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相关论文: Mesoscale symmetries explain dynamical equivalence…

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The dynamics of networks of interacting systems depends intricately on the interaction topology. When the dynamics is explored, generally the whole topology has to be considered. However, we show that there are certain mesoscale subgraphs…

混沌动力学 · 物理学 2012-07-06 Anne-Ly Do , Johannes Höfener , Thilo Gross

Many natural and engineered complex networks have intricate mesoscopic organization, e.g., the clustering of the constituent nodes into several communities or modules. Often, such modularity is manifested at several different hierarchical…

物理与社会 · 物理学 2015-05-30 Sitabhra Sinha , Swarup Poria

Food webs have been found to exhibit remarkable motif profiles, patterns in the relative prevalences of all possible three-species sub-graphs, and this has been related to ecosystem properties such as stability and robustness. Analysing 46…

种群与进化 · 定量生物学 2016-09-15 Janis Klaise , Samuel Johnson

Food webs are networks describing who is eating whom in an ecological community. By now it is clear that many aspects of food-web structure are reproducible across diverse habitats, yet little is known about the driving force behind this…

种群与进化 · 定量生物学 2007-05-23 A. G. Rossberg , H. Matsuda , T. Amemiya , K. Itoh

Mesoscale structures are an integral part of the abstraction and analysis of complex systems. They reveal a node's function in the network, and facilitate our understanding of the network dynamics. For example, they can represent…

统计方法学 · 统计学 2023-01-27 Luka V. Petrović , Vincenzo Perri

An important challenge in theoretical ecology is to find good, coarse-grained representations of complex food webs. Here we use the approach of generalized modeling to show that it may be possible to formulate a coarse-graining algorithm…

种群与进化 · 定量生物学 2009-06-03 Thilo Gross , Ulrike Feudel

Why are large, complex ecosystems stable? Both theory and simulations of current models predict the onset of instability with growing size and complexity, so for decades it has been conjectured that ecosystems must have some unidentified…

种群与进化 · 定量生物学 2016-08-11 Samuel Johnson , Virginia Domínguez-García , Luca Donetti , Miguel A. Muñoz

Knowing which parts of a complex system have identical roles simplifies computations and reveals patterns in its network structure. Group theory has been applied to study symmetries in unweighted networks. However, in real-world weighted…

物理与社会 · 物理学 2025-06-16 Julia Korol , Mateusz Iskrzyński

From the perfect radial symmetries of radiolarian mineral skeletons to the broken symmetry of homochirality, the logic of Nature's regularities has fascinated scientists for centuries. Some of Nature's symmetries are clearly visible in…

When studying a complex system it is often useful to think of the system as a network of interacting units. One can then ask if some properties of the entire network are already explained by a small part of the network - a network motif. A…

种群与进化 · 定量生物学 2025-09-03 Melanie Habermann , Ashkaan K. Fahimipour , Justin D. Yeakel , Thilo Gross

Food webs, networks of feeding relationships among organisms, provide fundamental insights into mechanisms that determine ecosystem stability and persistence. Despite long-standing interest in the compartmental structure of food webs, past…

种群与进化 · 定量生物学 2013-06-18 Edward B. Baskerville , Andy P. Dobson , Trevor Bedford , Stefano Allesina , Mercedes Pascual

Networks are fundamental for our understanding of complex systems. Interactions between individual nodes in networks generate network motifs - small recurrent patterns that can be considered the network's building-block components,…

动力系统 · 数学 2022-09-14 Miri Adler , Ruslan Medzhitov

We investigate global stability and dynamics of large ecological networks by classical methods of the dynamical system theory, including Hamiltonian methods, and averaging. Our analysis exploits the network topological structure, namely,…

偏微分方程分析 · 数学 2015-10-05 Vladimir Kozlov , Sergey Vakulenko , Uno Wennergren

We analyse the stability of linear dynamical systems defined on sparse, random graphs with predator-prey, competitive, and mutualistic interactions. These systems are aimed at modelling the stability of fixed points in large systems defined…

统计力学 · 物理学 2025-01-30 Andrea Marcello Mambuca , Chiara Cammarota , Izaak Neri

Spatio-temporal network dynamics is an emergent property of many complex systems which remains poorly understood. We suggest a new approach to its study based on the analysis of dynamical motifs -- small subnetworks with periodic and…

无序系统与神经网络 · 物理学 2007-05-23 Valentin P. Zhigulin

Uncovering structural properties of ecological networks is a crucial starting point of studying the system's stability in response to various types of perturbations. We analyze pollination and seed disposal networks, which are…

物理与社会 · 物理学 2021-11-16 Sang Hoon Lee

The stable functionality of networked systems is a hallmark of their natural ability to coordinate between their multiple interacting components. Yet, strikingly, real-world networks seem random and highly irregular, apparently lacking any…

适应与自组织系统 · 物理学 2023-04-25 Chandrakala Meena , Chittaranjan Hens , Suman Acharyya , Simcha Haber , Stefano Boccaletti , Baruch Barzel

We analyze the properties of seven community food webs from a variety of environments--including freshwater, marine-freshwater interfaces and terrestrial environments. We uncover quantitative unifying patterns that describe the properties…

无序系统与神经网络 · 物理学 2009-11-07 J. Camacho , R. Guimera , L. A. N. Amaral

A commonly used approach to study stability in a complex system is by analyzing the Jacobian matrix at an equilibrium point of a dynamical system. The equilibrium point is stable if all eigenvalues have negative real parts. Here, by…

种群与进化 · 定量生物学 2016-09-02 James P. L. Tan

Previous work has shown that species interacting in an ecosystem and actors transacting in an economic context may have notable similarities in behavior. However, the specific mechanism that may underlie similarities in nature and human…

物理与社会 · 物理学 2011-10-04 Serguei Saavedra , Felix Reed-Tsochas , Brian Uzzi
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