系统级联的混合通用性类

IF 15.7 1区 综合性期刊 Q1 MULTIDISCIPLINARY SCIENCES
I. Bonamassa, B. Gross, J. Kertész, S. Havlin
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引用次数: 0

摘要

级联是潜藏在许多复杂系统系统性风险之下的自我强化过程。理解这些现象的普遍方面是基本的兴趣,但通常与特定模型中的数值观测和有限的见解相关联。在这里,我们发展了一种统一的方法,揭示了由级联过程的全局对称性决定的两种不同的级联普遍性。我们提供了预测以平均场旋量指数和d维修正相结合为特征的混合临界现象的超尺度参数,并展示了宇称不变性如何影响临界雪崩的几何形状和寿命。我们的理论适用于任意维度的广泛网络系统,正如我们通过包含经典和新型级联模型的模拟所证明的那样,揭示了适用于实验验证的级联临界现象的普遍原理。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Hybrid universality classes of systemic cascades

Hybrid universality classes of systemic cascades

Cascades are self-reinforcing processes underlying the systemic risk of many complex systems. Understanding the universal aspects of these phenomena is of fundamental interest, yet typically bound to numerical observations in ad-hoc models and limited insights. Here, we develop a unifying approach that reveals two distinct universality classes of cascades determined by the global symmetry of the cascading process. We provide hyperscaling arguments predicting hybrid critical phenomena characterized by a combination of both mean-field spinodal exponents and d-dimensional corrections, and show how parity invariance influences the geometry and lifetime of critical avalanches. Our theory applies to a wide range of networked systems in arbitrary dimensions, as we demonstrate by simulations encompassing classic and novel cascade models, revealing universal principles of cascade critical phenomena amenable to experimental validation.

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来源期刊
Nature Communications
Nature Communications Biological Science Disciplines-
CiteScore
24.90
自引率
2.40%
发文量
6928
审稿时长
3.7 months
期刊介绍: Nature Communications, an open-access journal, publishes high-quality research spanning all areas of the natural sciences. Papers featured in the journal showcase significant advances relevant to specialists in each respective field. With a 2-year impact factor of 16.6 (2022) and a median time of 8 days from submission to the first editorial decision, Nature Communications is committed to rapid dissemination of research findings. As a multidisciplinary journal, it welcomes contributions from biological, health, physical, chemical, Earth, social, mathematical, applied, and engineering sciences, aiming to highlight important breakthroughs within each domain.
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