Zipf's law

E595317

Zipf's law is an empirical statistical principle observing that in many datasets, such as word frequencies in natural language, the frequency of an item is inversely proportional to its rank in a frequency table.

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Statements (49)

Predicate Object
instanceOf empirical law
power law
statistical law
appliesTo city size distributions
income distributions
internet traffic
natural language text
population of cities
scientific paper citations
web site popularity
word frequency distributions
approximateDate 1940s
category empirical statistical laws
laws of linguistics
coreStatement the frequency of an item is inversely proportional to its rank
describes heavy-tailed distributions
scale-free behavior
explainedBy principle of least effort
field complex systems
information theory
quantitative linguistics
statistical linguistics
hasGeneralization Zipf–Mandelbrot law NERFINISHED
discrete Pareto distribution
mathematicalForm f(r) = C / r^s
f(r) ∝ 1/r
namedAfter George Kingsley Zipf NERFINISHED
originatedBy George Kingsley Zipf NERFINISHED
property approximate rather than exact
empirically observed
scale invariant form
publicationContext Human Behavior and the Principle of Least Effort NERFINISHED
relatedTo Benford's law NERFINISHED
Heaps' law NERFINISHED
Pareto distribution NERFINISHED
power-law distribution
rank-size rule
typicalExponent s ≈ 1
usedIn computational linguistics
corpus linguistics
data compression
economics
information retrieval
language modeling
natural language processing
network science
urban studies
variable frequency
rank

Referenced by (2)

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