Quantitative Evaluation of Multi-Type Edge Bundling - Example for Japan Airmap

Ryosuke Saga

Abstract

This paper describes an evaluation of multi-type edge bundling methods showing for different types of edges. Edge bundling methods such as force-directed edge bundling (FDEB) method have gained attention as one of graph drawing methods that reduce visual clutter. Also, a multi-type edge bundling methods have been proposed for multi-type graph that has an attached attribute to each edge. These methods are used for several cases and evaluated qualitatively. However, there is no cases to evaluate them quantitatively. This paper proposes one of the multi-type edge bundling methods extended from FDEB and visualizes the airline route map in Japan. After that, this paper evaluates them to know the features of each bundling method by using the three measures: mean edge length difference, mean occupation area, and edge density distribution.

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Paper Citation


in Harvard Style

Saga R. (2018). Quantitative Evaluation of Multi-Type Edge Bundling - Example for Japan Airmap .In Proceedings of the 13th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 3: IVAPP, ISBN 978-989-758-289-9, pages 327-332. DOI: 10.5220/0006638503270332


in Bibtex Style

@conference{ivapp18,
author={Ryosuke Saga},
title={Quantitative Evaluation of Multi-Type Edge Bundling - Example for Japan Airmap },
booktitle={Proceedings of the 13th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 3: IVAPP,},
year={2018},
pages={327-332},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006638503270332},
isbn={978-989-758-289-9},
}


in EndNote Style

TY - CONF

JO - Proceedings of the 13th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 3: IVAPP,
TI - Quantitative Evaluation of Multi-Type Edge Bundling - Example for Japan Airmap
SN - 978-989-758-289-9
AU - Saga R.
PY - 2018
SP - 327
EP - 332
DO - 10.5220/0006638503270332