{
  "annotation_id": "970d27f5-0477-4c76-99d1-db10f7b3d1d5",
  "date_created": "2026-03-02T18:01:00.848000Z",
  "date_modified": "2026-03-02T18:01:00.848000Z",
  "file_hash": "41c0b48b80db9e760d302797601cad846abf9d09d0f9007444720277c8448b8c",
  "private": false,
  "record": {
    "abstract": "In this paper, we studied the research areas of Chinese natural science basic\nresearch from a point view of complex network. Two research areas are\nconsidered to be connected if they appear in one fund proposal. The explicit\nnetwork of such connections using data from 1999 to 2004 is constructed. The\nanalysis of the real data shows that the degree distribution of the {\\bf\nresearch areas network} (RAN) may be better fitted by the exponential\ndistribution. It displays small world effect in which randomly chosen pairs of\nresearch areas are typically separated by only a short path of intermediate\nresearch areas. The average distance of RAN decreases with time, while the\naverage clustering coefficient increases with time, which indicates that the\nscientific study would like to be integrated together in terms of the studied\nareas. The relationship between the clustering coefficient $C(k)$ and the\ndegree $k$ indicates that there is no hierarchical organization in RAN.",
    "arxiv_id": "physics/0509183",
    "authors": [
      "Jianguo Liu",
      "Yanzhong Dang",
      "Zhongtuo Wang"
    ],
    "categories": [
      "physics.soc-ph"
    ],
    "doi": "10.1016/j.physa.2005.10.036",
    "title": "Complex Network Properties of Chinese Natural Science Basic Research",
    "url": "https://arxiv.org/abs/physics/0509183"
  },
  "schema_id": "dorsal/arxiv",
  "source": {
    "execution_id": "9e5723dc-7409-444d-8ff5-d4dd331e0667",
    "id": "arXiv Dataset IDs",
    "type": "Model",
    "variant": "snapshot-2026-03-01",
    "version": "0.1.0"
  },
  "user_id": 1000002
}