{
  "annotation_id": "a65d796f-443c-4b55-b55e-1469296d9a67",
  "date_created": "2026-03-02T18:01:11.467000Z",
  "date_modified": "2026-03-02T18:01:11.467000Z",
  "file_hash": "064015c2ba0c6c83bf7ac4710be3957584b6d3685408605e895fa79d52a12ac4",
  "private": false,
  "record": {
    "abstract": "We characterize the statistical properties of a large number of online\nauctions run on eBay. Both stationary and dynamic properties, like\ndistributions of prices, number of bids etc., as well as relations between\nthese quantities are studied. The analysis of the data reveals surprisingly\nsimple distributions and relations, typically of power-law form. Based on these\nfindings we introduce a simple method to identify suspicious auctions that\ncould be influenced by a form of fraud known as shill bidding. Furthermore the\ninfluence of bidding strategies is discussed. The results indicate that the\nobserved behavior is related to a mixture of agents using a variety of\nstrategies.",
    "arxiv_id": "physics/0608232",
    "authors": [
      "Alireza Namazi",
      "Andreas Schadschneider"
    ],
    "categories": [
      "physics.soc-ph",
      "physics.data-an"
    ],
    "doi": "10.1142/S012918310600993X",
    "title": "Statistical properties of online auctions",
    "url": "https://arxiv.org/abs/physics/0608232"
  },
  "schema_id": "dorsal/arxiv",
  "source": {
    "execution_id": "ad35c223-7f2c-41d4-874b-76d770f6bc24",
    "id": "arXiv Dataset IDs",
    "type": "Model",
    "variant": "snapshot-2026-03-01",
    "version": "0.1.0"
  },
  "user_id": 1000002
}