{
  "annotation_id": "aa7de265-cb30-46ab-b713-88726354332a",
  "date_created": "2026-03-02T18:00:57.148000Z",
  "date_modified": "2026-03-02T18:00:57.148000Z",
  "file_hash": "53b8a6ac9d54d58353476057bc0527a90c6cfa9fab37df2041ea97cf3e295150",
  "private": false,
  "record": {
    "abstract": "The correlation between G7 countries has been analysed on the basis of Gross\nDomestic Product using different distance functions i.e. discrete, linear\ncorrelation and distribution distance. The distance matrics is analysed by\nvarious graph methods and the percolation threshold is calculated. The\nglobalization process understood as increas of correlation has been observed.\nThe applications of different distance function discussed.",
    "arxiv_id": "physics/0504099",
    "authors": [
      "J. Mi\u015bkiewicz",
      "M. Ausloos"
    ],
    "categories": [
      "physics.soc-ph",
      "cond-mat.stat-mech"
    ],
    "journal_ref": "Practical Fruits of Econophysics, H. Takayasu, Ed. (Springer,\n  Tokyo, 2006) pp. 312-316",
    "title": "G7 country Gross Domestic Product (GDP) time correlations. A graph   network analysis",
    "url": "https://arxiv.org/abs/physics/0504099"
  },
  "schema_id": "dorsal/arxiv",
  "source": {
    "execution_id": "00188596-d811-4c4a-a168-c16d27833501",
    "id": "arXiv Dataset IDs",
    "type": "Model",
    "variant": "snapshot-2026-03-01",
    "version": "0.1.0"
  },
  "user_id": 1000002
}