TY - UNPB
T1 - Evasión en IVA: Análisis de redes
Y1 - 2019
A1 - Carlos Gershenson
A1 - Gerardo Iñiguez
A1 - Carlos Pineda
A1 - Rita Guerrero
A1 - Eduardo Islas
A1 - Omar Pineda
A1 - Martín Zumaya
UR - http://omawww.sat.gob.mx/gobmxtransparencia/Paginas/documentos/estudio_opiniones/Evasion_en_IVA_Analisis_de_Redes.pdf
N1 - Estudio contratado por el SAT
ER -
TY - JOUR
T1 - Rank-frequency distribution of natural languages: A difference of probabilities approach
JF - Physica A: Statistical Mechanics and its Applications
Y1 - 2019
A1 - Germinal Cocho
A1 - Rosalío F. Rodríguez
A1 - Sergio Sánchez
A1 - Jorge Flores
A1 - Carlos Pineda
A1 - Carlos Gershenson
KW - Fokker–Planck equation
KW - Languages
KW - Master equation
KW - Rank dynamics
AB - 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.
VL - 532
UR - https://doi.org/10.1016/j.physa.2019.121795
ER -