Volume 72, Number 5, December 2005
|Page(s)||865 - 871|
|Section||Interdisciplinary physics and related areas of science and technology|
|Published online||26 October 2005|
Statistical properties of the circulation of magazines and newspapers
Departamento de Física, Universidade Estadual de Maringá Avenida Colombo 5790, 87020-900, Maringá-PR, Brazil
Accepted: 28 September 2005
We analyze data sets containing the circulation of magazines and newspapers. We show that the cumulative distribution follows, in the range of large circulation, a power law behavior whose exponent is ; and deviations from the asymptotic power law behavior can be well described by a q-exponential distribution (Zipf-Mandelbrot law) from Tsallis statistics. We also show that, in the range of large circulation, the distribution of logarithmic growth rates is consistent with an exponential; and the standard deviation of the growth rates is practically independent of the circulation (size). Moreover, we employ a model, inspired in one of the simplest model for firm growth, in order to reproduce some of our findings.
PACS: 89.90.+n – Other topics in areas of applied and interdisciplinary physics / 89.75.Da – Systems obeying scaling laws / 02.50.-r – Probability theory, stochastic processes, and statistics
© EDP Sciences, 2005
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