The field of network visualization and graph analysis has emerged as a crucial interdisciplinary area, merging advanced computational algorithms with sophisticated visual representation techniques.

Compound graphs, a frequently encountered type of data set, have a hierarchical tree structure with parent-child relations (‘inclusion’ relations) and non-hierarchical relations between leaf nodes ...

Many Eyes is a Java-based service that allows you to upload a data set and then graph it in an incredible range of styles. First, you will need to register (for free) with IBM’s Alphaworks and ...

Given how powerful and ubiquitous data visualization is, wouldn’t you like to be better at it? Want to pick up a couple of tips to make your next chart or graph more convincing? If so, keep reading.

DPABINet's intuitive graphical interface (GUI) empowers users to seamlessly construct brain networks, conduct graph theory analysis, and perform statistical analysis and result visualization with ...

The Guardian announced the release of the first part of the Miso project, an open source toolkit for creating data visualization content. In a blog post on The Guardian site last week, developer ...

Network graphs, now growing in popularity, are designed to help us see connections, capturing the interplay between many dimensions.

Types Of Data Visualizations For years, the easiest way to build data visualization was through adding information to an Excel spreadsheet and transforming it into a chart, graph, or table.

Choosing the right way to visualize your data makes the difference between telling a clear, compelling story or creating cognitive overload. Here's how to pick.