Damián H. Zanette, Marcelo A. Montemurro
We investigate the origin of Zipf's law for words in written texts by means of a stochastic dynamical model for text generation. The model incorporates both features related to the general structure of languages and memory effects inherent to the production of long coherent messages in the communication process. It is shown that the multiplicative dynamics of our model leads to rank-frequency distributions in quantitative agreement with empirical data. Our results give support to the linguistic relevance of Zipf's law in human language.
July 11, 2006 with social media, the consumers are in control of production, programming, and distribution … which is a complete reversal of the traditional media model. This reversal in control leads to some interesting consequences, the most obvious