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A growing body of evidence suggests that the structure of mitochondrial networks is poised near criticality, an intermediate regime lying in between order and disorder. Such description fits well with the idea that biological systems, in…

生物物理 · 物理学 2020-11-02 Nahuel Zamponi , Emiliano Zamponi , Sergio A Cannas , Dante R Chialvo

We study dynamics and scaling exponents in a nonlinear network model inspired by the formation of planetary systems. Dynamics of this model leads to phase separation to two types of condensate, light and heavy, distinguished by how they…

统计力学 · 物理学 2013-05-29 Aleksandar Bogojevic , Antun Balaz , Aleksandar Belic

Topological dynamics of cellular automata (CA), inherited from classical dynamical systems theory, has been essentially studied in dimension 1. This paper focuses on higher dimensional CA and aims at showing that the situation is different…

离散数学 · 计算机科学 2009-09-03 Mathieu Sablik , Guillaume Theyssier

We present a statistical mechanics approach for the description of complex networks. We first define an energy and an entropy associated to a degree distribution which have a geometrical interpretation. Next we evaluate the distribution…

无序系统与神经网络 · 物理学 2009-11-13 Ginestra Bianconi

Complex dynamical systems are often modeled as networks, with nodes representing dynamical units which interact through the network's links. Gene regulatory networks, responsible for the production of proteins inside a cell, are an example…

统计力学 · 物理学 2009-09-30 Zoran Levnajić

A large number of complex networks, both natural and artificial, share the presence of highly heterogeneous, scale-free degree distributions. A few mechanisms for the emergence of such patterns have been suggested, optimization not being…

统计力学 · 物理学 2009-11-07 S. Valverde , R. Ferrer i Cancho , R. V. Sole

We numerically study the dynamics of elementary 1D cellular automata (CA), where the binary state $\sigma_i(t) \in \{0,1\}$ of a cell $i$ does not only depend on the states in its local neighborhood at time $t-1$, but also on the memory of…

统计力学 · 物理学 2007-05-23 Thimo Rohlf , Constantino Tsallis

An abstract network approach is proposed for the description of the dynamics in reactive processes. The phase space of the variables (concentrations in reactive systems) is partitioned into a finite number of segments, which constitute the…

统计力学 · 物理学 2015-06-17 A. Provata , E. Panagakou

We investigate the role of connection density in an adaptive network model of chaotic units that dynamically rewire based on their internal states and local coherence. By systematically varying the network's connectivity density, we uncover…

适应与自组织系统 · 物理学 2025-08-19 Ramiro Plüss , Pablo Martín Gleiser

In this paper, we present a simple model of scale-free networks that incorporates both preferential & random attachment and anti-preferential & random deletion at each time step. We derive the degree distribution analytically and show that…

数据分析、统计与概率 · 物理学 2007-05-23 Dinghua Shi , Xiang Zhu , Liming Liu

We present simulation results for the contact process on regular, cubic networks that are composed of a one-dimensional lattice and a set of long edges with unbounded length. Networks with different sets of long edges are considered, that…

统计力学 · 物理学 2015-05-13 R. Juhász , G. Ódor

We study a simple model of dynamic networks, characterized by a set preferred degree, $\kappa$. Each node with degree $k$ attempts to maintain its $\kappa$ and will add (cut) a link with probability $w(k;\kappa)$ ($1-w(k;\kappa)$). As a…

物理与社会 · 物理学 2013-07-29 Wenjia Liu , Shivakumar Jolad , Beate Schmittmann , R. K. P. Zia

A small-world cellular automaton network has been formulated to simulate the long-range interactions of complex networks using unconventional computing methods in this paper. Conventional cellular automata use local updating rules. The new…

元胞自动机与格子气 · 物理学 2010-03-26 Xin-She Yang , Young Z. L. Yang

Properties of networks are often characterized in terms of features such as node degree distributions, average path lengths, diameters, or clustering coefficients. Here, we study shortest path length distributions. On the one hand, average…

社会与信息网络 · 计算机科学 2015-01-20 Christian Bauckhage , Kristian Kersting , Fabian Hadiji

The influence of networks topology on collective properties of dynamical systems defined upon it is studied in the thermodynamic limit. A network model construction scheme is proposed where the number of links, the average eccentricity and…

物理与社会 · 物理学 2015-05-25 Sarah De Nigris , Xavier Leoncini

Network equilibrium models represent a versatile tool for the analysis of interconnected objects and their relationships. They have been widely employed in both science and engineering to study the behavior of complex systems under various…

适应与自组织系统 · 物理学 2024-10-31 Omar Aloui , David Orden , Nizar Bel Hadj Ali , Landolf Rhode-Barbarigos

Phase separation within polymer networks plays a central role in shaping the structure and mechanics of both synthetic materials and living cells, including the formation of biomolecular condensates within cytoskeletal networks. Previous…

软凝聚态物质 · 物理学 2025-12-01 Takahiro Yokoyama , Yicheng Qiang , David Zwicker , Arash Nikoubashman

This paper develops a framework for analyzing and designing dynamic networks comprising different classes of nodes that coexist and interact in one shared environment. We consider {\em ad hoc} (i.e., nodes can leave the network unannounced,…

无序系统与神经网络 · 物理学 2013-05-29 Nima Sarshar , Vwani Roychowdhury

Most complex networks serve as conduits for various dynamical processes, ranging from mass transfer by chemical reactions in the cell to packet transfer on the Internet. We collected data on the time dependent activity of five natural and…

无序系统与神经网络 · 物理学 2009-11-10 M. Argollo de Menezes , A-L. Barabasi

We revisit the cosmological evolution of domain wall networks, taking advantage of recent improvements in computing power. We carry out high-resolution field theory simulations in two, three and four spatial dimensions to study the effects…

高能物理 - 唯象学 · 物理学 2015-05-30 A. M. M. Leite , C. J. A. P. Martins