TY - GEN
T1 - Revisited experimental comparison of node-link and matrix representations
AU - Okoe, Mershack
AU - Jianu, Radu
AU - Kobourov, Stephen
N1 - Publisher Copyright:
© Springer International Publishing AG 2018.
PY - 2018
Y1 - 2018
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=85041808263&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85041808263&partnerID=8YFLogxK
U2 - 10.1007/978-3-319-73915-1_23
DO - 10.1007/978-3-319-73915-1_23
M3 - Conference contribution
AN - SCOPUS:85041808263
SN - 9783319739144
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 287
EP - 302
BT - Graph Drawing and Network Visualization - 25th International Symposium, GD 2017, Revised Selected Papers
A2 - Ma, Kwan-Liu
A2 - Frati, Fabrizio
PB - Springer-Verlag
T2 - 25th International Symposium on Graph Drawing and Network Visualization, GD 2017
Y2 - 25 September 2017 through 27 September 2017
ER -