{
  "annotation_id": "f51313f8-7ac5-4b1d-8824-333c2b1d9bd1",
  "date_created": "2026-03-02T18:01:00.460000Z",
  "date_modified": "2026-03-02T18:01:00.460000Z",
  "file_hash": "b99d030c2164812e0281959ac37fbc277963285fd9763a12089b09f67a1c38de",
  "private": false,
  "record": {
    "abstract": "We introduce a model for the dynamic self-organization of the electric grid.\nThe model is characterized by a conserved magnitude, energy, that can travel\nfollowing the links of the network to satisfy nodes\u0027 load. The load fluctuates\nin time causing local overloads that drive the dynamic evolution of the network\ntopology. Our model displays a transition from a fully connected network to a\nconfiguration with a non-trivial topology and where global failures are\nsuppressed. The most efficient topology is characterized by an exponential\ndegree distribution, in agreement with the topology of the real electric grid.\nThe model intrinsically presents self-induced break-down events, which can be\nthought as representative of real black-outs.",
    "arxiv_id": "physics/0507195",
    "authors": [
      "Alessandro Scir\u00e8",
      "Id\u00e1n Tuval",
      "V\u00edctor M. Egu\u00edluz"
    ],
    "categories": [
      "physics.soc-ph"
    ],
    "doi": "10.1209/epl/i2004-10533-6",
    "journal_ref": "Europhysics Letters 71, 318-324 (2005)",
    "title": "Dynamic Modeling of the Electric Transportation Network",
    "url": "https://arxiv.org/abs/physics/0507195"
  },
  "schema_id": "dorsal/arxiv",
  "source": {
    "execution_id": "95c74e0a-4ea8-4f2b-a8e3-456a093c1e60",
    "id": "arXiv Dataset IDs",
    "type": "Model",
    "variant": "snapshot-2026-03-01",
    "version": "0.1.0"
  },
  "user_id": 1000002
}