{
  "_id": "6abba60a99f7aa8c6aa47778",
  "Package": "Blaunet",
  "Version": "3.0.0",
  "Title": "Calculate and Analyze Blau Statuses for Measuring Social\nDistance",
  "Authors@R": "c(\nperson(\"Cheng\", \"Wang\", role=c(\"aut\",\"cre\"), email=\"chengwang@wayne.edu\"),\nperson(\"Michael\", \"Genkin\", role=c(\"aut\"), email=\"mgenkin@smu.edu.sg\"),\nperson(\"George\", \"Berry\", role=c(\"aut\"), email=\"george.e.berry@gmail.com\"),\nperson(\"Liyuan\", \"Chen\", role=c(\"aut\")),\nperson(\"Matthew\", \"Brashears\", role=c(\"aut\"), email=\"BRASHEAM@mailbox.sc.edu\"))",
  "Description": "Calculate and analyze Blau statuses for quantifying social\ndistance between individuals belonging to organizations.\nRelational (network) data can be incorporated for additional\nanalyses. The methods build on affiliation ecology and Blau\nspace as described by McPherson (1983) <doi:10.2307/2117719>,\nMcPherson and Ranger-Moore (1991) <doi:10.1093/sf/70.1.19>,\nMcPherson, Popielarz and Drobnic (1992) <doi:10.2307/2096202>,\nMcPherson and Rotolo (1996) <doi:10.2307/2096330>, and\nMcPherson (2004) <doi:10.1093/icc/13.1.263>. The implementation\nof Blau-space analyses in 'Blaunet' is described by Genkin et\nal. (2018) <doi:10.1371/journal.pone.0204990>. This project is\nsupported by the Defense Threat Reduction Agency (DTRA) Grant\nHDTRA-10-1-0043.",
  "License": "GPL-3",
  "URL": "https://www.facebook.com/groups/425015561030239/",
  "NeedsCompilation": "no",
  "Packaged": {
    "Date": "2026-09-29 10:40:30 UTC",
    "User": "root"
  },
  "Author": "Cheng Wang [aut, cre], Michael Genkin [aut], George Berry\n[aut], Liyuan Chen [aut], Matthew Brashears [aut]",
  "Maintainer": "Cheng Wang <chengwang@wayne.edu>",
  "Config/pak/sysreqs": "cmake libfreetype6-dev libglu1-mesa-dev make\ntexlive libicu-dev libpng-dev libuv1-dev libgl1-mesa-dev\nzlib1g-dev",
  "Repository": "https://socnetfan.r-universe.dev",
  "Date/Publication": "2026-09-28 13:50:02 UTC",
  "RemoteUrl": "https://github.com/cran/Blaunet",
  "RemoteRef": "HEAD",
  "RemoteSha": "7d98049405ccf3aa92b95b21eb52259e4d7fcb52",
  "_user": "socnetfan",
  "_type": "src",
  "_file": "Blaunet_3.0.0.tar.gz",
  "_fileid": "https://r2.ropensci.org/90ddcf961c76ba44b1a06dda9fba5b9131f6c31d2ab8bb0716a01bd5353498eb",
  "_filesize": 766528,
  "_sha256": "90ddcf961c76ba44b1a06dda9fba5b9131f6c31d2ab8bb0716a01bd5353498eb",
  "_expires": "2027-01-07T11:50:32.000Z",
  "_created": "2026-09-29T10:40:30.000Z",
  "_published": "2026-09-29T11:50:34.253Z",
  "_jobs": [
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  "_host": "GitHub-Actions",
  "_buildurl": "https://github.com/r-universe/socnetfan/actions/runs/36556642630",
  "_status": "success",
  "_upstream": "https://github.com/cran/Blaunet",
  "_commit": {
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    "author": "Cheng Wang <chengwang@wayne.edu>",
    "committer": "cran-robot <csardi.gabor+cran@gmail.com>",
    "message": "version 3.0.0\n",
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    "email": "chengwang@wayne.edu",
    "login": "socnetfan",
    "description": "",
    "uuid": 38355577
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  "_registered": true,
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    },
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      "role": "Imports"
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    },
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    },
    {
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      "role": "Imports"
    }
  ],
  "_owner": "cran",
  "_selfowned": true,
  "_usedby": 0,
  "_updates": [
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      "week": "2026-40",
      "n": 1
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  ],
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      "name": "3.0.0",
      "date": "2026-09-28"
    }
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  "_stars": 1,
  "_contributors": [
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    "type": "user",
    "name": "socnetfan",
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  },
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    "source": "https://cranlogs.r-pkg.org/downloads/total/last-month/Blaunet"
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  "_rbuild": "4.6.1",
  "_assets": [
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    "extra/citation.cff",
    "extra/citation.html",
