CRAN/E | birankr

birankr

Ranking Nodes in Bipartite and Weighted Networks

Installation

About

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).

Key Metrics

Version 1.0.1
R ≥ 3.4.0
Published 2020-03-23 1494 days ago
Needs compilation? no
License MIT
License File
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Maintainer

Maintainer

Brian Aronson

bdaronson@gmail.com

Authors

Brian Aronson

aut / cre

Kai-Cheng Yang

aut

Material

README
Reference manual
Package source

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

r-oldrel

x86_64

Windows

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Old Sources

birankr archive

Depends

R ≥ 3.4.0
Matrix
data.table

Suggests

testthat