Asymmetry in interdependence makes a multilayer system more robust against cascading failures
| Autor: | Ying-Cheng Lai, Run-Ran Liu, Chun-Xiao Jia |
|---|---|
| Rok vydání: | 2019 |
| Předmět: |
Social and Information Networks (cs.SI)
FOS: Computer and information sciences Phase transition Computer science Node (networking) media_common.quotation_subject FOS: Physical sciences Computer Science - Social and Information Networks Dynamical Systems (math.DS) Network layer Computational Physics (physics.comp-ph) Topology 01 natural sciences Asymmetry Cascading failure 010305 fluids & plasmas Interdependence Robustness (computer science) Percolation 0103 physical sciences FOS: Mathematics Mathematics - Dynamical Systems 010306 general physics Physics - Computational Physics media_common |
| Zdroj: | Physical review. E. 100(5-1) |
| ISSN: | 2470-0053 |
| Popis: | Multilayer networked systems are ubiquitous in nature and engineering, and the robustness of these systems against failures is of great interest. A main line of theoretical pursuit has been percolation induced cascading failures, where interdependence between network layers is conveniently and tacitly assumed to be symmetric. In the real world, interdependent interactions are generally asymmetric. To uncover and quantify the impact of asymmetry in interdependence on network robustness, we focus on percolation dynamics in double-layer systems and implement the following failure mechanism: once a node in a network layer fails, the damage it can cause depends not only on its position in the layer but also on the position of its counterpart neighbor in the other layer. We find that the characteristics of the percolation transition depend on the degree of asymmetry, where the striking phenomenon of a switch in the nature of the phase transition from first- to second-order arises. We derive a theory to calculate the percolation transition points in both network layers, as well as the transition switching point, with strong numerical support from synthetic and empirical networks. Not only does our work shed light upon the factors that determine the robustness of multilayer networks against cascading failures, but it also provides a scenario by which the system can be designed or controlled to reach a desirable level of resilience. Comment: 20 pages, 7 figures |
| Databáze: | OpenAIRE |
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