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
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birankr_1.0.1.tgz(r-4.4-any)birankr_1.0.1.tgz(r-4.3-any)
birankr_1.0.1.tar.gz(r-4.5-noble)birankr_1.0.1.tar.gz(r-4.4-noble)
birankr_1.0.1.tgz(r-4.4-emscripten)birankr_1.0.1.tgz(r-4.3-emscripten)
birankr.pdf |birankr.html
birankr/json (API)

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

Peer review:

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

On CRAN:

4.85 score 35 stars 9 scripts 234 downloads 10 exports 3 dependencies

Last updated 3 years agofrom:498747303d. Checks:OK: 1 WARNING: 6. Indexed: yes.

TargetResultDate
Doc / VignettesOKNov 05 2024
R-4.5-winWARNINGNov 05 2024
R-4.5-linuxWARNINGNov 05 2024
R-4.4-winWARNINGNov 05 2024
R-4.4-macWARNINGNov 05 2024
R-4.3-winWARNINGNov 05 2024
R-4.3-macWARNINGNov 05 2024

Exports:bipartite_rankbr_bgrmbr_birankbr_cohitsbr_hitspagerankproject_to_one_modesparsematrix_from_edgelistsparsematrix_from_matrixsparsematrix_rm_weights

Dependencies:data.tablelatticeMatrix