Revisited Experimental Comparison of Node-Link and Matrix Representations

TL;DR

This study compares node-link diagrams and adjacency matrices for network visualization, revealing significant differences in effectiveness across various tasks using a large, real-world dataset and crowdsourced evaluation.

Contribution

It provides a comprehensive, large-scale comparison of the two primary network visualization techniques across diverse tasks and datasets.

Findings

Statistically significant differences between the two visualization methods.

Evaluation across a broad spectrum of network tasks.

Use of large, real-world network datasets and crowdsourcing for assessment.

Abstract

Visualizing network data is applicable in domains such as biology, engineering, and social sciences. We report the results of a study comparing the effectiveness of the two primary techniques for showing network data: node-link diagrams and adjacency matrices. Specifically, an evaluation with a large number of online participants revealed statistically significant differences between the two visualizations. Our work adds to existing research in several ways. First, we explore a broad spectrum of network tasks, many of which had not been previously evaluated. Second, our study uses a large dataset, typical of many real-life networks not explored by previous studies. Third, we leverage crowdsourcing to evaluate many tasks with many participants.