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On the recordRead 11 Oct 202616 facts
graphlayouts
Plans and prices
graphlayouts (R package)
Free
No paid plans or usage limits stated
Read 11 Oct 2026 · schochastics.github.io
On the record
- Backbone layout
- The backbone layout uses edge embeddedness to help uncover and emphasize potential group structures.schochastics.github.io · read 11 Oct 2026
- Centrality layout
- The centrality layout places the node with the highest centrality at the center, with more peripheral nodes farther out.schochastics.github.io · read 11 Oct 2026
- Data sources
- igraph networks; ggraph; igraphdata; networkdataschochastics.github.io · read 23 Sep 2026
- Dynamic networks
- The dynamic layout visualizes longitudinal network snapshots by anchoring nodes to a reference layout and moving them slightly as edges change.schochastics.github.io · read 11 Oct 2026
- Focus layout
- The focus layout places nodes with the same distance from a focal node on the same circle.schochastics.github.io · read 11 Oct 2026
- Installation
- The package can be installed from CRAN with install.packages("graphlayouts") or from GitHub with remotes::install_github("schochastics/graphlayouts").schochastics.github.io · read 11 Oct 2026
- Integrations
- The site demonstrates graphlayouts with ggraph and igraph, and also uses patchwork in examples.schochastics.github.io · read 11 Oct 2026
- Large networks
- The site describes two algorithms for large networks, with pivot MDS using a small number of pivot nodes and sparse stress trading runtime for layout quality.schochastics.github.io · read 11 Oct 2026
- Layout algorithms
- The package includes stress majorization, backbone, flexible radial, sparse stress, pivot MDS, dynamic, spectral, multilevel, and UMAP based layouts.schochastics.github.io · read 11 Oct 2026
- License
- The CRAN package listing identifies the license as MIT plus a license file.stat.ethz.ch · read 11 Oct 2026
- Limits
- The site describes its large graph algorithms in the context of networks under 100,000 nodes, while showing a sparse stress example with 165,000 nodes.schochastics.github.io · read 11 Oct 2026
- Platform
- desktopschochastics.github.io · read 23 Sep 2026
- Purpose
- graphlayouts implements graph layout algorithms that are not available in igraph.schochastics.github.io · read 11 Oct 2026
- Requirements
- The CRAN listing says the package depends on R 3.6.0 or later and imports igraph 2.0.0 or later and Rcpp.stat.ethz.ch · read 11 Oct 2026
- Support
- The project directs users to open a GitHub issue for bugs and support questions.schochastics.github.io · read 11 Oct 2026
