{
  "annotation_id": "a5563ee0-3401-459c-bf45-3bc21c3cc8fb",
  "date_created": "2026-03-02T18:01:14.815000Z",
  "date_modified": "2026-03-02T18:01:14.815000Z",
  "file_hash": "0efc1549e88b9662306971c6a37d8c6e3193e407fe513a44823fce5f1ab0f71f",
  "private": false,
  "record": {
    "abstract": "It is generally recognized that economical systems, and more in general\ncomplex systems, are characterized by power law distributions. Sometime, these\ndistributions show a changing of the slope in the tail so that, more\nappropriately, they show a multi-power law behavior. We present a method to\nderive analytically a two-power law distribution starting from a single power\nlaw function recently obtained, in the frameworks of the generalized\nstatistical mechanics based on the Sharma-Taneja-Mittal information measure. In\norder to test the method, we fit the cumulative distribution of personal income\nand gross domestic production of several countries, obtaining a good agreement\nfor a wide range of data.",
    "arxiv_id": "physics/0612231",
    "authors": [
      "A. M. Scarfone"
    ],
    "categories": [
      "physics.data-an",
      "physics.soc-ph",
      "q-fin.GN"
    ],
    "doi": "10.1016/j.physa.2007.02.075",
    "title": "A mechanism to derive multi-power law functions: an application in the   econophysics framework",
    "url": "https://arxiv.org/abs/physics/0612231"
  },
  "schema_id": "dorsal/arxiv",
  "source": {
    "execution_id": "b862a8cf-562f-45df-aa5a-4fee6e0938cc",
    "id": "arXiv Dataset IDs",
    "type": "Model",
    "variant": "snapshot-2026-03-01",
    "version": "0.1.0"
  },
  "user_id": 1000002
}