{
  "annotation_id": "157256ee-02ba-4812-aeef-23902cd555fe",
  "date_created": "2026-03-02T18:01:03.285000Z",
  "date_modified": "2026-03-02T18:01:03.285000Z",
  "file_hash": "82718fd5ebce0e2ba135cc206143303b2a4027af546a99ad5740f16201140a3f",
  "private": false,
  "record": {
    "abstract": "An important aspect of a Euclidean network is its link length distribution,\nstudied in a few real networks so far. We compute the distribution of the link\nlengths between collaborators whose papers appear in the PhysicalReview Letters\n(PRL) in several years within a range of four decades. The distribution is\nnon-monotonic; there is a peak at nearest neighbour distances followed by a\nsharp fall and a subsequent rise at larger distances. The behaviour of the\nstatistical properties of the distribution with time indicates that\ncollaborations might become distance independent in about thirty to forty\nyears.",
    "arxiv_id": "physics/0511181",
    "authors": [
      "Parongama Sen",
      "Anjan Kumar Chandra",
      "Kamalika Basu Hajra",
      "Pratap Kumar Das"
    ],
    "categories": [
      "physics.soc-ph",
      "physics.data-an"
    ],
    "title": "Time evolution of link length distribution in PRL collaboration network",
    "url": "https://arxiv.org/abs/physics/0511181"
  },
  "schema_id": "dorsal/arxiv",
  "source": {
    "execution_id": "4f5413aa-ef22-4e1e-bb52-a39fe0ecb124",
    "id": "arXiv Dataset IDs",
    "type": "Model",
    "variant": "snapshot-2026-03-01",
    "version": "0.1.0"
  },
  "user_id": 1000002
}