{
  "annotation_id": "1244b24c-808d-40e9-8643-74bcef50b455",
  "date_created": "2026-03-02T18:01:00.591000Z",
  "date_modified": "2026-03-02T18:01:00.591000Z",
  "file_hash": "bf79805011dc181e2d08a7cb7c0cb4a2c0570f6bd3facebfe13baf9b93710b68",
  "private": false,
  "record": {
    "abstract": "We study the statistical properties of large random networks with specified\ndegree distributions. New techniques are presented for analyzing the structure\nof social networks. Specifically, we address the question of how many nodes\nexist at a distance from a given node. We also explore the degree distribution\nof for nodes at some distance from a given node. Implications for network\nsampling and diffusion on social networks are described.",
    "arxiv_id": "physics/0509129",
    "authors": [
      "Erik Volz"
    ],
    "categories": [
      "physics.soc-ph"
    ],
    "title": "Tomography of random social networks",
    "url": "https://arxiv.org/abs/physics/0509129"
  },
  "schema_id": "dorsal/arxiv",
  "source": {
    "execution_id": "cb593474-8f46-44d8-b889-5e6f51c662fd",
    "id": "arXiv Dataset IDs",
    "type": "Model",
    "variant": "snapshot-2026-03-01",
    "version": "0.1.0"
  },
  "user_id": 1000002
}