{
  "annotation_id": "f7b6593c-3b7b-4a61-9285-effa3230df08",
  "date_created": "2026-03-02T18:01:06.550000Z",
  "date_modified": "2026-03-02T18:01:06.550000Z",
  "file_hash": "14537b0b65c22a08f4ddf7d23e50309427c43258a82d4033d1c640fa1f094f42",
  "private": false,
  "record": {
    "abstract": "We present an analysis of the statistical properties and growth of the free\non-line encyclopedia Wikipedia. By describing topics by vertices and hyperlinks\nbetween them as edges, we can represent this encyclopedia as a directed graph.\nThe topological properties of this graph are in close analogy with that of the\nWorld Wide Web, despite the very different growth mechanism. In particular we\nmeasure a scale--invariant distribution of the in-- and out-- degree and we are\nable to reproduce these features by means of a simple statistical model. As a\nmajor consequence, Wikipedia growth can be described by local rules such as the\npreferential attachment mechanism, though users can act globally on the\nnetwork.",
    "arxiv_id": "physics/0602026",
    "authors": [
      "A. Capocci",
      "V. D. P. Servedio",
      "F. Colaiori",
      "L. S. Buriol",
      "D. Donato",
      "S. Leonardi",
      "G. Caldarelli"
    ],
    "categories": [
      "physics.soc-ph",
      "cs.OH"
    ],
    "doi": "10.1103/PhysRevE.74.036116",
    "title": "Preferential attachment in the growth of social networks: the case of   Wikipedia",
    "url": "https://arxiv.org/abs/physics/0602026"
  },
  "schema_id": "dorsal/arxiv",
  "source": {
    "execution_id": "f14c608b-1af3-4294-bdd2-c2b1a41a2b6f",
    "id": "arXiv Dataset IDs",
    "type": "Model",
    "variant": "snapshot-2026-03-01",
    "version": "0.1.0"
  },
  "user_id": 1000002
}