An R implementation for the Strain Elevation and Tension embedding algorithm from Bourne (2020) <doi:10.1007/s41109-020-00329-4>. The package embeds graphs and networks using the Strain Elevation and Tension embedding (SETSe) algorithm. SETSe represents the network as a physical system, where edges are elastic, and nodes exert a force either up or down based on node features. SETSe positions the nodes vertically such that the tension in the edges of a node is equal and opposite to the force it exerts for all nodes in the network. The resultant structure can then be analysed by looking at the node elevation and the edge strain and tension. This algorithm works on weighted and unweighted networks as well as networks with or without explicit node features. Edge elasticity can be created from existing edge weights or kept as a constant.
|Depends:||R (≥ 3.4.0)|
|Imports:||dplyr, Matrix, rlang (≥ 0.1.2), igraph, purrr, tibble, minpack.lm, magrittr, methods, stats|
|Suggests:||knitr, rmarkdown, tidyr, ggplot2, ggraph, roxygen2|
|Author:||Jonathan Bourne [aut, cre]|
|Maintainer:||Jonathan Bourne <jonathan.s.bourne at gmail.com>|
|Citation:||rsetse citation info|
|CRAN checks:||rsetse results|
Categorical and continuous feature embedding
Analysing multiple networks
|Windows binaries:||r-devel: rsetse_0.5.0.zip, r-release: rsetse_0.5.0.zip, r-oldrel: rsetse_0.5.0.zip|
|macOS binaries:||r-release (arm64): rsetse_0.5.0.tgz, r-release (x86_64): rsetse_0.5.0.tgz, r-oldrel: rsetse_0.5.0.tgz|
|Old sources:||rsetse archive|
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