{
  "annotation_id": "7d20df60-7b2c-4b79-83ab-9f297064e364",
  "date_created": "2026-03-02T18:00:56.918000Z",
  "date_modified": "2026-03-02T18:00:56.918000Z",
  "file_hash": "de3f26776067fddd89483f9712a330a79ab32cdebc613c72618e7aababc5372d",
  "private": false,
  "record": {
    "abstract": "Numerical simulations are reported on the Bonabeau model on a fully connected\ngraph, where spatial degrees of freedom are absent. The control parameter is\nthe memory factor f. The phase transition is observed at the dispersion of the\nagents power h_i. The critical value f_C shows a hysteretic behavior with\nrespect to the initial distribution of h_i. f_C decreases with the system size;\nthis decrease can be compensated by a greater number of fights between a global\nreduction of the distribution width of h_i. The latter step is equivalent to a\npartial forgetting.",
    "arxiv_id": "physics/0502118",
    "authors": [
      "K. Malarz",
      "D. Stauffer",
      "K. Kulakowski"
    ],
    "categories": [
      "physics.soc-ph"
    ],
    "doi": "10.1140/epjb/e2006-00059-3",
    "journal_ref": "Eur. Phys. J. B50 (2006) 195",
    "title": "Bonabeau model on a fully connected graph",
    "url": "https://arxiv.org/abs/physics/0502118"
  },
  "schema_id": "dorsal/arxiv",
  "source": {
    "execution_id": "739faacf-cd1a-4c03-9f87-4da8ed45e465",
    "id": "arXiv Dataset IDs",
    "type": "Model",
    "variant": "snapshot-2026-03-01",
    "version": "0.1.0"
  },
  "user_id": 1000002
}