English

Triadic percolation on multilayer networks

Adaptation and Self-Organizing Systems 2026-02-03 v2 Disordered Systems and Neural Networks Statistical Mechanics Chaotic Dynamics Physics and Society

Abstract

Triadic interactions are special types of higher-order interactions that occur when regulator nodes modulate the interactions between other two or more nodes. In presence of triadic interactions, a percolation process occurring on a single-layer network becomes a fully-fledged dynamical system, characterized by period-doubling and a route to chaos. Here, we generalize the model to multilayer networks and name it as the multilayer triadic percolation (MTP) model. We find a much richer dynamical behavior of the MTP model than its single-layer counterpart. MTP displays a Neimark-Sacker bifurcation, leading to oscillations of arbitrarily large period or pseudo-periodic oscillations. Moreover, MTP admits period-two oscillations without negative regulatory interactions, whereas single-layer systems only display discontinuous hybrid transitions. This comprehensive model offers new insights on the importance of regulatory interactions in real-world systems such as brain networks, climate, and ecological systems.

Keywords

Cite

@article{arxiv.2510.09341,
  title  = {Triadic percolation on multilayer networks},
  author = {Hanlin Sun and Filippo Radicchi and Ginestra Bianconi},
  journal= {arXiv preprint arXiv:2510.09341},
  year   = {2026}
}

Comments

15 pages, 9 figures

R2 v1 2026-07-01T06:29:21.499Z