{
  "annotation_id": "83252974-5922-48d7-873a-835afdee38d2",
  "date_created": "2026-03-02T18:00:59.878000Z",
  "date_modified": "2026-03-02T18:00:59.878000Z",
  "file_hash": "73d0f43aef2fd43dacba658118a7a8174f68b10ac61dff944579b7f2ea48c77b",
  "private": false,
  "record": {
    "abstract": "We present a modified \\emph{susceptible-infected-susceptible} (SIS) model on\ncomplex networks, small-world and scale-free, to study epidemic spreading with\nthe effect of time delay which is introduced to the infected phase. Considering\nthe topology of the network, both uniform and degree-dependent delays are\nstudied during the contagion process. We find that the existence of time delay\nwill enhance both outbreaks and prevalence of infectious diseases in the\nnetwork.",
    "arxiv_id": "physics/0508168",
    "authors": [
      "Xin-Jian Xu",
      "Hai-Ou Peng",
      "Xiao-Mei Wang",
      "Ying-Hai Wang"
    ],
    "categories": [
      "physics.soc-ph"
    ],
    "doi": "10.1016/j.physa.2005.11.035",
    "journal_ref": "Physica A 367, 525 (2006).",
    "title": "Epidemic spreading with time delay in complex networks",
    "url": "https://arxiv.org/abs/physics/0508168"
  },
  "schema_id": "dorsal/arxiv",
  "source": {
    "execution_id": "38c46293-d8db-43d7-a1ed-028c1c7464b5",
    "id": "arXiv Dataset IDs",
    "type": "Model",
    "variant": "snapshot-2026-03-01",
    "version": "0.1.0"
  },
  "user_id": 1000002
}