Abstract
In this paper, we develop a bipartite network framework to study the robustness of interdependent hypergraphs. From such a perspective, nodes and hyperedges of a hypergraph are equivalent to each other, a property that largely simplifies their mathematical treatment. We develop a general percolation theory based on this representation and apply it to study the robustness of interdependent hypergraphs against random damage, which we verify with numerical simulations. We analyze a variety of interacting patterns, from heterogeneous to correlated hyperstructures, and from full- to partial-dependency couplings between an arbitrary number of hypergraphs, and characterize their structural stability via their phase diagrams. Given its generality, we expect that our framework will provide useful insights for the development of more realistic venues to characterize cascading failures in interdependent higher-order systems.
Original language | English |
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Article number | 013049 |
Journal | Physical Review Research |
Volume | 6 |
Issue number | 1 |
DOIs | |
State | Published - Jan 2024 |
Externally published | Yes |
Bibliographical note
Publisher Copyright:© 2024 authors. Published by the American Physical Society. Published by the American Physical Society under the terms of the Creative Commons Attribution 4.0 International license. Further distribution of this work must maintain attribution to the author(s) and the published article's title, journal citation, and DOI.
Funding
This work was supported in part by the National Natural Science Foundation of China (Grants No. 11835003 and No. 12075088) and the Natural Science Foundation of Zhejiang Province (Grant No. Y22F035316). I.B. acknowledges funding from ERC Grant No. 810115-DYNASET.
Funders | Funder number |
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European Commission | 810115-DYNASET |
National Natural Science Foundation of China | 11835003, 12075088 |
Natural Science Foundation of Zhejiang Province | Y22F035316 |