{
  "annotation_id": "669b4c7f-fa15-4ed3-8976-9e06cd5ff684",
  "date_created": "2026-03-02T18:01:10.526000Z",
  "date_modified": "2026-03-02T18:01:10.526000Z",
  "file_hash": "c87ab8418854d32753c3d46551ee62241ce3b3a3919895b4e3ab73441fc4ac3d",
  "private": false,
  "record": {
    "abstract": "I study the spatial organization of retail commercial activities. These are\norganized in a network comprising \"anti-links\", i.e. links of negative weight.\n  From pure location data, network analysis leads to a community structure that\nclosely follows the commercial classification of the US Department of Labor.\nThe interaction network allows to build a \u0027quality\u0027 index of optimal location\nniches for stores, which has been empirically tested.",
    "arxiv_id": "physics/0608297",
    "authors": [
      "Pablo Jensen"
    ],
    "categories": [
      "physics.soc-ph"
    ],
    "doi": "10.1103/PhysRevE.74.035101",
    "title": "A network-based prediction of retail stores commercial categories and   optimal locations",
    "url": "https://arxiv.org/abs/physics/0608297"
  },
  "schema_id": "dorsal/arxiv",
  "source": {
    "execution_id": "3591abbf-5800-4cd4-8a5c-5cf38b6a69a8",
    "id": "arXiv Dataset IDs",
    "type": "Model",
    "variant": "snapshot-2026-03-01",
    "version": "0.1.0"
  },
  "user_id": 1000002
}