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相依高阶网络的稳健性。

Robustness of interdependent higher-order networks.

机构信息

School of Computer Science, Southwest Petroleum University, Chengdu 610500, China.

Department of Physics, University of Fribourg, Fribourg 1700, Switzerland.

出版信息

Chaos. 2023 Jul 1;33(7). doi: 10.1063/5.0152480.

Abstract

In real complex systems, interactions occur not only between a pair of nodes, but also in groups of three or more nodes, which can be abstracted as higher-order structures in the networks. The simplicial complex is one of a model to represent systems with both low-order and higher-order structures. In this paper, we study the robustness of interdependent simplicial complexes under random attacks, where the complementary effects of the higher-order structure are introduced. When a higher-order node in a 2-simplex fails, its dependent node in the other layer survives with a certain probability due to the complementary effects from the 2-simplex. By using the percolation method, we derive the percolation threshold and the size of the giant component when the cascading failure reaches its steady state. The simulation results agree well with analytical predictions. We find that the type of phase transition changes from the first-order to the second-order when the complementary effect of the higher-order structure on the dependent node increases or the number of 2-simplices in the interdependent simplicial complex increases. While the interlayer coupling strength increases, the type of phase transition changes from the second-order to the first-order. In particular, even if the higher-order interactions do not provide complementary effects for dependent nodes, the robustness of the interdependent heterogeneous simplicial complex is higher than that of the ordinary interdependent network with the same average degree due to the existence of 2-simplices in the system. This study furthers our understanding in the robustness of interdependent higher-order networks.

摘要

在真实的复杂系统中,相互作用不仅发生在一对节点之间,还发生在三个或更多节点的群体中,这些可以在网络中抽象为高阶结构。单纯复形是一种表示具有低阶和高阶结构的系统的模型。在本文中,我们研究了随机攻击下相依单纯复形的鲁棒性,其中引入了高阶结构的互补效应。当 2-单纯形中的高阶节点失效时,由于来自 2-单纯形的互补效应,其在另一层的依赖节点以一定的概率存活。通过使用渗流方法,我们推导出了级联失效达到稳定状态时的渗流阈值和巨配分函数的大小。模拟结果与分析预测吻合良好。我们发现,当高阶结构对依赖节点的互补效应增加或相依单纯复形中的 2-单纯形数量增加时,从一阶相变到二阶相变的相变类型发生变化。随着层间耦合强度的增加,相变类型从二阶相变到一阶相变发生变化。特别是,即使高阶相互作用不为依赖节点提供互补效应,由于系统中存在 2-单纯形,相依异构单纯复形的鲁棒性也高于具有相同平均度数的普通相依网络。这项研究进一步加深了我们对相依高阶网络鲁棒性的理解。

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