{ "_id": "6a1fff19b401979e7344556b", "Package": "birankr", "Title": "Ranking Nodes in Bipartite and Weighted Networks", "Version": "1.0.1", "Authors@R": "c(person(\"Brian\", \"Aronson\",email = \"bdaronson@gmail.com\", role = c(\"aut\", \"cre\")), person(\"Kai-Cheng\", \"Yang\", email = \"yangkc@iu.edu\", role = \"aut\"))", "Description": "Highly efficient functions for estimating various rank\n(centrality) measures of nodes in bipartite graphs (two-mode\nnetworks). Includes methods for estimating HITS, CoHITS, BGRM,\nand BiRank with implementation primarily inspired by He et al.\n(2016) . Also provides\neasy-to-use tools for efficiently estimating PageRank in\none-mode graphs, incorporating or removing edge-weights during\nrank estimation, projecting two-mode graphs to one-mode, and\nfor converting edgelists and matrices to sparseMatrix format.\nBest of all, the package's rank estimators can work directly\nwith common formats of network data including edgelists (class\ndata.frame, data.table, or tbl_df) and adjacency matrices\n(class matrix or dgCMatrix).", "License": "MIT + file LICENSE", "Encoding": "UTF-8", "RoxygenNote": "7.0.2", "Repository": "https://brianaronson.r-universe.dev", "Date/Publication": "2021-11-10 21:19:48 UTC", "RemoteUrl": "https://github.com/brianaronson/birankr", "RemoteRef": "HEAD", "RemoteSha": "498747303d433a4114836adfb94988463519e858", "NeedsCompilation": "no", "Packaged": { "Date": "2026-06-03 10:13:00 UTC", "User": "root" }, "Author": "Brian Aronson [aut, cre],\nKai-Cheng Yang [aut]", "Maintainer": "Brian Aronson ", "MD5sum": 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