{
  "annotation_id": "348aa06f-40e2-4e6d-91a1-4874b7720049",
  "date_created": "2026-03-02T18:00:56.866000Z",
  "date_modified": "2026-03-02T18:00:56.866000Z",
  "file_hash": "f04087b5809e2756f77c8ae79905fbbc8f9252a5602cae825eb01b25a2c51d4e",
  "private": false,
  "record": {
    "abstract": "The Sznajd model has been largely applied to simulate many sociophysical\nphenomena. In this paper we applied the Sznajd model with more than two\nopinions on three different network topologies and observed the evolution of\nsurviving opinions after many interactions among the nodes. As result, we\nobtained a scaling law which depends of the network size and the number of\npossible opinions. We also observed that this scaling law is not the same for\nall network topologies, being quite similar between scale-free networks and\nSznajd networks but different for random networks.",
    "arxiv_id": "physics/0505158",
    "authors": [
      "Francisco A. Rodrigues",
      "Luciano da F. Costa"
    ],
    "categories": [
      "physics.soc-ph",
      "cond-mat.dis-nn"
    ],
    "doi": "10.1142/S0129183105008278",
    "title": "Surviving opinions in Sznajd models on complex networks",
    "url": "https://arxiv.org/abs/physics/0505158"
  },
  "schema_id": "dorsal/arxiv",
  "source": {
    "execution_id": "b9364e16-471e-4913-8f32-ad162b269494",
    "id": "arXiv Dataset IDs",
    "type": "Model",
    "variant": "snapshot-2026-03-01",
    "version": "0.1.0"
  },
  "user_id": 1000002
}