Suppr超能文献

作为网络之网络的物理网络。

Physical networks as network-of-networks.

作者信息

Pete Gábor, Timár Ádám, Stefánsson Sigurdur Örn, Bonamassa Ivan, Pósfai Márton

机构信息

HUN-REN Alfréd Rényi Institute of Mathematics, Budapest, Hungary.

Department of Stochastics, Institute of Mathematics, Budapest University of Technology and Economics, Műegyetem rkp. 3., H-1111, Budapest, Hungary.

出版信息

Nat Commun. 2024 Jun 7;15(1):4882. doi: 10.1038/s41467-024-49227-8.

Abstract

Physical networks are made of nodes and links that are physical objects embedded in a geometric space. Understanding how the mutual volume exclusion between these elements affects the structure and function of physical networks calls for a suitable generalization of network theory. Here, we introduce a network-of-networks framework where we describe the shape of each extended physical node as a network embedded in space and these networks are bound together by physical links. Relying on this representation, we introduce a minimal model of network growth and we show for a general class of physical networks that volume exclusion induces heterogeneity in both node volume and degree, with the two becoming correlated. These emergent properties strongly affect the dynamics on physical networks: by calculating their Laplacian spectrum as a function of the coupling strength between the nodes we show that degree-volume correlations suppress the role of hubs as early spreaders in diffusive dynamics. We apply the network-of-networks framework to describe several real systems and find properties analog to the minimal model networks. The prevalence of these properties points towards general growth mechanisms that do not depend on the specifics of the systems.

摘要

物理网络由节点和链路组成,这些节点和链路是嵌入几何空间的物理对象。理解这些元素之间的相互体积排斥如何影响物理网络的结构和功能,需要对网络理论进行适当的推广。在这里,我们引入了一个网络-of-网络框架,其中我们将每个扩展物理节点的形状描述为嵌入空间的网络,并且这些网络通过物理链路绑定在一起。基于这种表示,我们引入了一个网络增长的最小模型,并且对于一般类别的物理网络,我们表明体积排斥在节点体积和度上都诱导了异质性,并且两者变得相关。这些涌现特性强烈影响物理网络上的动力学:通过计算它们作为节点之间耦合强度的函数的拉普拉斯谱,我们表明度-体积相关性抑制了中心节点在扩散动力学中作为早期传播者的作用。我们应用网络-of-网络框架来描述几个实际系统,并发现与最小模型网络类似的特性。这些特性的普遍性指向了不依赖于系统细节的一般增长机制。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0b47/11161514/43adc5e8f593/41467_2024_49227_Fig1_HTML.jpg

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验