{
  "annotation_id": "cc67edd3-745d-4b48-af93-37caf97754be",
  "date_created": "2026-03-02T18:01:35.498000Z",
  "date_modified": "2026-03-02T18:01:35.498000Z",
  "file_hash": "77520f04f8a807fa83a17d3071eca4e137e82031c85d0074e022128377f9398a",
  "private": false,
  "record": {
    "abstract": "We propose a novel network growth model coupled with the competition\ninteraction to simulate macroevolution. Our work shows that the competition\nplays an important role in macroevolution and it is more rational to describe\nthe interaction between species by network structures. Our model presents a\ncomplete picture of the development of phyla and the splitting process. It is\nfound that periodic mass extinction occurred in our networks without any\nextraterrestrial factors and the lifetime distribution of species is very close\nto fossil record. We also perturb networks with two scenarios of mass\nextinctions on different hierarchic levels in order to study their recovery.",
    "arxiv_id": "q-bio/0608037",
    "authors": [
      "Shao-Meng Qin",
      "Yong Chen",
      "Pan Zhang"
    ],
    "categories": [
      "q-bio.PE"
    ],
    "doi": "10.1088/1367-2630/9/7/220",
    "journal_ref": "New J. Phys. 9 (2007) 220",
    "title": "Network growth approach to macroevolution",
    "url": "https://arxiv.org/abs/q-bio/0608037"
  },
  "schema_id": "dorsal/arxiv",
  "source": {
    "execution_id": "5e915964-bd48-4972-8261-1196d4436306",
    "id": "arXiv Dataset IDs",
    "type": "Model",
    "variant": "snapshot-2026-03-01",
    "version": "0.1.0"
  },
  "user_id": 1000002
}