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Mastering Gephi Network Visualization
Produce advanced network graphs in Gephi and gain valuable insights into your network datasetsAbout This BookBuild sophisticated interactive network graphs using advanced Gephi layout featuresMaster Gephi statistical and filtering techniques to easily navigate through even the densest network graphsAn easy-to-follow guide introducing you to Gephi's advanced features, with step-by-step instructions and lots of examplesWho This Book Is ForThis book is intended for anyone interested in advanced network analysis. If you wish to master the skills of analyzing and presenting network graphs effectively, then this is the book for you. No coding experience is required to use this book, although some familiarity with the Gephi user interface will be helpful.
What You Will LearnFamiliarize yourself with the Gephi interfaceUnderstand the plugins that are most critical for network analysis and graph creationAssess your own network graph needsExamine key network behaviors such as contagion, diffusion, and clusteringEffectively display a sample dataset using your own graphsIdentify and analyze network patternsUse Gephi's powerful filtering capabilities to improve your graphsCreate dynamic graphs with time-based network dataExport your graphs for use beyond GephiIn DetailMastering 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 LearnFamiliarize yourself with the Gephi interfaceUnderstand the plugins that are most critical for network analysis and graph creationAssess your own network graph needsExamine key network behaviors such as contagion, diffusion, and clusteringEffectively display a sample dataset using your own graphsIdentify and analyze network patternsUse Gephi's powerful filtering capabilities to improve your graphsCreate dynamic graphs with time-based network dataExport your graphs for use beyond GephiIn DetailMastering 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.
380 pages, Kindle Edition
First published January 28, 2015
4 people are currently reading
8 people want to read
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Displaying 1 - 3 of 3 reviews
December 9, 2016
If you want a good gentle introduction to Network analysis this is a great place to start. Very accessible book that weaves the basic concepts in Network visualization tools with Gephi. Gephi is an open source software package that allows you to create your own network graphs and it is easy to follow along with real datasets. The book is very well organized and easy to follow.
February 10, 2019
I fooled around with Gephi at work some months ago. It's one of the leading options that handles Social Network Analysis, a field that is taking off due to seemingly ubiquitous datasets due to academic publishing and social media. This book teaches you the basics of what Gephi has to offer vis-a-vis this field.
I found most interesting the idea of a temporally-based social network - i.e., one that grows over time. This is the root of DNA (Dynamic Network Analysis). Using this data, one can show how a graph changes over time.
The main dataset I use is comprised of academic scholars at my institution and partnering institutions. They collaborate together (or at least are commanded to do so), resulting in academic papers. This data is being used to monitor the fecundity of the minds in academic partnership. My data? Well, there wasn't much collaboration going on, so the entire academic partnership is overblown, unfortunately. It's time to be more deliberate about activities and co-authoring papers, I suppose.
Gephi is a powerful tool and can provide insights to its users. A book like this can teach someone the basics in a way that is not immediately obvious by the user interface. If you're into social network graphs or just charts in general, this provides an interesting aid to telling the story of your data.
I found most interesting the idea of a temporally-based social network - i.e., one that grows over time. This is the root of DNA (Dynamic Network Analysis). Using this data, one can show how a graph changes over time.
The main dataset I use is comprised of academic scholars at my institution and partnering institutions. They collaborate together (or at least are commanded to do so), resulting in academic papers. This data is being used to monitor the fecundity of the minds in academic partnership. My data? Well, there wasn't much collaboration going on, so the entire academic partnership is overblown, unfortunately. It's time to be more deliberate about activities and co-authoring papers, I suppose.
Gephi is a powerful tool and can provide insights to its users. A book like this can teach someone the basics in a way that is not immediately obvious by the user interface. If you're into social network graphs or just charts in general, this provides an interesting aid to telling the story of your data.
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Displaying 1 - 3 of 3 reviews