The power-law distribution in the geometrically growing system: statistic of the COVID-19 pandemic
type: Item
instance of: scholarly article
title: The power-law distribution in the geometrically growing system: statistic of the COVID-19 pandemic
zbMATH Open document ID: 1548.92046
DOI: 10.1063/5.0068220
author: Kim Chol-jun
published in: Chaos
publication date: 2024-06-18T00:00:00Z
Mathematics Subject Classification ID: 92D30
Mathematics Subject Classification ID: 62P10
zbMATH DE Number: 7867653
MaRDI profile type: Publication
cites work: Emergence of Scaling in Random Networks
cites work: On the emergence of a power law in the distribution of COVID-19 cases
cites work: Zipf's Law for Cities: An Explanation
cites work: Les inégalités économiques.
cites work: The local structure of turbulence in incompressible viscous fluid for very large Reynolds' numbers.
cites work: A refinement of previous hypotheses concerning the local structure of turbulence in a viscous incompressible fluid at high Reynolds number
cites work: A Brief History of Generative Models for Power Law and Lognormal Distributions
cites work: The Double Pareto-Lognormal Distribution—A New Parametric Model for Size Distributions
cites work: ON A CLASS OF SKEW DISTRIBUTION FUNCTIONS
cites work: Critical phenomena in natural sciences. Chaos, fractals, selforganization and disorder: concepts and tools.
description: scientific article; zbMATH DE number 7867653