A User Study on Hybrid Graph Visualizations

TL;DR

This paper presents a user study comparing classical node-link and three hybrid graph visualization models, revealing their relative strengths and weaknesses in network analysis tasks, and highlighting areas for future research.

Contribution

It provides the first systematic user evaluation of hybrid graph visualizations versus traditional models, offering insights into their effectiveness and limitations.

Findings

Hybrid models show specific advantages in certain analysis tasks.

Classical node-link diagrams perform better in others.

The study identifies limitations and suggests directions for future research.

Abstract

Hybrid visualizations mix different metaphors in a single layout of a network. In particular, the popular NodeTrix model, introduced by Henry, Fekete, and McGuffin in 2007, combines node-link diagrams and matrix-based representations to support the analysis of real-world networks that are globally sparse but locally dense. That idea inspired a series of works, proposing variants or alternatives to NodeTrix. We present a user study that compares the classical node-link model and three hybrid visualization models designed to work on the same types of networks. The results of our study provide interesting indications about advantages/drawbacks of the considered models on performing classical tasks of analysis. At the same time, our experiment has some limitations and opens up to further research on the subject.