TimeLighting: Guided Exploration of 2D Temporal Network Projections

TL;DR

TimeLighting is a novel interactive visualization method for exploring 2D temporal networks in space-time cubes, addressing limitations of animation and slicing by highlighting node trajectories and guiding user exploration.

Contribution

We introduce TimeLighting, a new visual analytics approach that enhances exploration of temporal networks by visualizing node aging and providing guidance on interesting time intervals and network elements.

Findings

Supports identification of temporal patterns

Helps extract insights from highly active nodes

Guides users during exploration and analysis

Abstract

In temporal ( event-based ) networks, time is a continuous axis, with real-valued time coordinates for each node and edge. Computing a layout for such graphs means embedding the node trajectories and edge surfaces over time in a 2D+t space, known as the space-time cube. Currently, these space-time cube layouts are visualized through animation or by slicing the cube at regular intervals. However, both techniques present problems such as below-average performance on tasks as well as loss of precision and difficulties in selecting timeslice intervals. In this paper, we present TimeLighting , a novel visual analytics approach to visualize and explore temporal graphs embedded in the space-time cube. Our interactive approach highlights node trajectories and their movement over time, visualizes node "aging", and provides guidance to support users during exploration by indicating interesting time intervals ("when") and network elements ("where") are located for a detail-oriented investigation. This combined focus helps to gain deeper insights into the temporal network's underlying behavior. We assess the utility and efficacy of our approach through two case studies and qualitative expert evaluation. The results demonstrate how TimeLighting supports identifying temporal patterns, extracting insights from nodes with high activity, and guiding the exploration and analysis process.