A General Growth Model for the Emergence of Power-law Distributions

作者:Zhang Shiwu*; Liu Jiming
来源:IEEE International Conference on Systems, Man and Cybernetics, 2009-10-11 to 2009-10-14.
DOI:10.1109/ICSMC.2009.5346832

摘要

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, Zipf-laws, 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.

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