{
  "annotation_id": "52b476da-d4e4-42c6-bea3-589300416a69",
  "date_created": "2026-03-02T18:01:31.150000Z",
  "date_modified": "2026-03-02T18:01:31.150000Z",
  "file_hash": "8d43207594e6679708bfb1bdefeab8f5e752e506d6e7ba54d339c5eea3a3eb3f",
  "private": false,
  "record": {
    "abstract": "We propose a general method to predict functions of vertices where: 1. The\nwiring of the network is somehow related to the vertex functionality. 2. A\nfraction of the vertices are functionally classified. The method is influenced\nby role-similarity measures of social network analysis. The two versions of our\nprediction scheme is tested on model networks were the functions of the\nvertices are designed to match their network surroundings. We also apply these\nmethods to the proteome of the yeast Saccharomyces cerevisiae and find the\nresults compatible with more specialized methods.",
    "arxiv_id": "q-bio/0503010",
    "authors": [
      "Petter Holme",
      "Mikael Huss"
    ],
    "categories": [
      "q-bio.MN",
      "cond-mat.other",
      "q-bio.OT"
    ],
    "doi": "10.1098/rsif.2005.0046",
    "journal_ref": "J. Roy. Soc. Interface 2, 327 (2005)",
    "title": "Role-similarity based functional prediction in networked systems:   Application to the yeast proteome",
    "url": "https://arxiv.org/abs/q-bio/0503010"
  },
  "schema_id": "dorsal/arxiv",
  "source": {
    "execution_id": "d19c7e0e-7951-485f-9754-aeff6b078f2a",
    "id": "arXiv Dataset IDs",
    "type": "Model",
    "variant": "snapshot-2026-03-01",
    "version": "0.1.0"
  },
  "user_id": 1000002
}