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.pdf |birankr.html✨
birankr/json (API)

Peer review:

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

On CRAN:

10 exports 35 stars 2.74 score 3 dependencies 9 scripts 257 downloads

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

Exports:bipartite_rankbr_bgrmbr_birankbr_cohitsbr_hitspagerankproject_to_one_modesparsematrix_from_edgelistsparsematrix_from_matrixsparsematrix_rm_weights

Dependencies:data.tablelatticeMatrix