Other packages > Find by keyword >

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 06 Mar. 2026.
Previous versions and publish date:
1.0.0 (2020-01-26 11:30)
Other packages that cited birankr R package
View birankr citation profile
Other R packages that birankr depends, imports, suggests or enhances
Complete documentation for birankr
Downloads during the last 30 days

Today's Hot Picks in Authors and Packages

lbfgs  
Limited-memory BFGS Optimization
A wrapper built around the libLBFGS optimization library by Naoaki Okazaki. The lbfgs package implem ...
Download / Learn more Package Citations See dependency  
EMVS  
The Expectation-Maximization Approach to Bayesian Variable Selection
An efficient expectation-maximization algorithm for fitting Bayesian spike-and-slab regularization p ...
Download / Learn more Package Citations See dependency  
mlr3viz  
Visualizations for 'mlr3'
Visualization package of the 'mlr3' ecosystem. It features plots for mlr3 objects such as tasks, le ...
Download / Learn more Package Citations See dependency  
r2resize  
In-Text Resize for Images, Tables and Fancy Resize Containers in 'shiny', 'rmarkdown' and 'quarto' Documents
Automatic resizing toolbar for containers, images and tables. Various resizable or expandable contai ...
Download / Learn more Package Citations See dependency  
DatabionicSwarm  
Swarm Intelligence for Self-Organized Clustering
Algorithms implementing populations of agents that interact with one another and sense their environ ...
Download / Learn more Package Citations See dependency  
solitude  
An Implementation of Isolation Forest
Isolation forest is anomaly detection method introduced by the paper Isolation based Anomaly Detecti ...
Download / Learn more Package Citations See dependency  

26,264

R Packages

223,360

Dependencies

70,244

Author Associations

26,265

Publication Badges

© Copyright since 2022. All right reserved, rpkg.net.  Based in Cambridge, Massachusetts, USA