{
  "id": "1004.2149",
  "version": "v2",
  "published": "2010-04-13T11:26:01.000Z",
  "updated": "2011-08-09T13:27:41.000Z",
  "title": "Noise-induced volatility of collective dynamics",
  "authors": [
    "Georges Harras",
    "Claudio J. Tessone",
    "Didier Sornette"
  ],
  "doi": "10.1103/PhysRevE.85.011150",
  "categories": [
    "cond-mat.stat-mech",
    "nlin.AO",
    "physics.soc-ph",
    "q-bio.OT"
  ],
  "abstract": "\"Noise-induced volatility\" refers to a phenomenon of increased level of fluctuations in the collective dynamics of bistable units in the presence of a rapidly varying external signal, and intermediate noise levels. The archetypical signature of this phenomenon is that --beyond the increase in the level of fluctuations-- the response of the system becomes uncorrelated with the external driving force, making it different from stochastic resonance. Numerical simulations and an analytical theory of a stochastic dynamical version of the Ising model on regular and random networks demonstrate the ubiquity and robustness of this phenomenon, which is argued to be a possible cause of excess volatility in financial markets, of enhanced effective temperatures in a variety of out-of-equilibrium systems and of strong selective responses of immune systems of complex biological organisms. Extensive numerical simulations are compared with a mean-field theory for different network topologies.",
  "revisions": [
    {
      "version": "v2",
      "updated": "2011-08-09T13:27:41.000Z"
    }
  ],
  "analyses": {
    "keywords": [
      "collective dynamics",
      "noise-induced volatility",
      "phenomenon",
      "intermediate noise levels",
      "random networks demonstrate"
    ],
    "tags": [
      "journal article"
    ],
    "publication": {
      "publisher": "APS",
      "journal": "Phys. Rev. E"
    },
    "note": {
      "typesetting": "TeX",
      "pages": 0,
      "language": "en",
      "license": "arXiv",
      "status": "editable",
      "adsabs": "2010arXiv1004.2149H"
    }
  }
}