# A User Study on Hybrid Graph Visualizations

arXiv: https://arxiv.org/abs/2108.10270 · HTML: https://mlsanity.com/paper/2108.10270/

## Key facts

- Cited by 1 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 23 Aug 2021.

## Built on by (most cited first, 1 of 1)

- [Evaluating graph-based explanations for AI-based recommender systems](https://mlsanity.com/paper/2407.12357/) (2024)

## Abstract (arXiv)

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.