, where he’s used tools such as Aylien, RapidMiner, R, and Exploratory to begin understanding and visualizing underlying patterns in political speeches, email transmissions, and book content.

His experience in building data visualizations has intersected with many technologies, including a variety of SQL-based tools and languages including Oracle, MySQL, and SQLServer. He frequently edits and styles network information using HTML and CSS, along with a bit of JavaScript.

He is also highly engaged in the world of data visualization, including but not limited to his daily work experience. His work is based on a thorough understanding of visualization principles learned through extensive reading and practice. He also uses his websites to display and promote visualizations, which he shares with a wider audience. He has previously authored two books on Gephi for Packt, and has also presented at multiple data visualization conferences