Generalized Sandpile Dynamics on Artificial and Real-World Directed Networks
The main finding of this paper is a novel avalanche-size exponent τ ≈ 1.87 when the generalized sandpile dynamics evolves on the real-world Japanese inter-firm network. The topology of this network is non-layered and directed, displaying the typical bow-tie structure found in real-world directed networks, with cycles and triangles. We show that one can move from a strictly layered regular lattice to a more fluid structure of the inter-firm network in a few simple steps. Relaxing the regular lattice structure by introducing an interlayer distribution for the interactions, forces the scaling exponent of the avalanche-size probability density function τ out of the two-dimensional directed sandpile universality class τ = 4/3, into the mean field universality class τ = 3/2. Numerical investigation shows that these two classes are the only that exist on the directed sandpile, regardless of the underlying topology, as long as it is strictly layered. Randomly adding a small proportion of links connecting non-adjacent layers in an otherwise layered network takes the system out of the mean field regime to produce non-trivial avalanche-size probability density function. Although these do not display proper scaling, they closely reproduce the behavior observed on the Japanese inter-firm network.
＞For more details, please refer to the link here.
Tokyo Institute of Technology, Nicky Zachariou, Paul Expert, Misako Takayasu, and Kim Christensen