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Author: Radek Mařík

Affiliation: Czech Technical University, Czech Republic

Keyword(s): Force-driven Layout, Layered Graph, Multitree, Spanning Tree, Phylogenetic Network, Genealogical Network.

Related Ontology Subjects/Areas/Topics: Abstract Data Visualization ; Computer Vision, Visualization and Computer Graphics ; General Data Visualization ; Graph Visualization ; Information and Scientific Visualization ; Large Data Visualization ; Visualization Algorithms and Technologies ; Visualization Taxonomies and Models

Abstract: We propose a new method of node positioning for huge layered graphs specified by layers and fixed ordering of nodes within layers. We assume that the assignments of nodes to the layers and the order of nodes within the layers are provided by other suitable methods capable of processing multitree like networks. The node positioning method is based on the force-driven approach with barrier-like repulsive forces that avoids the quadratic complexity of traditional methods. We demonstrate achievements on several datasets containing up to millions of people or species. The proposed layout method of layered graphs that are close to acyclic multitrees creates aesthetically acceptable layouts in linear time.

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Paper citation in several formats:
Mařík, R. (2018). Layered Graph Force-driven Vertex Positioning. In Proceedings of the 13th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2018) - IVAPP; ISBN 978-989-758-289-9; ISSN 2184-4321, SciTePress, pages 301-308. DOI: 10.5220/0006624703010308

@conference{ivapp18,
author={Radek Ma\v{r}ík.},
title={Layered Graph Force-driven Vertex Positioning},
booktitle={Proceedings of the 13th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2018) - IVAPP},
year={2018},
pages={301-308},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006624703010308},
isbn={978-989-758-289-9},
issn={2184-4321},
}

TY - CONF

JO - Proceedings of the 13th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2018) - IVAPP
TI - Layered Graph Force-driven Vertex Positioning
SN - 978-989-758-289-9
IS - 2184-4321
AU - Mařík, R.
PY - 2018
SP - 301
EP - 308
DO - 10.5220/0006624703010308
PB - SciTePress