Information Eye: A Hybrid Visualization Approach of Exploring Relational Information Space
Lingxiao Yang, Fanqin Zhou, Xiaoyong Li · 2020
In this paper, we propose a novel hybrid layout called Information Eye for relational information space, which supports interactive exploration of information. It is a new visual metaphor, which uses the circular layout to represent the relationship information and the radial tree in the center to represent the attribute information. It combines the two traditional layout methods and presents the shape of the eye. This method draws on the idea of force-directed algorithm and introduces the concept of force into a circular layout. The distance from the node to the center of the circle is used instead of the node-link diagram to express the relationship, making the relationship more intuitive. In the center of the circular layout, the radial tree is used to characterize the attribute information of the nodes, which is more layered. Information Eye also introduces a round lens method, similar to the focusing function of human eyes, to realize the context change when the center of the circle is selected or not, and realizes a smooth transition of the information view. It combines multiple interactive technologies to realize the interactive exploration of two types of information. Finally, we apply this technique to movie data to illustrate its usefulness.