{
  "_id": "6a42506f4ba05a737d8a483b",
  "Type": "Package",
  "Package": "globaltrends",
  "Title": "Download and Measure Global Trends Through 'Google' Search\nVolumes",
  "Version": "0.2.0",
  "Authors@R": "c(\nperson(\"Harald\", \"Puhr\", email = \"harald.puhr@gmail.com\", role = c(\"aut\", \"cre\", \"cph\"), comment = c(ORCID = \"0000-0002-3308-9553\")),\nperson(\"Jakob\", \"Muellner\", role = \"ccp\", comment = c(ORCID = \"0000-0002-3443-0469\"))\n)",
  "Description": "'Google' offers public access to global search volumes\nfrom its search engine through the 'Google Trends' portal. The\npackage downloads these search volumes provided by 'Google\nTrends' and uses them to measure and analyze the distribution\nof search scores across countries or within countries. The\npackage allows researchers and analysts to use these search\nscores to investigate global trends based on patterns within\nthese scores. This offers insights such as degree of\ninternationalization of firms and organizations or\ndissemination of political, social, or technological trends\nacross the globe or within single countries.  An outline of the\npackage's methodological foundations and potential applications\nis available as a working paper:\n<https://www.ssrn.com/abstract=3969013>.",
  "License": "MIT + file LICENSE",
  "URL": "https://github.com/ha-pu/globaltrends/",
  "BugReports": "https://github.com/ha-pu/globaltrends/issues/",
  "Config/testthat/edition": "3",
  "VignetteBuilder": "knitr",
  "Encoding": "UTF-8",
  "Language": "en-US",
  "LazyData": "true",
  "Roxygen": "list(markdown = TRUE)",
  "Config/roxygen2/version": "8.0.0",
  "Config/pak/sysreqs": "cmake libicu-dev libpng-dev libssl-dev python3",
  "Repository": "https://ha-pu.r-universe.dev",
  "Date/Publication": "2026-06-29 07:45:36 UTC",
  "RemoteUrl": "https://github.com/ha-pu/globaltrends",
  "RemoteRef": "HEAD",
  "RemoteSha": "b061ef2d2830522e4d64dfd9cecb83c4b862a46b",
  "NeedsCompilation": "no",
  "Packaged": {
    "Date": "2026-06-29 10:56:33 UTC",
    "User": "root"
  },
  "Author": "Harald Puhr [aut, cre, cph] (ORCID:\n<https://orcid.org/0000-0002-3308-9553>),\nJakob Muellner [ccp] (ORCID: <https://orcid.org/0000-0002-3443-0469>)",
  "Maintainer": "Harald Puhr <harald.puhr@gmail.com>",
  "MD5sum": "8e99ce07f1a6685a78ef6ca6e7d4e194",
  "_user": "ha-pu",
  "_type": "src",
  "_file": "globaltrends_0.2.0.tar.gz",
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  "_filesize": 2984462,
  "_sha256": "f7441835279a0b8f4165ecb9ff243a809fe2acedefbf7aa3448c848538dd9d76",
  "_created": "2026-06-29T10:56:33.000Z",
  "_published": "2026-06-29T11:01:03.710Z",
  "_distro": "resolute",
  "_jobs": [
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      "package": "R",
      "version": ">= 4.1.0",
      "role": "Depends"
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      "package": "arrow",
      "version": ">= 14.0.0",
      "role": "Imports"
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  "_selfowned": true,
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  "_updates": [
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      "week": "2025-48",
      "n": 8
    },
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      "name": "v.0.1.0",
      "date": "2026-01-25"
    }
  ],
  "_topics": [
    "google-trends",
    "internationalization"
  ],
  "_stars": 19,
  "_contributors": [
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      "count": 1071,
      "uuid": 66355167
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  },
  "_downloads": {
    "count": 268,
    "source": "https://cranlogs.r-pkg.org/downloads/total/last-month/globaltrends"
  },
  "_devurl": "https://github.com/ha-pu/globaltrends",
  "_searchresults": 15,
  "_rbuild": "4.6.1",
  "_assets": [
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    "extra/citation.html",
    "extra/citation.json",
    "extra/citation.txt",
    "extra/contents.json",
    "extra/globaltrends.html",
    "extra/NEWS.html",
    "extra/NEWS.txt",
    "extra/readme.html",
    "extra/readme.md",
    "LICENSE",
    "manual.pdf"
  ],
  "_homeurl": "https://github.com/ha-pu/globaltrends",
  "_realowner": "ha-pu",
  "_cranurl": true,
  "_releases": [
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      "date": "2022-06-23"
    },
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      "version": "0.0.13",
      "date": "2023-02-23"
    },
    {
      "version": "0.0.14",
      "date": "2023-03-06"
    }
  ],
  "_exports": [
    "add_control_keyword",
    "add_locations",
    "add_object_keyword",
    "add_synonym",
    "aggregate_synonyms",
    "compute_doi",
    "compute_score",
    "compute_voi",
    "disconnect_db",
    "download_control",
    "download_control_global",
    "download_object",
    "download_object_global",
    "download_region",
    "download_region_global",
    "download_related",
    "download_themes",
    "download_themes_global",
    "download_themes_rising",
    "download_themes_rising_global",
    "download_topics",
    "download_topics_global",
    "download_topics_rising",
    "download_topics_rising_global",
    "export_control",
    "export_control_global",
    "export_doi",
    "export_object",
    "export_object_global",
    "export_score",
    "export_voi",
