Zipfian and Lotkaian

نویسنده

  • L. Egghe
چکیده

This paper studies concentration (i.e. inequality) aspects of the functions of Zipf and of Lotka. Since both functions are power laws (i.e. they are – mathematically the same) it suffices to develop one concentration theory for power laws and apply it twice for the different interpretations of the laws of Zipf and Lotka. After a brief repetition of the functional relationships between Zipf’s law and Lotka’s law, we prove that Price’s law of concentration is equivalent with Zipf’s law. The major part of the paper is devoted to the development of continuous concentration theory, based on Lorenz curves. We calculate the Lorenz curve for power functions and, based on this, calculate some important concentration measures such as the ones of Gini, Theil and the variation coefficient. 1 Permanent address

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

An interpretation of the effort function through the mathematical formalism of Exponential Informetric Process

Statistical distributions in the production or utilization of information are most often studied in the framework of Lotkaian informetrics. In this article, we show that an Information Production Process (IPP), traditionally characterized by Lotkaian distributions, can be fruitfully studied using the effort function, a concept introduced in an earlier article to define an Exponential Informetri...

متن کامل

Lotkaian informetrics and applications to social networks

Two-dimensional informetrics is defined in the general context of sources that produce items and examples are given. These systems are called “Information Production Processes” (IPPs). They can be described by a size-frequency function f or, equivalently, by a rank-frequency function g. If f is a decreasing power law then we say that this function is the law of Lotka and it is equivalent with t...

متن کامل

Zipfian word frequencies support statistical word segmentation

Word frequencies in natural language follow a Zipfian distribution. Artificial language experiments that are meant to simulate language acquisition generally use uniform word frequency distributions, however. In the present study we examine whether a Zipfian frequency distribution influences adult learners’ word segmentation performance. Using two experimental paradigms (a forced choice task an...

متن کامل

Graph Operations and Zipfian Degree Distributions

The probability distribution on a set S = { 1, 2, . . . , n } defined by Pr(k) = 1/(Hnk), where Hn in the nth harmonic number, is commonly called a Zipfian distribution. In this note we look at the degree distribution of graphs created from graphs with Zipfian degree distributions using some standard graph theoretical operations. Introduction: The probability distribution on a set S = { 1, 2, ....

متن کامل

Zipfian frequency distributions facilitate word segmentation in context.

Word frequencies in natural language follow a highly skewed Zipfian distribution, but the consequences of this distribution for language acquisition are only beginning to be understood. Typically, learning experiments that are meant to simulate language acquisition use uniform word frequency distributions. We examine the effects of Zipfian distributions using two artificial language paradigms-a...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 2004