{
  "annotation_id": "7452fbc4-dffd-4fe9-899d-0a80224acf12",
  "date_created": "2026-03-02T18:01:00.135000Z",
  "date_modified": "2026-03-02T18:01:00.135000Z",
  "file_hash": "29bf560f4d314d7f688a72dcd4d17a37d80f6f3ba5ec16148dd728e9fff61ced",
  "private": false,
  "record": {
    "abstract": "Collaboration networks are studied as an example of growing bipartite\nnetworks. These have been previously observed to have structure such as\npositive correlations between nearest-neighbour degrees. However, a detailed\nunderstanding of the origin of this phenomenon and the growth dynamics is\nlacking. Both of these are analyzed empirically and simulated using various\nmodels. A new one is presented, incorporating empirically necessary ingredients\nsuch as bipartiteness and sublinear preferential attachment. This, and a\nrecently proposed model of team assembly both agree roughly with some empirical\nobservations and fail in several others.",
    "arxiv_id": "physics/0508027",
    "authors": [
      "Matti Peltomaki",
      "Mikko Alava"
    ],
    "categories": [
      "physics.soc-ph"
    ],
    "doi": "10.1088/1742-5468/2006/01/P01010",
    "journal_ref": "J. Stat. Mech. (2006) P01010",
    "title": "Correlations in Bipartite Collaboration Networks",
    "url": "https://arxiv.org/abs/physics/0508027"
  },
  "schema_id": "dorsal/arxiv",
  "source": {
    "execution_id": "6a62f8e2-9344-4bc3-b80f-8e4e19bf7728",
    "id": "arXiv Dataset IDs",
    "type": "Model",
    "variant": "snapshot-2026-03-01",
    "version": "0.1.0"
  },
  "user_id": 1000002
}