{
  "annotation_id": "2884ba5b-ad3f-4fea-9d07-5bc016b72134",
  "date_created": "2026-03-02T18:00:56.380000Z",
  "date_modified": "2026-03-02T18:00:56.380000Z",
  "file_hash": "cfdb81959db285b96f6146577a7eedd4039310a8292b2fd27f52c889742622c1",
  "private": false,
  "record": {
    "abstract": "We study corruption as a generalized epidemic process on the graph of social\nrelationships. The main difference to classical epidemic processes is the\nstrong nonlinear dependence of the transmission probability on the local\ndensity of corruption and the mean field influence of the overall corruption in\nthe society. Network clustering and the degree-degree correlation play an\nessential role in corruption dynamics. We discuss phase transitions, the\ninfluence of the graph structure and the implications for epidemic control.\nStructural and dynamical arguments are given why strongly hierarchically\norganized societies like systems with dictatorial tendency are more vulnerable\nto corruption than democracies. A similar type of modelling can be applied to\nother social contagion spreading processes like opinion formation, doping\nusage, social disorders or innovation dynamics.",
    "arxiv_id": "physics/0505031",
    "authors": [
      "Ph. Blanchard",
      "A. Krueger",
      "T. Krueger",
      "P. Martin"
    ],
    "categories": [
      "physics.soc-ph",
      "cond-mat.dis-nn",
      "physics.gen-ph"
    ],
    "title": "The Epidemics of Corruption",
    "url": "https://arxiv.org/abs/physics/0505031"
  },
  "schema_id": "dorsal/arxiv",
  "source": {
    "execution_id": "33ae1652-9fd5-4fbe-87ef-8bd27d30e83f",
    "id": "arXiv Dataset IDs",
    "type": "Model",
    "variant": "snapshot-2026-03-01",
    "version": "0.1.0"
  },
  "user_id": 1000002
}