Node overlap removal by growing a tree

Conference paper

Nachmanson, L., Nocaj, A., Bereg, S., Zhang, L. and Holroyd, A. 2016. Node overlap removal by growing a tree. Hu, Y. and Nöllenburg, M. (ed.) GD 2016: 24th International Symposium on Graph Drawing & Network Visualization. Athens, Greece 19 - 21 Sep 2016 Springer. pp. 33-43 https://doi.org/10.1007/978-3-319-50106-2_3
TypeConference paper
TitleNode overlap removal by growing a tree
AuthorsNachmanson, L., Nocaj, A., Bereg, S., Zhang, L. and Holroyd, A.
Abstract

Node overlap removal is a necessary step in many scenarios including laying out a graph, or visualizing a tag cloud. Our contribution is a new overlap removal algorithm that iteratively builds a Minimum Spanning Tree on a Delaunay triangulation of the node centers and removes the node overlaps by ”growing” the tree. The algorithm is simple to implement yet produces high quality layouts. According to our experiments it runs several times faster than the current state-of-the-art methods.

ConferenceGD 2016: 24th International Symposium on Graph Drawing & Network Visualization
Page range33-43
Proceedings TitleGraph Drawing and Network Visualization: 24th International Symposium, GD 2016, Athens, Greece, September 19-21, 2016, Revised Selected Papers
SeriesLecture Notes in Computer Science
EditorsHu, Y. and Nöllenburg, M.
ISSN0302-9743
Electronic1611-3349
ISBN
Paperback9783319501055
Electronic9783319501062
PublisherSpringer
Publication dates
Online08 Dec 2016
Print08 Dec 2016
Publication process dates
Deposited24 Oct 2016
Accepted25 Jul 2016
Output statusPublished
Accepted author manuscript
File Access Level
Open
Copyright Statement

The final publication is available at Springer via http://doi.org/10.1007/978-3-319-50106-2_3

Additional information

Nachmanson L., Nocaj A., Bereg S., Zhang L., Holroyd A. (2016) Node Overlap Removal by Growing a Tree. In: Hu Y., Nöllenburg M. (eds) Graph Drawing and Network Visualization. GD 2016. Lecture Notes in Computer Science, vol 9801. Springer, Cham

Digital Object Identifier (DOI)https://doi.org/10.1007/978-3-319-50106-2_3
Web address (URL) of conference proceedingshttps://doi.org/10.1007/978-3-319-50106-2
LanguageEnglish
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