{
  "annotation_id": "9197db4c-45ad-42ea-a520-d73bc6f2aecc",
  "date_created": "2026-03-02T18:00:49.590000Z",
  "date_modified": "2026-03-02T18:00:49.590000Z",
  "file_hash": "edc9b1890eaad9c4d3f96aaa305be70c4ea268e26c60c52cc5842db61e7b8f6c",
  "private": false,
  "record": {
    "abstract": "A theory of additive Markov chains with long-range memory is used for\ndescription of correlation properties of coarse-grained literary texts. The\ncomplex structure of the correlations in texts is revealed. Antipersistent\ncorrelations at small distances, L \u003c 300, and persistent ones at L \u003e 300 define\nthis nontrivial structure. For some concrete examples of literary texts, the\nmemory functions are obtained and their power-law behavior at long distances is\ndisclosed. This property is shown to be a cause of self-similarity of texts\nwith respect to the decimation procedure.",
    "arxiv_id": "physics/0402042",
    "authors": [
      "S. S. Melnyk",
      "O. V. Usatenko",
      "V. A. Yampol\u0027skii",
      "V. A. Golick"
    ],
    "categories": [
      "physics.data-an",
      "physics.gen-ph"
    ],
    "doi": "10.1103/PhysRevE.72.026140",
    "title": "Competition between Two Kinds of Correlations in Literary Texts",
    "url": "https://arxiv.org/abs/physics/0402042"
  },
  "schema_id": "dorsal/arxiv",
  "source": {
    "execution_id": "f0c96084-ab54-423d-a565-0ee6789fc115",
    "id": "arXiv Dataset IDs",
    "type": "Model",
    "variant": "snapshot-2026-03-01",
    "version": "0.1.0"
  },
  "user_id": 1000002
}