{
  "annotation_id": "fa6a2c8c-7930-424c-a49d-e6c965df97c8",
  "date_created": "2026-03-02T18:01:14.567000Z",
  "date_modified": "2026-03-02T18:01:14.567000Z",
  "file_hash": "f4afd7bc8cbd575bf19f95597b99639d10e6ce59feb6732735f714b17ca354ae",
  "private": false,
  "record": {
    "abstract": "We propose a model for an evolving citation network that incorporates the\ncitation pattern followed in a particular discipline. We define the citation\npattern in a discipline by three factors. The average number of references per\narticle, the probability of citing an article based on its age and the number\nof citations it already has. We also consider the average number of articles\npublished per year in the discipline. We propose that the probability of citing\nan article based on its age can be modeled by a lifetime distribution. The\nlifetime distribution models the citation lifetime of an average article in a\nparticular discipline. We find that the citation lifetime distribution in a\nparticular discipline predicts the topological structure of the citation\nnetwork in that discipline. We show that the power law exponent depends on the\nthree factors that define the citation pattern. Finally we fit the data from\nthe Physical Review D journal to obtain the citation pattern and calculate the\ntotal degree distribution for the citation network.",
    "arxiv_id": "physics/0611139",
    "authors": [
      "Soma Sanyal"
    ],
    "categories": [
      "physics.soc-ph"
    ],
    "title": "Effect of citation patterns on network structure",
    "url": "https://arxiv.org/abs/physics/0611139"
  },
  "schema_id": "dorsal/arxiv",
  "source": {
    "execution_id": "bb0a53db-cafe-4356-9dff-d943af82a619",
    "id": "arXiv Dataset IDs",
    "type": "Model",
    "variant": "snapshot-2026-03-01",
    "version": "0.1.0"
  },
  "user_id": 1000002
}