English

Bootstrap Percolation on Complex Networks

Statistical Mechanics 2015-03-13 v2 Mathematical Physics math.MP Probability Physics and Society

Abstract

We consider bootstrap percolation on uncorrelated complex networks. We obtain the phase diagram for this process with respect to two parameters: ff, the fraction of vertices initially activated, and pp, the fraction of undamaged vertices in the graph. We observe two transitions: the giant active component appears continuously at a first threshold. There may also be a second, discontinuous, hybrid transition at a higher threshold. Avalanches of activations increase in size as this second critical point is approached, finally diverging at this threshold. We describe the existence of a special critical point at which this second transition first appears. In networks with degree distributions whose second moment diverges (but whose first moment does not), we find a qualitatively different behavior. In this case the giant active component appears for any f>0f>0 and p>0p>0, and the discontinuous transition is absent. This means that the giant active component is robust to damage, and also is very easily activated. We also formulate a generalized bootstrap process in which each vertex can have an arbitrary threshold.

Keywords

Cite

@article{arxiv.1003.5583,
  title  = {Bootstrap Percolation on Complex Networks},
  author = {G J Baxter and S N Dorogovtsev and A V Goltsev and J F F Mendes},
  journal= {arXiv preprint arXiv:1003.5583},
  year   = {2015}
}

Comments

9 pages, 3 figures

R2 v1 2026-06-21T15:03:59.318Z