Error-driven Global Transition in a Competitive Population on a Network

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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 p and the error probability q, is described quantitatively by the Crowd-Anticrowd theory.