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.
Key Features
Use 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 attributes
Filter your graphs to focus on the key information you need to see and publish your network graphs to the Web
Book DescriptionGephi is an interactive visualization and exploration platform for all kinds of networks and complex systems. Social media data has helped to drive network visualization to new levels of relevance and importance. However, there is far more to network visualization than just social media data. 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 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. The book begins by taking you through the installation of Gephi and configuring the installation options. 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. 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. You will then use these layouts simultaneously to produce beautiful graphs. Also, you create and import data in Gephi and add some new plugins that extend Gephi even further. You also gain the skills to prepare and customize your network visualization for export.
By the end of this book, you will be able to create your own network graphs using Gephi, customize the look and feel of your graphs, and successfully publish them to the Web.What you will learn
Install and configure Gephi on your computer and navigate around the Gephi user interface
Create simple graphs using existing data and customize nodes and edges using toolbar functions
Learn about the use of installed layout formats as well as how to install and use additional layouts via plugins
Create data sources internally with spreadsheets and MySQL and filter data within your network graphs
Install additional plugins to enhance Gephi's base functionality
Use statistics, ranking, and querying to learn more about your data
Customize and deploy your graphs to the Web and find additional resources on network graphs and visualizations
Who this book is forThis book is for data analysts who want to intuitively reveal patterns and trends, highlight outliers, and tell stories with their data using Gephi. It is great for anyone looking to explore interactions within network datasets, whether the data comes from social media or elsewhere. It is also a valuable resource for those seeking to learn more about Gephi without being overwhelmed by technical details.
Sprache
Verlagsort
Maße
Höhe: 235 mm
Breite: 191 mm
ISBN-13
978-1-78328-013-1 (9781783280131)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Klassifikation
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. Hes also interested in text analysis, where hes 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 Kenneth Michael Cherven is a Data Analyst and Visualizer based in Detroit, Michigan, USA. He has worked with Tableau for more than 15 years with a focus on making complex data easily understood through the of interactive dashboards and creative displays. Beyond his work in the automotive sector, Kenneth analyzes data and creates visualizations using open data sources from the baseball, government, music, and craft beer domains. Ken has previously published two titles for Packt - Network Graph Analysis and Visualization with Gephi and Mastering Gephi Network Visualization.
