%0 Unpublished Work
%D 2019
%T Evasión en IVA: Análisis de redes
%A Carlos Gershenson
%A Gerardo Iñiguez
%A Carlos Pineda
%A Rita Guerrero
%A Eduardo Islas
%A Omar Pineda
%A Martín Zumaya
%G eng
%U http://omawww.sat.gob.mx/gobmxtransparencia/Paginas/documentos/estudio_opiniones/Evasion_en_IVA_Analisis_de_Redes.pdf
%0 Journal Article
%J Physica A: Statistical Mechanics and its Applications
%D 2019
%T Rank-frequency distribution of natural languages: A difference of probabilities approach
%A Germinal Cocho
%A Rosalío F. Rodríguez
%A Sergio Sánchez
%A Jorge Flores
%A Carlos Pineda
%A Carlos Gershenson
%K Fokker–Planck equation
%K Languages
%K Master equation
%K Rank dynamics
%X In this paper we investigate the time variation of the rank k of words for six Indo-European languages using the Google Books N-gram Dataset. Based on numerical evidence, we regard k as a random variable whose dynamics may be described by a Fokker–Planck equation which we solve analytically. For low ranks the distinct languages behave differently, maybe due to the syntax rules, whereas for k>50 the law of large numbers predominates. We analyze the frequency distribution of words using the data and their adjustment in terms of time-dependent probability density distributions. We find small differences between the data and the fits due to conflicting dynamic mechanisms, but the data show a consistent behavior with our general approach. For the lower ranks the behavior of the data changes among languages presumably, again, due to distinct dynamic mechanisms. We discuss a possible origin of these differences and assess the novel features and limitations of our work.
%B Physica A: Statistical Mechanics and its Applications
%V 532
%P 121795
%G eng
%U https://doi.org/10.1016/j.physa.2019.121795
%R 10.1016/j.physa.2019.121795