English

Competition between surface relaxation and ballistic deposition models in scale free networks

Physics and Society 2015-06-12 v1 Disordered Systems and Neural Networks

Abstract

In this paper we study the scaling behavior of the fluctuations in the steady state WSW_S with the system size NN for a surface growth process given by the competition between the surface relaxation (SRM) and the Ballistic Deposition (BD) models on degree uncorrelated Scale Free networks (SF), characterized by a degree distribution P(k)kλP(k)\sim k^{-\lambda}, where kk is the degree of a node. It is known that the fluctuations of the SRM model above the critical dimension (dc=2d_c=2) scales logarithmically with NN on euclidean lattices. However, Pastore y Piontti {\it et. al.} [A. L. Pastore y Piontti {\it et. al.}, Phys. Rev. E {\bf 76}, 046117 (2007)] found that the fluctuations of the SRM model in SF networks scale logarithmically with NN for λ<3\lambda <3 and as a constant for λ3\lambda \geq 3. In this letter we found that for a pure ballistic deposition model on SF networks WSW_S scales as a power law with an exponent that depends on λ\lambda. On the other hand when both processes are in competition, we find that there is a continuous crossover between a SRM behavior and a power law behavior due to the BD model that depends on the occurrence probability of each process and the system size. Interestingly, we find that a relaxation process contaminated by any small contribution of ballistic deposition will behave, for increasing system sizes, as a pure ballistic one. Our findings could be relevant when surface relaxation mechanisms are used to synchronize processes that evolve on top of complex networks.

Keywords

Cite

@article{arxiv.1212.1445,
  title  = {Competition between surface relaxation and ballistic deposition models in scale free networks},
  author = {Cristian E. La Rocca and Pablo A. Macri and Lidia A. Braunstein},
  journal= {arXiv preprint arXiv:1212.1445},
  year   = {2015}
}

Comments

8 pages, 6 figures