{
  "annotation_id": "d157e3db-52ad-439c-8131-3d22fb725d01",
  "date_created": "2026-03-02T18:01:07.153000Z",
  "date_modified": "2026-03-02T18:01:07.153000Z",
  "file_hash": "790e6f4922abcdc92421638f95cd15ce42522045e625c9abf94766d65c48581f",
  "private": false,
  "record": {
    "abstract": "We study geographical effects on the spread of diseases in lattice-embedded\nscale-free networks. The geographical structure is represented by the\nconnecting probability of two nodes that is related to the Euclidean distance\nbetween them in the lattice. By studying the standard Susceptible-Infected\nmodel, we found that the geographical structure has great influences on the\ntemporal behavior of epidemic outbreaks and the propagation in the underlying\nnetwork: the more geographically constrained the network is, the more smoothly\nthe epidemic spreads.",
    "arxiv_id": "physics/0604187",
    "authors": [
      "Xin-Jian Xu",
      "Zhi-Xi Wu",
      "Guanrong Chen"
    ],
    "categories": [
      "physics.soc-ph"
    ],
    "doi": "10.1016/j.physa.2006.11.023",
    "journal_ref": "Physica A 377, 125 (2007)",
    "title": "Epidemic spreading in lattice-embedded scale-free networks",
    "url": "https://arxiv.org/abs/physics/0604187"
  },
  "schema_id": "dorsal/arxiv",
  "source": {
    "execution_id": "86cf6d91-0420-4a11-8c33-697842e20dc4",
    "id": "arXiv Dataset IDs",
    "type": "Model",
    "variant": "snapshot-2026-03-01",
    "version": "0.1.0"
  },
  "user_id": 1000002
}