Physical Review Letters · 2003 · 255 citations · 26 references
EngineeringPhysicsComplex SystemsDynamical SystemsStochastic ProcessesBranching ProcessesNetwork DynamicsNetwork TheoryScale-free NetworksSmall-world NetworksStochastic NetworksAvalanche DynamicsDegree ExponentMean-field ApproximationMean-field ModelsNumerical SimulationPercolation ThresholdsScale-free Network ModelingScale-free Topology
We investigate the avalanche dynamics of the Bak-Tang-Wiesenfeld sandpile model on scale-free (SF) networks, where the threshold height of each node is distributed heterogeneously, given as its own degree. We find that the avalanche size distribution follows a power law with an exponent $\ensuremath{\tau}$. Applying the theory of the multiplicative branching process, we obtain the exponent $\ensuremath{\tau}$ and the dynamic exponent $z$ as a function of the degree exponent $\ensuremath{\gamma}$ of SF networks as $\ensuremath{\tau}=\ensuremath{\gamma}/(\ensuremath{\gamma}\ensuremath{-}1)$ and $z=(\ensuremath{\gamma}\ensuremath{-}1)/(\ensuremath{\gamma}\ensuremath{-}2)$ in the range $2<\ensuremath{\gamma}<3$ and the mean-field values $\ensuremath{\tau}=1.5$ and $z=2.0$ for $\ensuremath{\gamma}>3$, with a logarithmic correction at $\ensuremath{\gamma}=3$. The analytic solution supports our numerical simulation results. We also consider the case of a uniform threshold, finding that the two exponents reduce to the mean-field ones.
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Statistical mechanics of complex networks
Réka Albert, Albert-Ĺaszló Barabási · Reviews of Modern Physics · 2002 · 20.6K citations · Full text
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