{
  "annotation_id": "c60b8c42-fd8e-4939-b80c-7f22a5242bb0",
  "date_created": "2026-03-02T18:01:03.728000Z",
  "date_modified": "2026-03-02T18:01:03.728000Z",
  "file_hash": "1f72aa014f039f25902f9be9c0f88d488d36091d3c145875a55b5f81795b5ea0",
  "private": false,
  "record": {
    "abstract": "Many complex networks are only a part of larger systems, where a number of\ncoexisting topologies interact and depend on each other. We introduce a layered\nmodel to facilitate the description and analysis of such systems. As an example\nof its application we study the load distribution in three real-life\ntransportation systems, where the lower layer is the physical infrastructure\nand the upper layer represents the traffic flows. This layered view allows us\nto capture the fundamental differences between the real load and commonly used\nload estimators, which explains why these estimators fail to approximate the\nreal load.",
    "arxiv_id": "physics/0510194",
    "authors": [
      "Maciej Kurant",
      "Patrick Thiran"
    ],
    "categories": [
      "physics.soc-ph"
    ],
    "doi": "10.1103/PhysRevLett.96.138701",
    "journal_ref": "Phys. Rev. Lett. 96, 138701, April 2006",
    "title": "Layered Complex Networks",
    "url": "https://arxiv.org/abs/physics/0510194"
  },
  "schema_id": "dorsal/arxiv",
  "source": {
    "execution_id": "42595c20-67b2-4592-9428-74f51962d03e",
    "id": "arXiv Dataset IDs",
    "type": "Model",
    "variant": "snapshot-2026-03-01",
    "version": "0.1.0"
  },
  "user_id": 1000002
}