Node Overlap Removal Algorithms: A Comparative Study

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Abstract

Many algorithms have been designed to remove node overlapping, and many quality criteria and associated metrics have been proposed to evaluate those algorithms. Unfortunately, a complete comparison of the algorithms based on some metrics that evaluate the quality has never been provided and it is thus difficult for a visualization designer to select the algorithm that best suits his needs. In this paper, we review 21 metrics available in the literature, classify them according to the quality criteria they try to capture, and select a representative one for each class. Based on the selected metrics, we compare 8 node overlap removal algorithms. Our experiment involves 854 synthetic and real-world graphs.

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APA

Chen, F., Piccinini, L., Poncelet, P., & Sallaberry, A. (2019). Node Overlap Removal Algorithms: A Comparative Study. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 11904 LNCS, pp. 179–192). Springer. https://doi.org/10.1007/978-3-030-35802-0_14

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