A perturbative approach to the Bak-Sneppen Model
arXiv:cond-mat/0101039 · doi:10.1103/PhysRevLett.86.1896
Abstract
We study the Bak-Sneppen model in the probabilistic framework of the Run Time Statistics (RTS). This model has attracted a large interest for its simplicity being a prototype for the whole class of models showing Self-Organized Criticality. The dynamics is characterized by a self-organization of almost all the species fitnesses above a non-trivial threshold value, and by a lack of spatial and temporal characteristic scales. This results in {\em avalanches} of activity power law distributed. In this letter we use the RTS approach to compute the value of , the value of the avalanche exponent and the asymptotic distribution of minimal fitnesses.
4 pages, 3 figures, to be published on Physical Review Letters
Cited by in corpus (9)
- Interface depinning versus absorbing-state phase transitions
- Self-Organization and Complex Networks
- On the thresholds, probability densities, and critical exponents of Bak-Sneppen-like models
- On singular probability densities generated by extremal dynamics
- Local equilibrium in the Bak-Sneppen model
- Branching Process in a Stochastic Extremal Model
- Parallel dynamics and computational complexity of the Bak-Sneppen model
- Asymmetric dynamics and critical behavior in the Bak-Sneppen model
- A Self-organized model for network evolution