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birankr  

Ranking Nodes in Bipartite and Weighted Networks
View on CRAN: Click here


Download and install birankr package within the R console
Install from CRAN:
install.packages("birankr")

Install from Github:
library("remotes")
install_github("cran/birankr")

Install by package version:
library("remotes")
install_version("birankr", "1.0.1")



Attach the package and use:
library("birankr")
Maintained by
Brian Aronson
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2020-01-26
Latest Update: 2020-03-23
Description:
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) . 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).
How to cite:
Brian Aronson (2020). birankr: Ranking Nodes in Bipartite and Weighted Networks. R package version 1.0.1, https://cran.r-project.org/web/packages/birankr. Accessed 04 Jun. 2026.
Previous versions and publish date:
1.0.0 (2020-01-26 11:30)
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Complete documentation for birankr
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