This is the R package for the Strain Elevation Tension Spring embeddings (SETSe) algorithm. SETSe is a deterministic graph embeddings algorithm. It converts the node attributes of a graph into forces and the edge attributes into springs. The algorithm finds an equilibrium position when the forces of the nodes are balanced by the forces on the springs. A full description of the algorithm is given in “The spring bounces back: Introduction to Strain Elevation Tension Spring embedding for network representation” (Bourne 2020). There is a website for the package at https://jonnob.github.io/rSETSe/index.html

- Open R/Rstudio and ensure that devtools has been installed
- Run the following code library(devtools); install_github(“JonnoB/rSETSe”)
- Load the package normally using library(rsetse)
- All functions have help files e.g ?SETSe_auto

The package can also be downloaded or cloned then installed locally using the install function from devtools.

```
library(rSETSe)
#prepares a graph for embedding using SETSe
set.seed(234) #set the random see for generating the network
g <- generate_peels_network(type = "E") %>%
#prepare the network for a binary embedding
prepare_SETSe_binary(., node_names = "name", k = 1000,
force_var = "class",
positive_value = "A")
#Embedds using the bi-connected auto-parametrization algorithm.
#This method is strongly reccomended, it tends to be much faster and almost always converges
embeddings <- SETSe_bicomp(g,
tol = sum(abs(vertex_attr(g, "force")))/1000,
hyper_tol = 0.1,
hyper_iters = 3000,
verbose = T)
```

To cite rsetse in publications use: Bourne, J. The spring bounces back: introducing the strain elevation tension spring embedding algorithm for network representation. Appl Netw Sci 5, 88 (2020). https://doi.org/10.1007/s41109-020-00329-4