{
  "annotation_id": "8edbd627-d001-46ee-a9f8-faee625e4627",
  "date_created": "2026-03-02T18:01:18.383000Z",
  "date_modified": "2026-03-02T18:01:18.383000Z",
  "file_hash": "158b0f4b577ea2a261070b21c9c8b8ffd63ec8eea5a849f4af96d532fbd106ff",
  "private": false,
  "record": {
    "abstract": "We study a model of network with clustering and desired node degree. The\noriginal purpose of the model was to describe optimal structures of scientific\ncollaboration in the European Union. The model belongs to the family of\nexponential random graphs. We show by numerical simulations and analytical\nconsiderations how a very simple Hamiltonian can lead to surprisingly\ncomplicated and eventful phase diagram.",
    "arxiv_id": "physics/0701182",
    "authors": [
      "Piotr Fronczak",
      "Agata Fronczak",
      "Janusz A. Ho\u0142yst"
    ],
    "categories": [
      "physics.soc-ph"
    ],
    "doi": "10.1140/epjb/e2007-00270-8",
    "title": "Phase transitions in social networks",
    "url": "https://arxiv.org/abs/physics/0701182"
  },
  "schema_id": "dorsal/arxiv",
  "source": {
    "execution_id": "c94b46ca-b1a9-4fde-922c-26ffbe3ee3b0",
    "id": "arXiv Dataset IDs",
    "type": "Model",
    "variant": "snapshot-2026-03-01",
    "version": "0.1.0"
  },
  "user_id": 1000002
}