    "extra/citation.json",
    "extra/citation.txt",
    "extra/contents.json",
    "extra/manual.pdf"
  ],
  "_realowner": "socnetfan",
  "_cranurl": false,
  "_releases": [
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      "version": "1.0.0",
      "date": "2014-01-21"
    },
    {
      "version": "1.0.1",
      "date": "2014-04-14"
    },
    {
      "version": "2.0.1",
      "date": "2015-12-27"
    },
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    },
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      "date": "2016-04-01"
    },
    {
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      "date": "2022-09-27"
    },
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      "date": "2026-09-28"
    }
  ],
  "_exports": [
    "active",
    "blau",
    "blaunetgui",
    "dyadic",
    "ecology.summary",
    "export.dyadic",
    "export.nodal",
    "niche.summary",
    "niches",
    "nodal.global",
    "nodal.local",
    "nodal.network"
  ],
  "_datasets": [
    {
      "name": "BSANet",
      "title": "Example dataset for relational measures.",
      "object": "BSANet",
      "file": "BSANet.rda",
      "class": [
        "list"
      ],
      "fields": [],
      "table": false,
      "tojson": true
    },
    {
      "name": "gss74_87",
      "title": "Example attribute dataset from General Social Survey (GSS).",
      "object": "gss74_87",
      "file": "gss74_87.rda",
      "class": [
        "data.frame"
      ],
      "fields": [
        "YEAR",
        "PRESTIGE",
        "EDUC",
        "MEMFRAT",
        "MEMSERV",
        "MEMVET",
        "MEMPOLIT",
        "MEMUNION",
        "MEMSPORT",
        "MEMYOUTH",
        "MEMSCHL",
        "MEMHOBBY",
        "MEMGREEK",
        "MEMNAT",
        "MEMFARM",
        "MEMLIT",
        "MEMPROF",
        "MEMCHURH",
        "MEMOTHER",
        "ID"
      ],
      "rows": 13865,
      "table": true,
      "tojson": true
    },
    {
      "name": "schlattr",
      "title": "Example attribute dataset from Add Health.",
      "object": "schlattr",
      "file": "schlattr.rda",
      "class": [
        "data.frame"
      ],
      "fields": [
        "id",
        "female",
        "age",
        "white",
        "black",
        "indian",
        "asian",
        "other",
        "grade",
        "bornus",
        "languagehome",
        "religion",
        "ppvt",
        "pmaturity",
        "bmi",
        "happy",
        "depressed",
        "physicalattract",
        "personalityattract",
        "houseincome",
        "parenteduc",
        "studygroup",
        "artisticgroup",
        "sportteam",
        "religiongroup",
        "ganggroup"
      ],
      "rows": 100,
      "table": true,
      "tojson": true
    },
    {
      "name": "schlnet",
      "title": "Example network dataset simulated based on the attribute dataset from Add Health.",
      "object": "schlnet",
      "file": "schlnet.rda",
      "class": [
        "data.frame"
      ],
      "fields": [
        "V1",
        "V2",
        "V3",
        "V4",
        "V5",
        "V6",
        "V7",
        "V8",
        "V9",
        "V10",
        "V11",
        "V12",
        "V13",
        "V14",
        "V15",
        "V16",
        "V17",
        "V18",
        "V19",
        "V20",
        "V21",
        "V22",
        "V23",
        "V24",
        "V25",
        "V26",
        "V27",
        "V28",
        "V29",
        "V30",
        "V31",
        "V32",
        "V33",
        "V34",
        "V35",
        "V36",
        "V37",
        "V38",
        "V39",
        "V40",
        "V41",
        "V42",
        "V43",
        "V44",
        "V45",
        "V46",
        "V47",
        "V48",
        "V49",
        "V50",
        "V51",
        "V52",
        "V53",
        "V54",
        "V55",
        "V56",
        "V57",
        "V58",
        "V59",
        "V60",
        "V61",
        "V62",
        "V63",
        "V64",
        "V65",
        "V66",
        "V67",
        "V68",
        "V69",
        "V70",
        "V71",
        "V72",
        "V73",
        "V74",
        "V75",
        "V76",
        "V77",
        "V78",
        "V79",
        "V80",
        "V81",
        "V82",
        "V83",
        "V84",
        "V85",
        "V86",
        "V87",
        "V88",
        "V89",
        "V90",
        "V91",
        "V92",
        "V93",
        "V94",
        "V95",
        "V96",
        "V97",
        "V98",
