Revisited Experimental Comparison of Node-Link and Matrix Representations
August 31, 2017 Β· Declared Dead Β· π International Symposium Graph Drawing and Network Visualization
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Authors
Mershack Okoe, Radu Jianu, Stephen Kobourov
arXiv ID
1709.00293
Category
cs.HC: Human-Computer Interaction
Cross-listed
cs.SI
Citations
17
Venue
International Symposium Graph Drawing and Network Visualization
Last Checked
4 months ago
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.
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