{
  "annotation_id": "23203225-f8ea-4dc1-98f8-5d8e4022b075",
  "date_created": "2026-03-02T18:01:35.655000Z",
  "date_modified": "2026-03-02T18:01:35.655000Z",
  "file_hash": "a38bff3e10e03dae528a5a5bdd7e500ebcbaa57f114572b925ded9712700f2d2",
  "private": false,
  "record": {
    "abstract": "The observed structure of protein interaction networks is corrupted by many\nfalse positive/negative links. This observational incompleteness is abstracted\nas random link removal and a specific, experimentally motivated (spoke) link\nrearrangement. Their impact on the structural properties of\ngene-duplication-and-mutation network models is studied. For the degree\ndistribution a curve collapse is found, showing no sensitive dependence on the\nlink removal/rearrangement strengths and disallowing a quantitative extraction\nof model parameters. The spoke link rearrangement process moves other\nstructural observables, like degree correlations, cluster coefficient and motif\nfrequencies, closer to their counterparts extracted from the yeast data. This\nunderlines the importance to take a precise modeling of the observational\nincompleteness into account when network structure models are to be\nquantitatively compared to data.",
    "arxiv_id": "q-bio/0605033",
    "authors": [
      "Mathias Kuhnt",
      "Ingmar Glauche",
      "Martin Greiner"
    ],
    "categories": [
      "q-bio.MN"
    ],
    "doi": "10.1016/j.physa.2006.04.120",
    "title": "Impact of observational incompleteness on the structural properties of   protein interaction networks",
    "url": "https://arxiv.org/abs/q-bio/0605033"
  },
  "schema_id": "dorsal/arxiv",
  "source": {
    "execution_id": "5029603e-835c-4589-bd1d-73c89c33df69",
    "id": "arXiv Dataset IDs",
    "type": "Model",
    "variant": "snapshot-2026-03-01",
    "version": "0.1.0"
  },
  "user_id": 1000002
}