{
  "annotation_id": "081b85e0-1351-4da5-a123-01e3e5fa1f47",
  "date_created": "2026-03-02T18:01:00.767000Z",
  "date_modified": "2026-03-02T18:01:00.767000Z",
  "file_hash": "ab40be331ad0f2a942cee81697af87346aaa62c3056a7c9dee7b4c087eef472c",
  "private": false,
  "record": {
    "abstract": "Recently, motivated by the pioneer works that reveal the small-world effect\nand scale-free property of various real-life networks, many scientists devote\nthemselves into studying complex networks. One of the ultimate goals is to\nunderstand how the topological structures of networks affect the dynamics upon\nthem. In this paper, we give a brief review on the studies of epidemic dynamics\non complex networks, including the description of classical epidemic models,\nthe epidemic spread on small-world and scale-free networks, and network\nimmunization. Finally, a prospect is addressed and some interesting problems\nare listed.",
    "arxiv_id": "physics/0508096",
    "authors": [
      "Tao Zhou",
      "Zhong-Qian Fu",
      "Bing-Hong Wang"
    ],
    "categories": [
      "physics.soc-ph"
    ],
    "journal_ref": "Progress in Natural Science, 16(5): 452-457 (2006)",
    "title": "Epidemic dynamics on complex networks",
    "url": "https://arxiv.org/abs/physics/0508096"
  },
  "schema_id": "dorsal/arxiv",
  "source": {
    "execution_id": "e535a905-de64-4c04-8cb9-b3e012c8fdb9",
    "id": "arXiv Dataset IDs",
    "type": "Model",
    "variant": "snapshot-2026-03-01",
    "version": "0.1.0"
  },
  "user_id": 1000002
}