{
  "annotation_id": "574d39cf-d45a-4533-8811-598702c5f8f8",
  "date_created": "2026-03-02T18:01:07.548000Z",
  "date_modified": "2026-03-02T18:01:07.548000Z",
  "file_hash": "ece671112b0b0de0dc301f67f7eeea9fb458a78e4ae6f5dabe6ae87aaed135a5",
  "private": false,
  "record": {
    "abstract": "With the advent of digital media, people are increasingly resorting to online\nchannels for commercial transactions. Online auction is a prototypical example.\nIn such online transactions, the pattern of bidding activity is more complex\nthan traditional online transactions; this is because the number of bidders\nparticipating in a given transaction is not bounded and the bidders can also\neasily respond to the bidding instantaneously. By using the recently developed\nnetwork theory, we study the interaction patterns between bidders (items) who\n(that) are connected when they bid for the same item (if the item is bid by the\nsame bidder). The resulting network is analyzed by using the hierarchical\nclustering algorithm, which is used for clustering analysis for expression data\nfrom DNA microarrays. A dendrogram is constructed for the item subcategories;\nthis dendrogram is compared with a traditional classification scheme. The\nimplication of the difference between the two is discussed.",
    "arxiv_id": "physics/0604215",
    "authors": [
      "I. Yang",
      "E. Oh",
      "B. Kahng"
    ],
    "categories": [
      "physics.soc-ph",
      "cond-mat.stat-mech"
    ],
    "doi": "10.1103/PhysRevE.74.016121",
    "title": "Network analysis of online bidding activity",
    "url": "https://arxiv.org/abs/physics/0604215"
  },
  "schema_id": "dorsal/arxiv",
  "source": {
    "execution_id": "b858944e-1700-41dc-999a-a1cf24e4a76e",
    "id": "arXiv Dataset IDs",
    "type": "Model",
    "variant": "snapshot-2026-03-01",
    "version": "0.1.0"
  },
  "user_id": 1000002
}