English

Scaling of spin avalanches in growing networks

Disordered Systems and Neural Networks 2015-05-13 v2 Statistical Mechanics

Abstract

Growing networks decorated with antiferromagnetically coupled spins are archetypal examples of complex systems due to the frustration and the multivalley character of their energy landscapes. Here we use the damage spreading method (DS) to investigate the cohesion of spin avalanches in the exponential networks and the scale-free networks. On the contrary to the conventional methods, the results obtained from DS suggest that the avalanche spectra are characterized by the same statistics as the degree distribution in their home networks. Further, the obtained mean range ZZ of an avalanche, i.e. the maximal distance reached by an avalanche from the damaged site, scales with the avalanche size ss as Z/Nβ=f(s/Nα)Z/N^\beta =f(s/N^{\alpha}), where α=0.5\alpha=0.5 and β=0.33\beta=0.33. These values are true for both kinds of networks for the number MM of nodes to which new nodes are attached between 4 and 10; a check for M=25 confirms these values as well.

Keywords

Cite

@article{arxiv.0904.2697,
  title  = {Scaling of spin avalanches in growing networks},
  author = {Joanna Tomkowicz and Krzysztof Kulakowski},
  journal= {arXiv preprint arXiv:0904.2697},
  year   = {2015}
}

Comments

10 pages, 9 figures. More data in Fig. 7

R2 v1 2026-06-21T12:52:30.039Z