A Hypergraph visualisation tool written in Processing language. Hypervis is meant to be used as a Graphical tool for visualing small to medium scale hypergraphs.
- Subset-, edge- and Zykov standard drawing of hyperedges.
- Export visualisation in svg and pdf format.
- Circular and Square drawing canvas.
- Adjusting the shapes of the vertices.
- Fruchterman-Reingold and Eades's Spring layout for drawing the associated graph.
- Allowing more user interaction.
- Open a new issue if you would like to see new features.
- Java
- la4j
- Processing
- G4P GUI Builder
- PeasyCam
Processing 3:install it at https://processing.org/- Install the dependencies:
- Processing
- From Menubar: Tools > Add Tool..
- Navigate to libraries Tab, Search for G4P and PeasyCam, and install them.
- Java
- la4j.jar can be found in code/ directory. You do not need to install it, as Processing expects external java libraries to be in code/ directory.
- Processing
- Open
Hypervis.pdein Processing application and run it. - Hypervis assumes the hypergraph is stored in a text file, where each line corresponds to a hyperedge with its vertices separated by comma (,).
- For further information (e.g. how to load a hypergraph and visualise it), please watch the
demo:https://www.youtube.com/watch?v=16iXlXGsUf4
Contributions are much appreciated.
It would be great if you open an issue with what features are you planning to add, before you make a Pull requests.
If you use Hypervis in a scientific publication, we would appreciate citations to the following paper:
Hypergraph drawing by force-directed placement, Arafat, Naheed Anjum and Bressan, Stéphane, DEXA 2020.
You can use the following BibTeX entry:
@inproceedings{
arafat2017hypergraph,
title={Hypergraph drawing by force-directed placement},
author={Arafat, Naheed Anjum and Bressan, Stéphane},
booktitle={International Conference on Database and Expert Systems Applications},
pages={387--394},
year={2017},
organization={Springer}
}