    "get_api_usage",
    "gt.env",
    "initialize_db",
    "initialize_python",
    "remove_data",
    "start_db",
    "vacuum_data"
  ],
  "_datasets": [
    {
      "name": "countries",
      "title": "Default location set: countries",
      "object": "countries",
      "class": [
        "character"
      ],
      "fields": [],
      "table": false,
      "tojson": true
    },
    {
      "name": "countries_wdi",
      "title": "Country codes and names from WDI",
      "object": "countries_wdi",
      "class": [
        "data.frame"
      ],
      "fields": [
        "iso2c",
        "country"
      ],
      "rows": 299,
      "table": true,
      "tojson": true
    },
    {
      "name": "example_control",
      "title": "Example table: control downloads ('data_control')",
      "object": "example_control",
      "class": [
        "tbl_df",
        "tbl",
        "data.frame"
      ],
      "fields": [
        "location",
        "keyword",
        "hits",
        "date",
        "batch"
      ],
      "rows": 2400,
      "table": true,
      "tojson": true
    },
    {
      "name": "example_doi",
      "title": "Example table: degree of internationalization ('data_doi')",
      "object": "example_doi",
      "class": [
        "tbl_df",
        "tbl",
        "data.frame"
      ],
      "fields": [
        "keyword",
        "batch_o",
        "date",
        "batch_c",
        "locations",
        "entropy",
        "gini",
        "hhi"
      ],
      "rows": 1680,
      "table": true,
      "tojson": true
    },
    {
      "name": "example_keywords",
      "title": "Example table: keyword batches ('batch_keywords')",
      "object": "example_keywords",
      "class": [
        "tbl_df",
        "tbl",
        "data.frame"
      ],
      "fields": [
        "type",
        "batch",
        "keyword"
      ],
      "rows": 19,
      "table": true,
      "tojson": true
    },
    {
      "name": "example_object",
      "title": "Example table: object downloads ('data_object')",
      "object": "example_object",
      "class": [
        "tbl_df",
        "tbl",
        "data.frame"
      ],
      "fields": [
        "location",
        "keyword",
        "batch_o",
        "hits",
        "date",
        "batch_c"
      ],
      "rows": 8640,
      "table": true,
      "tojson": true
    },
    {
      "name": "example_score",
      "title": "Example table: computed scores ('data_score')",
      "object": "example_score",
      "class": [
        "tbl_df",
        "tbl",
        "data.frame"
      ],
      "fields": [
        "location",
        "keyword",
        "batch_o",
        "score",
        "date",
        "batch_c"
      ],
      "rows": 6000,
      "table": true,
      "tojson": true
    },
    {
      "name": "example_time",
      "title": "Example table: batch time windows ('batch_time')",
      "object": "example_time",
      "class": [
        "tbl_df",
        "tbl",
        "data.frame"
      ],
      "fields": [
        "type",
        "batch",
        "start_date",
        "end_date"
      ],
      "rows": 5,
      "table": true,
      "tojson": true
    },
    {
      "name": "us_states",
      "title": "Default location set: US states",
      "object": "us_states",
      "class": [
        "character"
      ],
      "fields": [],
      "table": false,
      "tojson": true
    }
  ],
  "_help": [
    {
      "page": "add_keyword",
      "title": "Add batches of control or object keywords",
      "topics": [
        "add_control_keyword",
        "add_keyword",
        "add_object_keyword"
      ]
    },
    {
      "page": "add_locations",
      "title": "Add a location set",
      "topics": [
        "add_locations"
      ]
    },
    {
      "page": "add_synonym",
      "title": "Add synonyms for object keywords",
      "topics": [
        "add_synonym"
      ]
    },
    {
      "page": "aggregate_synonyms",
      "title": "Aggregate search scores across synonym terms",
      "topics": [
        "aggregate_synonyms"
      ]
    },
    {
      "page": "batch_keywords",
      "title": "Example table: keyword batches ('batch_keywords')",
      "topics": [
        "batch_keywords",
        "example_keywords"
      ]
    },
    {
      "page": "batch_time",
      "title": "Example table: batch time windows ('batch_time')",
      "topics": [
        "batch_time",
        "example_time"
      ]
    },
    {
      "page": "compute_doi",
      "title": "Compute degree of internationalization (DOI)",
      "topics": [
        "compute_doi",
        "compute_doi.list",
        "compute_doi.numeric"
      ]
    },
    {
      "page": "compute_score",
      "title": "Compute search scores for object keywords",
      "topics": [
        "compute_score",
        "compute_score.list",
        "compute_score.numeric",
        "compute_voi"
      ]
    },
    {
      "page": "countries",
      "title": "Default location set: countries",
      "topics": [
        "countries"
      ]
    },
    {
      "page": "countries_wdi",
      "title": "Country codes and names from WDI",
      "topics": [
        "countries_wdi"
      ]
    },
    {
      "page": "data_control",
      "title": "Example table: control downloads ('data_control')",
      "topics": [
        "data_control",
        "example_control"
