Version [1.0]- HAT-VIS — A MATLAB-based hypergraph visualization tool

HAT-VIS is a hypergraph visualization tool designed within the MATLAB environment, serving to depict the inherent relationships present within hypergraphs. The current scarcity of MATLAB tools dedicated to the analysis and visualization of hypergraphs necessitated the development of the HAT-VIS, which can be an independent, standalone tool or integrated within the HAT: Hypergraph Analysis Toolbox and other MATLAB libraries. HAT-VIS offers a valuable resource for visualizing hypergraphs by leveraging vertex similarities through multidimensional scaling, providing additional interpretable insights based on the location of vertices, in contrast to the predominantly employed forced layout techniques in existing hypergraph visualization tools. The proposed tool can be used to inform decision making by discovering relationships between vertices. The applicability of HAT-VIS is demonstrated through an illustrative case study on the development of electric vehicles.

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Publication Details

Journal
SoftwareX
Published
2024-11-15
DOI
https://doi.org/10.1016/j.softx.2024.101963
Citations
1
Primary Topic
Data Visualization and Analytics
Type
article
Field-Weighted Citation Impact
0.25
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article

Version [1.0]- HAT-VIS — A MATLAB-based hypergraph visualization tool

Tímea Czvetkó, János Abonyi
1 citations
SoftwareX
Data Visualization and Analytics
0.25
article

Version [1.0]- HAT-VIS — A MATLAB-based hypergraph visualization tool

Tímea Czvetkó, János Abonyi
article en
1 citations

Abstract

HAT-VIS is a hypergraph visualization tool designed within the MATLAB environment, serving to depict the inherent relationships present within hypergraphs. The current scarcity of MATLAB tools dedicated to the analysis and visualization of hypergraphs necessitated the development of the HAT-VIS, which can be an independent, standalone tool or integrated within the HAT: Hypergraph Analysis Toolbox and other MATLAB libraries. HAT-VIS offers a valuable resource for visualizing hypergraphs by leveraging vertex similarities through multidimensional scaling, providing additional interpretable insights based on the location of vertices, in contrast to the predominantly employed forced layout techniques in existing hypergraph visualization tools. The proposed tool can be used to inform decision making by discovering relationships between vertices. The applicability of HAT-VIS is demonstrated through an illustrative case study on the development of electric vehicles.

SoftwareXVol. 28
University of Pannonia (HU)
Openalex Percentile: Top 45%
Data Visualization and Analytics
0.25
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