Revisited Experimental Comparison of Node-Link and Matrix Representations

Mershack Okoe, Radu Jianu, Stephen Kobourov

Research output: Contribution to journalArticlepeer-review

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.

Original languageEnglish (US)
JournalUnknown Journal
StatePublished - Aug 31 2017

ASJC Scopus subject areas

  • General

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