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  "Title": "Implements the Leiden Algorithm via an R Interface",
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  "Authors@R": "c(person(\"Peter\", \"Kharchenko\", email = \"Peter_Kharchenko@hms.harvard.edu\", role = c(\"aut\")), \nperson(\"Viktor\", \"Petukhov\", email = \"viktor.s.petukhov@ya.ru\", role = c(\"aut\")),\nperson(\"Yichen\", \"Wang\", email = \"wayichen@umich.edu\", role=c(\"aut\")),\nperson(\"V.A.\", \"Traag\", email = \"v.a.traag@cwts.leidenuniv.nl\", role = c(\"ctb\")),\nperson(\"Gábor\", \"Csárdi\", email = \"sardi.gabor@gmail.com\", role = c(\"ctb\")),\nperson(\"Tamás\", \"Nepusz\", email = \"ntamas@gmail.com\", role = c(\"ctb\")),\nperson(\"Minh Van\", \"Nguyen\", email = \"nguyenminh2@gmail.com\", role = c(\"ctb\")),\nperson(\"Evan\", \"Biederstedt\", email = \"evan.biederstedt@gmail.com\", role=c(\"cre\", \"aut\")))",
  "Description": "An R interface to the Leiden algorithm, an iterative\ncommunity detection algorithm on networks. The algorithm is\ndesigned to converge to a partition in which all subsets of all\ncommunities are locally optimally assigned, yielding\ncommunities guaranteed to be connected. The implementation\nproves to be fast, scales well, and can be run on graphs of\nmillions of nodes (as long as they can fit in memory). The\noriginal implementation was constructed as a python interface\n\"leidenalg\" found here: <https://github.com/vtraag/leidenalg>.\nThe algorithm was originally described in Traag, V.A., Waltman,\nL. & van Eck, N.J. \"From Louvain to Leiden: guaranteeing\nwell-connected communities\". Sci Rep 9, 5233 (2019)\n<doi:10.1038/s41598-019-41695-z>.",
  "License": "GPL-3",
  "Copyright": "See the file COPYRIGHTS for various leidenAlg copyright\ndetails",
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  "Author": "Peter Kharchenko [aut], Viktor Petukhov [aut], Yichen Wang\n[aut], V.A. Traag [ctb], Gábor Csárdi [ctb], Tamás Nepusz\n[ctb], Minh Van Nguyen [ctb], Evan Biederstedt [cre, aut]",
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  "Date/Publication": "2026-05-31 03:27:27 UTC",
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      "title": "Conos graph",
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      "table": false,
      "tojson": false
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      "title": "Returns pre-calculated dendrogram",
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      ]
    },
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        "find_partition"
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    },
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        "find_partition_rcpp"
      ]
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      "title": "Finds the optimal partition using the Leiden algorithm",
      "topics": [
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      "title": "Leiden algorithm community detection Detects communities using Leiden algorithm (implementation copied from https://github.com/vtraag/leidenalg)",
      "topics": [
        "leiden.community"
      ]
    },
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      "title": "Recursive leiden communities Constructs an n-step recursive clustering, using leiden.community",
      "topics": [
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      "buildurl": "https://github.com/r-universe/kharchenkolab/actions/runs/30073756462"
    }
  ]
}