{
  "annotation_id": "c0a49d86-8f2b-40b0-968a-c5e3c3d81de6",
  "date_created": "2026-03-02T18:00:57.170000Z",
  "date_modified": "2026-03-02T18:00:57.170000Z",
  "file_hash": "46b0a833c4fac359971d1263b8a91c6423f2ba4f4f513f03e941d0ee9b3bb42e",
  "private": false,
  "record": {
    "abstract": "We study centrality in urban street patterns of different world cities\nrepresented as networks in geographical space. The results indicate that a\nspatial analysis based on a set of four centrality indices allows an extended\nvisualization and characterization of the city structure. Planned and\nself-organized cities clearly belong to two different universality classes. In\nparticular, self-organized cities exhibit scale-free properties similar to\nthose found in the degree distributions of non-spatial networks.",
    "arxiv_id": "physics/0504163",
    "authors": [
      "Paolo Crucitti",
      "Vito Latora",
      "Sergio Porta"
    ],
    "categories": [
      "physics.soc-ph"
    ],
    "doi": "10.1103/PhysRevE.73.036125",
    "journal_ref": "Phys. Rev. E 73 (2006) 036125.",
    "title": "Centrality Measures in Spatial Networks of Urban Streets",
    "url": "https://arxiv.org/abs/physics/0504163"
  },
  "schema_id": "dorsal/arxiv",
  "source": {
    "execution_id": "8f63e47d-1af4-41ea-96c8-a2fec16a4c8e",
    "id": "arXiv Dataset IDs",
    "type": "Model",
    "variant": "snapshot-2026-03-01",
    "version": "0.1.0"
  },
  "user_id": 1000002
}