Aggregating partial, local evaluations to achieve global ranking
classification
❄️ cond-mat.dis-nn
keywords
achieveaggregatinganalyticallyanalyzeattachmentbiasedeffectiveeffects
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We analyze some voting models mimicking online evaluation systems intended to reduce the information overload. The minimum number of operations needed for a system to be effective is analytically estimated. When herding effects are present, linear preferential attachment marks a transition between trustful and biased reputations.
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