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c ○ World Scientific Publishing Company ZIPF’S LAW AND RANDOM TEXTS
, 2001 Random-text models have been proposed as an explanation for the power law relationship between word frequency and rank, the so-called Zipf’s law. They are generally regarded as null hypotheses rather than models in the strict sense.
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Zipf's Law, unbounded complexity and open-ended evolution. [PDF]
J R Soc Interface, 2018 Corominas-Murtra B, Seoane LF, Solé R.
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Deviations from Zipf’s Law for American cities: an empirical examination
This work presents a simple method for calculating deviations regarding city size and the size which would correspond to it with a Pareto exponent equal to one unit (Zipf’s Law).
Rafael, González-Val
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Zipf’s Law plays an important role in copywriting [PDF]
Zipf’s Law, a principle rooted in linguistics and statistical analysis, has profound implications for copywriting, offering insights into how language can be optimized for communication and persuasion.
Hydyrova, D., Akadova, A.
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Purported Self-Organized Criticality of the Cardiovascular Function: Methodological Considerations for Zipf's Law Analysis. [PDF]
Entropy (Basel)Fortrat JO.
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In this paper, I provide a quantitative review of the empirical literature on Zipf's law for cities; the meta-analysis combines 515 estimates from 29 studies.
Nitsch, Volker
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Concentration of Population in Capital Cities: Determinants and Economic Effects [PDF]
This paper studies the impact and determinants of the concentration of population in capital cities across countries. Fast population growth in capital cities is a widespread phenomenon that does not seems to be explained by economic factors. In addition,
Rodrigo Cifuentes S
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Emergent Cities: Micro-foundations of Zipf’s Law
, 2006 The tendency for human beings, economic firms and social institutions to locate together has been the subject of intellectual inquiry for centuries. People and firms are not spread ubiquitously across the globe but have a powerful tendency to organize in
Richard Florida, Robert Axtell
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Zipf's law and criticality in multivariate data without fine-tuning. [PDF]
Phys Rev Lett, 2014 Schwab DJ, Nemenman I, Mehta P.
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