Error-driven global transition in a competitive population on a network

Sehyo Charley Choe, Neil F. Johnson, Pak Ming Hui

Research output: Contribution to journalArticlepeer-review

12 Scopus citations


We show, both analytically and numerically, that erroneous data transmission generates a global transition within a competitive population playing the “Minority Game” on a network. This transition, which resembles a phase transition, is driven by a “temporal symmetry breaking” in the global outcome series. The phase boundary, which is a function of the network connectivity [Formula presented] and the error probability [Formula presented], is described quantitatively by the crowd-anticrowd theory.

Original languageEnglish (US)
Pages (from-to)4
Number of pages1
JournalPhysical Review E - Statistical Physics, Plasmas, Fluids, and Related Interdisciplinary Topics
Issue number5
StatePublished - 2004
Externally publishedYes

ASJC Scopus subject areas

  • Statistical and Nonlinear Physics
  • Statistics and Probability
  • Condensed Matter Physics


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