{
  "annotation_id": "91051810-394f-44c0-a548-53c7c0d769a7",
  "date_created": "2026-03-02T18:01:11.165000Z",
  "date_modified": "2026-03-02T18:01:11.165000Z",
  "file_hash": "051328b2f88f47510f72e32cd580da264f28d8b242d278b5fe394848673335bf",
  "private": false,
  "record": {
    "abstract": "We investigate the accumulated wealth distribution by adopting evolutionary\ngames taking place on scale-free networks. The system self-organizes to a\ncritical Pareto distribution (1897) of wealth $P(m)\\sim m^{-(v+1)}$ with $1.6 \u003c\nv \u003c2.0$ (which is in agreement with that of U.S. or Japan). Particularly, the\nagent\u0027s personal wealth is proportional to its number of contacts\n(connectivity), and this leads to the phenomenon that the rich gets richer and\nthe poor gets relatively poorer, which is consistent with the Matthew Effect\npresent in society, economy, science and so on. Though our model is simple, it\nprovides a good representation of cooperation and profit accumulation behavior\nin economy, and it combines the network theory with econophysics.",
    "arxiv_id": "physics/0606085",
    "authors": [
      "Mao-Bin Hu",
      "Wen-Xu Wang",
      "Rui Jiang",
      "Qing-Song Wu",
      "Bing-Hong Wang",
      "Yong-Hong Wu"
    ],
    "categories": [
      "physics.soc-ph",
      "physics.data-an"
    ],
    "doi": "10.1140/epjb/e2006-00365-8",
    "title": "A Unified Framework for the Pareto Law and Matthew Effect using   Scale-Free Networks",
    "url": "https://arxiv.org/abs/physics/0606085"
  },
  "schema_id": "dorsal/arxiv",
  "source": {
    "execution_id": "a4aea877-48cd-4112-912f-8c5503ba9f84",
    "id": "arXiv Dataset IDs",
    "type": "Model",
    "variant": "snapshot-2026-03-01",
    "version": "0.1.0"
  },
  "user_id": 1000002
}