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arxiv: 0907.4818 · v2 · pith:GWIKVHPWnew · submitted 2009-07-28 · ⚛️ physics.data-an · physics.soc-ph

Phase transition and information cascade in a voting model

classification ⚛️ physics.data-an physics.soc-ph
keywords votingbinomialdistributionmodelvotersratebeautycascade
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We introduce a voting model that is similar to a Keynesian beauty contest and analyze it from a mathematical point of view. There are two types of voters-copycat and independent-and two candidates. Our voting model is a binomial distribution (independent voters) doped in a beta binomial distribution (copycat voters). We find that the phase transition in this system is at the upper limit of $t$, where $t$ is the time (or the number of the votes). Our model contains three phases. If copycats constitute a majority or even half of the total voters, the voting rate converges more slowly than it would in a binomial distribution. If independents constitute the majority of voters, the voting rate converges at the same rate as it would in a binomial distribution. We also study why it is difficult to estimate the conclusion of a Keynesian beauty contest when there is an information cascade.

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