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Zipf's law

Known as: Zipf's laws, Zipf distribution, Zipf 
Zipf's law /ˈzɪf/ is an empirical law formulated using mathematical statistics that refers to the fact that many types of data studied in the… 
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Related topics

Related topics

30 relations
Animal consciousnessBibliogramBradford's lawBrown Corpus

Broader (3)

BibliometricsComputational linguisticsCorpus linguistics

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
2017
2017
Rich or poor: Who should pay higher tax rates?
A dynamic agent model is introduced with an annual random wealth multiplicative process followed by taxes paid according to a… 
Highly Cited
2014
Highly Cited
2014
Optimal caching for device-to-device content distribution in 5G networks
Content distribution using direct device-to-device D2D communication is a promising approach for optimizing the utilization of… 
Highly Cited
2012
Highly Cited
2012
PDDRA: A new pre-fetching based dynamic data replication algorithm in data grids
Review
2011
Review
2011
Evolution in Social Networks: A Survey
There is much research on social network analysis but only recently did scholars turn their attention to the volatility of social… 
Highly Cited
2008
Highly Cited
2008
On some new bibliometric applications of statistics related to the h-index
In this paper some new fields of application of Hirsch-related statistics are presented. Furthermore, so far unrevealed… 
2006
2006
An Applicative Study of Zipf ’ s Law on Web Cache
Studying the Web access characteristics is the foundation of managing Web cache efficiently. In order to get the characteristics… 
2001
2001
Zipf's law in human heartbeat dynamics
It is shown that the distribution of low variability periods in the activity of human heart rate typically follows a multi… 
1996
1996
Relating Turing’s Formula and Zipf’s Law
An asymptote is derived from Turing's local reestimation formula for population frequencies, and a local reestimation formula is… 
1993
1993
A Parallel Sort Merge Join Algorithm for Managing Data Skew
A parallel sort-merge-join algorithm which uses a divide-and-conquer approach to address the data skew problem is proposed. The… 
1987
1987
Estimation of Zipf parameters
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