English

Hidden transition in multiplex networks

Physics and Society 2022-03-15 v2 Disordered Systems and Neural Networks

Abstract

Weak multiplex percolation generalizes percolation to multi-layer networks, represented as networks with a common set of nodes linked by multiple types (colors) of edges. We report a novel discontinuous phase transition in this problem. This anomalous transition occurs in networks of three or more layers without unconnected nodes, P(0)=0P(0)=0. Above a critical value of a control parameter, the removal of a tiny fraction Δ\Delta of nodes or edges triggers a failure cascade which ends either with the total collapse of the network, or a return to stability with the system essentially intact. The discontinuity is not accompanied by any singularity of the giant component, in contrast to the discontinuous hybrid transition which usually appears in such problems. The control parameter is the fraction of nodes in each layer with a single connection, Π=P(1)\Pi=P(1). We obtain asymptotic expressions for the collapse time and relaxation time, above and below the critical point Πc\Pi_c, respectively. In the limit Δ0\Delta\to0 the total collapse for Π>Πc\Pi>\Pi_\text{c} takes a time T1/(ΠΠc)T \propto 1/(\Pi-\Pi_\text{c}), while there is an exponential relaxation below Πc\Pi_\text{c} with a relaxation time τ1/[ΠcΠ]\tau \propto 1/[\Pi_\text{c}-\Pi].

Keywords

Cite

@article{arxiv.2111.12524,
  title  = {Hidden transition in multiplex networks},
  author = {R. A. da Costa and G. J. Baxter and S. N. Dorogovtsev and J. F. F. Mendes},
  journal= {arXiv preprint arXiv:2111.12524},
  year   = {2022}
}

Comments

12 pages, 6 figures

R2 v1 2026-06-24T07:50:35.737Z