{
  "channels": [
    "conda-forge",
    "defaults"
  ],
  "conda_build_version": "3.15.1",
  "conda_private": false,
  "conda_version": "4.5.11",
  "env_vars": {
    "CIO_TEST": "<not set>"
  },
  "extra": {
    "copy_test_source_files": true,
    "final": true,
    "recipe-maintainers": [
      "dpryan79",
      "johanneskoester",
      "bgruening",
      "daler"
    ]
  },
  "home": "https://CRAN.R-project.org/package=blockmodeling",
  "identifiers": [],
  "keywords": [],
  "license": "GPL (>= 2)",
  "license_family": "GPL3",
  "root_pkgs": [
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    "python 3.6.5 h0c2934d_0",
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    "pytz 2018.5 py_0",
    "pywin32 223 py36hfa6e2cd_1",
    "pyyaml 3.13 py36hfa6e2cd_1001",
    "requests 2.18.4 py36h4371aae_1",
    "ruamel_yaml 0.15.37 py36hfa6e2cd_2",
    "setuptools 39.2.0 py36_0",
    "six 1.11.0 py36h4db2310_1",
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    "urllib3 1.22 py36h276f60a_0",
    "vc 14 h0510ff6_3",
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  "summary": "This is primarily meant as an implementation of generalized blockmodeling for valued networks. In addition, measures of similarity or dissimilarity based on structural equivalence and  regular equivalence (REGE algorithms) can be computed and partitioned matrices can be plotted: \u017diberna (2007)<doi:10.1016/j.socnet.2006.04.002>, \u017diberna (2008)<doi:10.1080/00222500701790207>, \u017diberna (2014)<doi:10.1016/j.socnet.2014.04.002>.",
  "tags": []
}