A general growth model for the emergence of power-law distributions

Shiwu Zhang*, Jiming LIU

*Corresponding author for this work

Research output: Chapter in book/report/conference proceedingConference proceedingpeer-review

Abstract

An overwhelming phenomena across natural systems, social systems and ecosystems is discovered in recent years. The phenomena is coined by many terms, such as 1/f noise, Zipflaws, or scale-free, while power-law distribution of various events or metrics is the fundamental fact that exists in every complex system. It is believed that there exist a mechanism to rule the dynamics of complex system and generate the distribution. In this paper, a general growth model which incorporate Lotka-Volterra dynamics is developed to explain the mechanism of the power-law distribution preliminary. In the model, the influence on power distribution of the spreading rate and the mortality rate can be easily analyzed and explained.

Original languageEnglish
Title of host publicationProceedings 2009 IEEE International Conference on Systems, Man and Cybernetics, SMC 2009
Pages4210-4213
Number of pages4
DOIs
Publication statusPublished - 2009
Event2009 IEEE International Conference on Systems, Man and Cybernetics, SMC 2009 - San Antonio, TX, United States
Duration: 11 Oct 200914 Oct 2009

Publication series

NameConference Proceedings - IEEE International Conference on Systems, Man and Cybernetics
ISSN (Print)1062-922X

Conference

Conference2009 IEEE International Conference on Systems, Man and Cybernetics, SMC 2009
Country/TerritoryUnited States
CitySan Antonio, TX
Period11/10/0914/10/09

Scopus Subject Areas

  • Electrical and Electronic Engineering
  • Control and Systems Engineering
  • Human-Computer Interaction

User-Defined Keywords

  • Dynamics
  • Lotka-Volterra equations
  • Power-law distribution

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