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Zipf's law arises naturally in structured, high-dimensional data
[article]

2016
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arXiv
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pre-print

Zipf's law, which states that the probability of an observation is inversely proportional to its rank, has been observed in many domains. While there are models that explain Zipf's law in each of them, those explanations are typically domain specific. Recently, methods from statistical physics were used to show that a fairly broad class of models does provide a general explanation of Zipf's law. This explanation rests on the observation that real world data is often generated from underlying

arXiv:1407.7135v4
fatcat:lnhesg7p7zgolieo4tgvgyzm2m