Onsets and Outflow Distributions in Abelian and Stochastic BTW Models
Suman Pramanick

TL;DR
This paper investigates the onset of avalanches and boundary outflow in BTW and stochastic BTW models across different dimensions, revealing power-law dependencies on system size and analyzing boundary distributions.
Contribution
It provides the first detailed analysis of how avalanche and outflow onsets depend on system size in both BTW and stochastic models across multiple dimensions.
Findings
Onset times follow power-law dependence on system size.
Boundary distributions do not follow power-law distributions.
Self-organized critical state densities are estimated for both models.
Abstract
We study the onset of bulk avalanches and boundary outflow in the Bak Tang Wiesenfeld (BTW) model and in the stochastic BTW models by computer simulation. We also study the dependency of these two onset times on system sizes. We observe that these two onset times follow simple power-law dependency on system sizes. We estimate these power-law exponents both for the BTW model and for the stochastic BTW models. We observe the evolution of the density of the system and estimate self-organized critical (SOC) state density both for BTW and stochastic BTW models. We study the boundary distribution for BTW and stochastic BTW models and show that boundary distribution does not follow a power-law distribution. In this paper, all the investigations are done for one-dimensional, two-dimensional, and three-dimensional cases.
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Taxonomy
TopicsComplex Network Analysis Techniques · Opinion Dynamics and Social Influence · Theoretical and Computational Physics
