Package: rsetse 0.5.0
rsetse: Strain Elevation Tension Spring Embedding
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.
Authors:
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rsetse.pdf |rsetse.html✨
rsetse/json (API)
NEWS
# Install 'rsetse' in R: |
install.packages('rsetse', repos = c('https://jonnob.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/jonnob/rsetse/issues
- biconnected_network - A simple network made of three bi-connected components
embeddingembedding-graphsgraph-embeddingigraphnetworksnetworkscienceunsupervised-learning
Last updated 2 years agofrom:8ba5e4e43b. Checks:OK: 1 ERROR: 8. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Oct 27 2024 |
R-4.5-win-x86_64 | ERROR | Oct 27 2024 |
R-4.5-linux-x86_64 | ERROR | Oct 27 2024 |
R-4.4-win-x86_64 | ERROR | Oct 27 2024 |
R-4.4-mac-x86_64 | ERROR | Oct 27 2024 |
R-4.4-mac-aarch64 | ERROR | Oct 27 2024 |
R-4.3-win-x86_64 | ERROR | Oct 27 2024 |
R-4.3-mac-x86_64 | ERROR | Oct 27 2024 |
R-4.3-mac-aarch64 | ERROR | Oct 27 2024 |
Exports::=.data%>%as_labelas_namecalc_spring_areacalc_spring_constantcalc_tension_straincalc_tension_strain_hdcreate_balanced_blockscreate_node_edge_dfcreate_node_edge_df_hdenquoenquosexprgenerate_peels_networkmass_adjusterprepare_categorical_forceprepare_continuous_forceprepare_edgesremove_small_componentssetsesetse_autosetse_auto_hdsetse_bicompsetse_expandedsetse_shiftsymsyms
Dependencies:clicpp11dplyrfansigenericsglueigraphlatticelifecyclemagrittrMatrixminpack.lmpillarpkgconfigpurrrR6RcppRcppArmadillorlangtibbletidyselectutf8vctrswithr
Analysing multiple networks
Rendered fromseparate-peels-quintet.Rmd
usingknitr::rmarkdown
on Oct 27 2024.Last update: 2021-06-10
Started: 2020-10-28
Categorical and continuous feature embedding
Rendered fromCategorical-and-continuous-features.Rmd
usingknitr::rmarkdown
on Oct 27 2024.Last update: 2021-06-10
Started: 2021-06-10