https://github.com/sudame/forceatlas2.jl
A port of Gephi's Force Atlas 2 layout algorithm to Julia(Graph).
https://github.com/sudame/forceatlas2.jl
force-directed-graphs force-layout forceatlas2 graph julia juliagraphs
Last synced: 8 months ago
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A port of Gephi's Force Atlas 2 layout algorithm to Julia(Graph).
- Host: GitHub
- URL: https://github.com/sudame/forceatlas2.jl
- Owner: sudame
- License: gpl-3.0
- Created: 2022-02-13T06:37:41.000Z (over 4 years ago)
- Default Branch: main
- Last Pushed: 2022-02-14T00:16:21.000Z (over 4 years ago)
- Last Synced: 2025-10-10T22:12:53.704Z (8 months ago)
- Topics: force-directed-graphs, force-layout, forceatlas2, graph, julia, juliagraphs
- Language: Julia
- Homepage:
- Size: 139 KB
- Stars: 1
- Watchers: 1
- Forks: 0
- Open Issues: 2
-
Metadata Files:
- Readme: README.md
- License: LICENSE
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README
# ForceAtlas2.jl
A port of Gephi's *Force Atlas 2* layout algorithm to Julia(Graph).
## Installation
in Julia REPL, Pkg mode
```sh
add https://github.com/sudame/ForceAtlas2.jl
```
### Dependencies
- JuliaGraph
- GraphPlot (only for examples)
## Usage
See [examples](./example/)
```julia
using Graphs, GraphPlot, ForceAtlas2
g = random_regular_graph(100, 2)
locs_x, locs_y = forceatlas2_layout(g, 1000)
gplot(g, locs_x, locs_y)
```
If you prefer the default number of iterations (100 iterations), you can do as follow:
```julia
using Graphs, GraphPlot, ForceAtlas2
g = random_regular_graph(100, 2)
gplot(g, layout=forceatlas2_layout)
```
## Limitation
This version works **very** slow. This is only a port of python package and is not optimize for Julia.
## Copyright
```
Copyright (C) 2022 SUDA Mikihiro s@sudame.net
Licensed under the GNU GPLv3.
```
### Notice
**The programs are heavily based on the Python implementation of Force Atlas 2, by [Bhargav Chippada](https://github.com/bhargavchippada).**
You can get the python version from GitHub: [bhargavchippada/forceatlas2](https://github.com/bhargavchippada/forceatlas2)
#### Notice of Notice
The original version of Force Atlas 2 is [Gephi](https://gephi.org/)'s version. You can also find original [paper](https://doi.org/10.1371/journal.pone.0098679).