Package: birankr 1.0.1

birankr: Ranking Nodes in Bipartite and Weighted Networks

Highly efficient functions for estimating various rank (centrality) measures of nodes in bipartite graphs (two-mode networks). Includes methods for estimating HITS, CoHITS, BGRM, and BiRank with implementation primarily inspired by He et al. (2016) <doi:10.1109/TKDE.2016.2611584>. Also provides easy-to-use tools for efficiently estimating PageRank in one-mode graphs, incorporating or removing edge-weights during rank estimation, projecting two-mode graphs to one-mode, and for converting edgelists and matrices to sparseMatrix format. Best of all, the package's rank estimators can work directly with common formats of network data including edgelists (class data.frame, data.table, or tbl_df) and adjacency matrices (class matrix or dgCMatrix).

Authors:Brian Aronson [aut, cre], Kai-Cheng Yang [aut]

birankr_1.0.1.tar.gz
birankr_1.0.1.zip(r-4.7-any)birankr_1.0.1.zip(r-4.6-any)birankr_1.0.1.zip(r-4.5-any)
birankr_1.0.1.tgz(r-4.6-any)birankr_1.0.1.tgz(r-4.5-any)
birankr_1.0.1.tar.gz(r-4.7-any)birankr_1.0.1.tar.gz(r-4.6-any)
birankr_1.0.1.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
birankr/json (API)

# Install 'birankr' in R:
install.packages('birankr', repos = c('https://brianaronson.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/brianaronson/birankr/issues

On CRAN:

Conda:

4.91 score 41 stars 10 scripts 400 downloads 10 exports 3 dependencies

Last updated from:498747303d. Checks:7 WARNING, 2 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-develWARNING140
source / vignettesOK212
linux-releaseWARNING195
macos-releaseWARNING185
macos-oldrelWARNING214
windows-develWARNING75
windows-releaseWARNING75
windows-oldrelWARNING96
wasm-releaseOK180

Exports:bipartite_rankbr_bgrmbr_birankbr_cohitsbr_hitspagerankproject_to_one_modesparsematrix_from_edgelistsparsematrix_from_matrixsparsematrix_rm_weights

Dependencies:data.tablelatticeMatrix