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
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
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