        "V99",
        "V100"
      ],
      "rows": 100,
      "table": true,
      "tojson": true
    },
    {
      "name": "TwoCities",
      "title": "Example social capital dataset",
      "object": "TwoCities",
      "file": "TwoCities.rda",
      "class": [
        "data.frame"
      ],
      "fields": [
        "respID",
        "samp",
        "age",
        "income",
        "educ",
        "wrktime",
        "grprel",
        "grpsport",
        "grpyouth",
        "grppta",
        "grpvet",
        "grpnei",
        "grpeld",
        "grpsoc",
        "grplab",
        "grpprof",
        "grpfrat",
        "grpeth",
        "grppol",
        "grpart",
        "grphob",
        "grpself",
        "grpwww",
        "grpothr",
        "gender",
        "race",
        "ideo",
        "trust",
        "friends",
        "divrsity"
      ],
      "rows": 1008,
      "table": true,
      "tojson": true
    }
  ],
  "_help": [
    {
      "page": "Blaunet-package",
      "title": "Calculate and Analyze Blau statuses for Measuring Social Distance",
      "topics": [
        "blaunet"
      ]
    },
    {
      "page": "active",
      "title": "Quick summary of blau object.",
      "topics": [
        "active"
      ]
    },
    {
      "page": "blau",
      "title": "Converts raw data into an object for Blau status analysis",
      "topics": [
        "blau"
      ]
    },
    {
      "page": "blaunetgui",
      "title": "Run Blau status analysis in graphic user interface (GUI).",
      "topics": [
        "blaunetgui"
      ]
    },
    {
      "page": "BSANet",
      "title": "Example dataset for relational measures.",
      "topics": [
        "BSANet"
      ]
    },
    {
      "page": "dyadic",
      "title": "Computes dyadic Blau status measures.",
      "topics": [
        "dyadic"
      ]
    },
    {
      "page": "ecology.summary",
      "title": "Summarizes the distribution of individuals across niches.",
      "topics": [
        "ecology.summary"
      ]
    },
    {
      "page": "export.dyadic",
      "title": "Outputs Dyadic-Level Measures",
      "topics": [
        "export.dyadic"
      ]
    },
    {
      "page": "export.nodal",
      "title": "Outputs all node-level measures computed by the user",
      "topics": [
        "export.nodal"
      ]
    },
    {
      "page": "gss74_87",
      "title": "Example attribute dataset from General Social Survey (GSS).",
      "topics": [
        "gss74_87"
      ]
    },
    {
      "page": "niche.summary",
      "title": "Summarizes information on each membership organization",
      "topics": [
        "niche.summary"
      ]
    },
    {
      "page": "niches",
      "title": "Locate individuals in organizational niches in Blau space",
      "topics": [
        "niches"
      ]
    },
    {
      "page": "nodal.global",
      "title": "Compute Blau statues for individuals across all niches",
      "topics": [
        "nodal.global"
      ]
    },
    {
      "page": "nodal.local",
      "title": "Computes Blau statuses for individuals with respect to a primary membership",
      "topics": [
        "nodal.local"
      ]
    },
    {
      "page": "nodal.network",
      "title": "Computes nodal spanners",
      "topics": [
        "nodal.network"
      ]
    },
    {
      "page": "schlattr",
      "title": "Example attribute dataset from Add Health.",
      "topics": [
        "schlattr"
      ]
    },
    {
      "page": "schlnet",
      "title": "Example network dataset simulated based on the attribute dataset from Add Health.",
      "topics": [
        "schlnet"
      ]
    },
    {
      "page": "TwoCities",
      "title": "Example social capital dataset",
      "topics": [
        "TwoCities"
      ]
    }
  ],
  "_rundeps": [
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    "bslib",
    "cachem",
    "cli",
    "coda",
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    "DEoptimR",
    "digest",
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  ],
  "_score": 1,
  "_indexed": true,
  "_nocasepkg": "blaunet",
  "_universes": [
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      "commit": "7d98049405ccf3aa92b95b21eb52259e4d7fcb52",
      "fileid": "https://r2.ropensci.org/6f3b771361e87ee5de0c52c2f1c25d1bd4c6d855bff203e2c0e68791166cdb71",
      "status": "success",
      "check": "OK",
      "buildurl": "https://github.com/r-universe/socnetfan/actions/runs/36556642630"
    }
  ]
}