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birankr

Ranking Nodes in Bipartite and Weighted Networks

v1.0.1 · Mar 23, 2020 · MIT + file LICENSE

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) <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).

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LazyData

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LazyData

'LazyData' is specified without a 'data' directory
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LazyData

'LazyData' is specified without a 'data' directory

Check History

NOTE 11 OK · 3 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE Mar 10, 2026
NOTE r-oldrel-macos-arm64

LazyData

'LazyData' is specified without a 'data' directory
NOTE r-oldrel-macos-x86_64

LazyData

'LazyData' is specified without a 'data' directory
NOTE r-oldrel-windows-x86_64

LazyData

'LazyData' is specified without a 'data' directory

Dependency Network

Dependencies Reverse dependencies Matrix data.table birankr

Version History

new 1.0.1 Mar 10, 2026
updated 1.0.1 ← 1.0.0 diff Mar 22, 2020
new 1.0.0 Jan 25, 2020