      ]
    },
    {
      "page": "data_doi",
      "title": "Example table: degree of internationalization ('data_doi')",
      "topics": [
        "data_doi",
        "example_doi"
      ]
    },
    {
      "page": "data_object",
      "title": "Example table: object downloads ('data_object')",
      "topics": [
        "data_object",
        "example_object"
      ]
    },
    {
      "page": "data_score",
      "title": "Example table: computed scores ('data_score')",
      "topics": [
        "data_score",
        "example_score"
      ]
    },
    {
      "page": "disconnect_db",
      "title": "Disconnect from the database and persist changes",
      "topics": [
        "disconnect_db"
      ]
    },
    {
      "page": "download_control",
      "title": "Download data for control keyword batches",
      "topics": [
        "download_control",
        "download_control.list",
        "download_control.numeric",
        "download_control_global"
      ]
    },
    {
      "page": "download_object",
      "title": "Download data for object keyword batches",
      "topics": [
        "download_object",
        "download_object.list",
        "download_object.numeric",
        "download_object_global"
      ]
    },
    {
      "page": "download_region",
      "title": "Download regional interest data for object keywords",
      "topics": [
        "download_region",
        "download_region.list",
        "download_region.numeric",
        "download_region_global"
      ]
    },
    {
      "page": "download_related",
      "title": "Download related topics and themes for object keyword batches",
      "topics": [
        "download_related",
        "download_related.list",
        "download_related.numeric",
        "download_themes",
        "download_themes_global",
        "download_themes_rising",
        "download_themes_rising_global",
        "download_topics",
        "download_topics_global",
        "download_topics_rising",
        "download_topics_rising_global"
      ]
    },
    {
      "page": "export_data",
      "title": "Export data from database tables",
      "topics": [
        "export_control",
        "export_control_global",
        "export_doi",
        "export_object",
        "export_object_global",
        "export_score",
        "export_voi"
      ]
    },
    {
      "page": "get_api_usage",
      "title": "Report daily Research API usage",
      "topics": [
        "get_api_usage"
      ]
    },
    {
      "page": "gt.env",
      "title": "Package environment for internal state",
      "topics": [
        "gt.env"
      ]
    },
    {
      "page": "initialize_db",
      "title": "Initialize the local database store",
      "topics": [
        "initialize_db"
      ]
    },
    {
      "page": "initialize_python",
      "title": "Initialize Python backend for Google Trends Research API",
      "topics": [
        "initialize_python"
      ]
    },
    {
      "page": "remove_data",
      "title": "Remove data from database tables",
      "topics": [
        "remove_data",
        "vacuum_data"
      ]
    },
    {
      "page": "start_db",
      "title": "Start a database session",
      "topics": [
        "start_db"
      ]
    },
    {
      "page": "us_states",
      "title": "Default location set: US states",
      "topics": [
        "us_states"
      ]
    }
  ],
  "_readme": "https://github.com/ha-pu/globaltrends/raw/HEAD/README.md",
  "_rundeps": [
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  "_vignettes": [
    {
      "source": "globaltrends.Rmd",
      "filename": "globaltrends.html",
      "title": "globaltrends",
      "author": "Harald Puhr",
      "engine": "knitr::rmarkdown",
      "headings": [
        "Google Trends",
        "Google Trends as a measure of internationalization",
        "Volume of internationalization (VOI)",
        "Degree of internationalization (DOI)",
        "Case study: Analyzing firm internationalization",
        "Set up and start the database",
        "Download data from Google Trends",
        "Managing downloads from Google Trends",
        "Downloads using the Google Trends research API",
        "Downloads using gtrendsR",
        "Download control data",
        "Download object data",
        "Compute search scores and internationalization",
        "Compute country search scores and volume of internationalization",
        "Compute degree of internationalization",
        "Exports and plots",
        "Abnormal changes in internationalization",
        "Additional options",
        "Alternative dispersion measures",
        "Alternative sets of locations",
        "Search topics vs search terms",
        "Further applications",
        "References",
        "Appendix A",
        "Appendix B",
        "Releveling of search volumes",
        "Computing search scores"
      ],
      "created": "2020-09-20 18:20:06",
      "modified": "2026-06-29 07:45:36",
      "commits": 32
    }
  ],
  "_score": 5.931966114728173,
  "_indexed": true,
  "_nocasepkg": "globaltrends",
  "_universes": [
    "ha-pu"
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  "_previous": "0.2.0.9000",
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      "status": "success",
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