Network Graph Analysis and Visualization with Gephi
| Author | : | |
| Rating | : | 4.27 (872 Votes) |
| Asin | : | 1783280131 |
| Format Type | : | paperback |
| Number of Pages | : | 116 Pages |
| Publish Date | : | 2015-07-04 |
| Language | : | English |
DESCRIPTION:
James A. Cowan said Trivial. This book has almost no useful content. It's hard to see how it got published. You can learn more by downloading some of the many free online training and help tools for Gephi.. OK as an Intro Overview I have been a fan of Gephi, a Java-based graphing package based on OpenGL, for quite some time. I have found it quite useful for graphing and presenting results of semantic technology graphs [1]. Like many open--source products, though, its online documentation is somewhat fragmented and incomplete. There is much power in the package and its plugins, but finding how to effectively use it takes experimentation and mu. Valuable Reference and Comprehensive Guide This book is a valuable reference for those who have little to no experience using the Gephi application. Although I personally am not a “newbie” I was able to pick up many useful tips and tricks. I wish I had this guide when I first stumbled upon Gephi as it would have reduced my learning curve considerably.To date this is the most comprehensive guide I have seen and I highly recommend it for someone lo
Gephi is a great platform for analyzing and turning your data into highly communicative visualizations, and this book will teach you to create your own network graphs, and then customize and publish them to the web. If you need to add more capability to your personal toolkit, you will be learning to Download and install several of the best Gephi layout plugins. For analyzing and visualizing network graphs, you need to have an excellent platform, and you need to know ways to use your data effectively.Network Graph Analysis and Visualization with Gephi is a practical, hands-on guide that provides you with all the tools you need to begin creating your own network graphs. You will also get acquainted with the Gephi workspace and the various tools in Gephi. Next, you'll use these tools to create your own graphs. You will learn how to import data, test multiple graph layouts, and publish your visualizations to the Web.Network Graph Analysis and Visualization with Gephi will teach you how to create your own network graphs using Gephi. It is also a valuable resource for those seeking to learn more about Gephi without being overwhelmed by technical details.. Social media data has helped to drive network visualization to new levels of relevance and importance. OverviewUse your own data to create network graphs displaying complex relationships between several types of data elements Learn about nodes and edges, and customize your graphs using size, color, and weight attri
This book is scheduled for a Summer 2013 release.. The site features many of his baseball visualization projects, including a collection of more than 100 seasons of interactive pennant race charts.One of Ken's current projects is to publish a visual history of major league baseball pennant races from 1901 through to 2012, using a dashboard approach featuring horizon charts, box plots, bullet charts, and other visuals to tell the story of each and every race in a highly visual fashion. About the AuthorKen ChervenKen Cherven is a Marketing Analyst working in the automotive sector in Detroit, Michigan, USA. He has more than 15 years of experience working with proprietary tools from Microsoft, Cognos, Tableau, and Oracle, in addition to extensive experience using a variety of open source software applications including MySQL, SpagoBI, JasperServer, BIRT, Mondrian, R,
Ken ChervenKen Cherven is a Marketing Analyst working in the automotive sector in Detroit, Michigan, USA. He has more than 15 years of experience working with proprietary tools from Microsoft, Cognos, Tableau, and Oracle, in addition to extensive experience using a variety of open source software applications including MySQL, SpagoBI, JasperServer, BIRT, Mondrian, R, Gephi