{
  "annotation_id": "28a298a6-fb7c-474c-8510-577c092077c2",
  "date_created": "2026-03-02T18:01:18.192000Z",
  "date_modified": "2026-03-02T18:01:18.192000Z",
  "file_hash": "0d35b1e5fcaf88f158dbd391a1b93ad4e8e3b3f726adf8eb48ede8ef09d44029",
  "private": false,
  "record": {
    "abstract": "We present an empirical study of the networks created by users within\ninternet news groups and forums and show that they organise themselves into\nscale-free trees. The structure of these trees depends on the topic under\ndiscussion; specialist topics have trees with a short shallow structure whereas\nmore universal topics are discussed widely and have a deeper tree structure.\nFor news groups we find that the distribution of the time intervals between\nwhen a message is posted and when it receives a response exhibits a composite\npower-law behaviour. From our statistics we can see if the news group or forum\nis free or is overseen by a moderator. The correlation function of activity,\nthe number of messages posted in a given time, shows long range correlations\nconnected with the users\u0027 daily routines. The distribution of distances between\neach message and its root is exponential for most news groups and power-law for\nthe forums. For both formats we find that the relation between the supremacy\n(the total number of nodes that are \\emph{under} the node $i$, including node\n$i$) and the degree is linear $s(k)\\sim k$, in contrast to the analytical\nrelation for Barab\\\u0027{a}si-Albert network.",
    "arxiv_id": "physics/0701349",
    "authors": [
      "Bernard Kujawski",
      "Janusz A. Holyst",
      "Geoff J. Rodgers"
    ],
    "categories": [
      "physics.soc-ph"
    ],
    "doi": "10.1103/PhysRevE.76.036103",
    "journal_ref": "Phys. Rev. E 76, 036103 (2007)",
    "title": "Growing Trees in Internet News Groups and Forums",
    "url": "https://arxiv.org/abs/physics/0701349"
  },
  "schema_id": "dorsal/arxiv",
  "source": {
    "execution_id": "0b503fd2-e186-45ea-b738-63b7bdfedae5",
    "id": "arXiv Dataset IDs",
    "type": "Model",
    "variant": "snapshot-2026-03-01",
    "version": "0.1.0"
  },
  "user_id": 1000002
}