Toward a Holistic Virtual Environment for Graph Visualization and Analysis
Jordan Henstrom, Jonathan M. Alexander, Jackson T. Hart, Ian N. Backus, Raffaele De Amicis · IEEE Computer Graphics and Applications · 2023
Interactive data visualization plays a crucial role in the interpretability of large datasets. Virtual reality offers unique advantages in exploring data, beyond traditional 2-D views. This article presents a set of interaction artifacts designed for analyzing and interpreting complex datasets through immersive 3-D graph visualization and interaction. Our system makes complex datasets easier to work with by offering a wide range of visual customization tools and intuitive methods for selection, manipulation, and filtering. It also provides a cross-platform, collaborative environment that can be accessed by remote users through traditional computers, drawing tablets, and touchscreen devices.