City Research Online

Revisited experimental comparison of node-link and matrix representations

Okoe, M., Jianu, R. & Kobourov, S. (2018). Revisited experimental comparison of node-link and matrix representations. Lecture Notes in Computer Science, 10692, pp. 287-302. doi: 10.1007/978-3-319-73915-1_23

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.

Publication Type: Article
Additional Information: This is a post-peer-review, pre-copyedit version of an article published in Frati F., Ma KL. (eds) Graph Drawing and Network Visualization. GD 2017. Lecture Notes in Computer Science, vol 10692. Springer, Cham. The final publication is available at Springer http://dx.doi.org/978-3-319-73915-1
Departments: School of Science & Technology > Computer Science
School of Science & Technology > Computer Science > giCentre
[thumbnail of node-link-diagrams (1).pdf]
Preview
Text - Accepted Version
Download (709kB) | Preview

Export

Add to AnyAdd to TwitterAdd to FacebookAdd to LinkedinAdd to PinterestAdd to Email

Downloads

Downloads per month over past year

View more statistics

Actions (login required)

Admin Login Admin Login