{
  "annotation_id": "b35d724f-fc0b-4034-b63e-839b490db014",
  "date_created": "2026-03-02T18:01:14.472000Z",
  "date_modified": "2026-03-02T18:01:14.472000Z",
  "file_hash": "743b6ab5af52b5faf73c1eacbe033b8d920259c4e6319560c80e0ed9253888e2",
  "private": false,
  "record": {
    "abstract": "Many complex systems may be described not by one, but by a number of complex\nnetworks mapped one on the other in a multilayer structure. The interactions\nand dependencies between these layers cause that what is true for a distinct\nsingle layer does not necessarily reflect well the state of the entire system.\nIn this paper we study the robustness of three real-life examples of two-layer\ncomplex systems that come from the fields of communication (the Internet),\ntransportation (the European railway system) and biology (the human brain). In\norder to cover the whole range of features specific to these systems, we focus\non two extreme policies of system\u0027s response to failures, no rerouting and full\nrerouting. Our main finding is that multilayer systems are much more vulnerable\nto errors and intentional attacks than they seem to be from a single layer\nperspective.",
    "arxiv_id": "physics/0610018",
    "authors": [
      "Maciej Kurant",
      "Patrick Thiran"
    ],
    "categories": [
      "physics.soc-ph"
    ],
    "doi": "10.1103/PhysRevE.76.026103",
    "journal_ref": "Phys. Rev. E 76, 026103, 2007",
    "title": "Error and Attack Tolerance of Layered Complex Networks",
    "url": "https://arxiv.org/abs/physics/0610018"
  },
  "schema_id": "dorsal/arxiv",
  "source": {
    "execution_id": "b3a4ff2e-656b-411e-8943-3686f3c45ba7",
    "id": "arXiv Dataset IDs",
    "type": "Model",
    "variant": "snapshot-2026-03-01",
    "version": "0.1.0"
  },
  "user_id": 1000002
}