Node Overlap Removal Algorithms: A Comparative Study

Fati Chen 1, 2 Laurent Piccinini 1 Pascal Poncelet 2 Arnaud Sallaberry 2
2 ADVANSE - ADVanced Analytics for data SciencE
LIRMM - Laboratoire d'Informatique de Robotique et de Microélectronique de Montpellier
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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Submitted on : Wednesday, October 2, 2019 - 9:26:19 AM
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  • HAL Id : hal-02302617, version 1
  • ARXIV : 1908.07363

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Fati Chen, Laurent Piccinini, Pascal Poncelet, Arnaud Sallaberry. Node Overlap Removal Algorithms: A Comparative Study. 2019. ⟨hal-02302617⟩

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