The ancient and extinct language Meroitic is investigated using Zipf’s Law. In particular, since Meroitic is still undeciphered, the Zipf law analysis allows us to assess the quality of current texts and possible avenues for future investigation using statistical techniques.

The present study raises the question in how far low-level linguistic units, such as letters, graphemes, sounds and phonemes, follow one and the same pattern as to their frequency distribution. Based on Altmann/Lehfeldt’s (1980) study on 63 samples from 38 different languages, a separate reanalysis of the letter/grapheme vs. sound/phoneme samples is made, concentrating on the empirical entropy ...

We present here assessment of the latent market information embedded in the raw, affinity normalized , and partial correlations. We compared the Zipf plot, spectrum, and distribution of the eigenvalues for each matrix with the results of the corresponding random matrix. The analysis was performed on stocks belonging to the New York and Tel Aviv Stock Exchange, for the time period of January 200...

Numerical data for the distribution of citations are examined for: (i) papers published in 1981 in journals which are catalogued by the Institute for Scientific Information (783,339 papers) and (ii) 20 years of publications in Physical Review D, vols. 11-50 (24,296 papers). A Zipf plot of the number of citations to a given paper versus its citation rank appears to be consistent with a power-law...

In this paper, the data of Chinese stock markets is analyzed by the statistical methods and computer sciences. The fluctuations of stock prices and trade volumes are investigated by the method of Zipf plot, where Zipf plot technique is frequently used in physics science. In the first part of the present paper, the data of stocks prices and trade volumes in Shanghai Stock Exchange and Shenzhen S...

This article argues that the tools of system dynamics and urn theory can be used to model self-organizing markets. A fundamental characteristic of self-organizing markets is that size of firms by rank order follows the Zipf distributions. While complex industrial structures of this kind are hard to describe with conventional theories, system dynamics and urn theory are equipped with adequate to...

p1, p2, and p3 all being constants. The same inverse power-law statistical distributions were found in embarrassingly different situations (e.g., [6, 7]). In economics, it was discovered by Pareto [8] over 100 years ago and states that incomes of individuals or firms are inversely proportional to their rank. In less formal words [9], “most success seems to migrate to those people or companies w...