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Molecular networks guide the biochemistry of a living cell on multiple levels: its metabolic and signalling pathways are shaped by the network of interacting proteins, whose production, in turn, is controlled by the genetic regulatory…

软凝聚态物质 · 物理学 2009-11-07 Sergei Maslov , Kim Sneppen

Networks such as organizational network of a global company play an important role in a variety of knowledge management and information diffusion tasks. The nodes in these networks correspond to individuals who are self-interested. The…

计算机科学与博弈论 · 计算机科学 2014-10-10 Swapnil Dhamal , Y. Narahari

We analyze the stability of the network's giant connected component under impact of adverse events, which we model through the link percolation. Specifically, we quantify the extent to which the largest connected component of a network…

Relations between users on social media sites often reflect a mixture of positive (friendly) and negative (antagonistic) interactions. In contrast to the bulk of research on social networks that has focused almost exclusively on positive…

物理与社会 · 物理学 2010-03-15 Jure Leskovec , Daniel Huttenlocher , Jon Kleinberg

The main problem we address in this paper is whether function determines form when a society of agents organizes itself for some purpose or whether the organizing method is more important than the functionality in determining the structure…

适应与自组织系统 · 物理学 2007-05-23 Tanya Araujo , R. Vilela Mendes

We study an influence network of voters subjected to correlated disordered external perturbations, and solve the dynamical equations exactly for fully connected networks. The model has a critical phase transition between disordered unimodal…

物理与社会 · 物理学 2018-09-26 Marlon Ramos , Marcus A. M. de Aguiar , Dan Braha

The existence of inter-dependence between multiple networks imparts an additional scale of complexity to such systems often referred to as `network of networks' (NON). We have investigated the robustness of NONs to random breakdown of their…

物理与社会 · 物理学 2019-01-09 Aradhana Singh , Sitabhra Sinha

Recent studies uncovered important core/periphery network structures characterizing complex sets of cooperative and competitive interactions between network nodes, be they proteins, cells, species or humans. Better characterization of the…

物理与社会 · 物理学 2013-12-03 Peter Csermely , Andras London , Ling-Yun Wu , Brian Uzzi

A financial system contains many elements networked by their relationships. Extensive works show that topological structure of the network stores rich information on evolutionary behaviors of the system such as early warning signals of…

统计金融 · 定量金融 2018-05-09 Li Zhou , Lu Qiu , Changgui Gu , Huijie Yang

To enhance robustness of complex networked systems, a simple method is introducing reinforced nodes which always function during failure propagation. A random scheme of node reinforcement can be considered as a benchmark for finding an…

物理与社会 · 物理学 2023-06-27 Rui Ma , Yanqing Hu , Jin-Hua Zhao

We show that subsets of interacting oscillators may synchronize in different ways within a single network. This diversity of synchronization patterns is promoted by increasing the heterogeneous distribution of coupling weights and/or…

斑图形成与孤子 · 物理学 2017-04-05 Daniel Malagarriga , Alessandro E. P. Villa , Jordi García-Ojalvo , Antonio J. Pons

In this paper, structural controllability of a leader-follower multi-agent system with multiple leaders is studied from a graph-theoretic point of view. The problem of preservation of structural controllability under simultaneous failures…

系统与控制 · 计算机科学 2016-12-01 M. Amin Rahimian , Amir G. Aghdam

We investigate structural transitions in adaptive networks where node states remain fixed and only the connections evolve via state-dependent rewiring. Using a general framework characterized by probabilistic rules for disconnection and…

物理与社会 · 物理学 2026-01-23 R. Cárdenas-Sabando , M. G. Cosenza , J. C. González-Avella

Many-body systems when continuous phase transition occurs are mainly built in the interrelationship between particles, implemented through many-body correlations. Some of them may exhibit so-called topological order hardly measured by…

统计力学 · 物理学 2015-06-17 Chung-Pin Chou , Yi-Hua Wang , Ming-Chiang Chung

Complex networks have recently attracted much interest due to their prevalence in nature and our daily lives [1, 2]. A critical property of a network is its resilience to random breakdown and failure [3-6], typically studied as a…

物理与社会 · 物理学 2016-01-08 James P. Bagrow , Sune Lehmann , Yong-Yeol Ahn

Ecosystems are formed by networks of species and their interactions. Traditional models of such interactions assume a constant interaction strength between a given pair of species. However, there is often significant trait variation among…

种群与进化 · 定量生物学 2022-05-03 Zachary Jackson , BingKan Xue

We study the temporal co-variation of network co-evolution via the cross-link structure of networks, for which we take advantage of the formalism of hypergraphs to map cross-link structures back to network nodes. We investigate two sets of…

无序系统与神经网络 · 物理学 2015-06-16 Danielle S. Bassett , Nicholas F. Wymbs , Mason A. Porter , Peter J. Mucha , Scott T. Grafton

We study the effects of animal social networks with a weighted pattern of interactions on the flocking transition exhibited by models of self-organized collective motion. Considering a model representing dynamics on a one-dimensional…

物理与社会 · 物理学 2022-10-19 Jaume Ojer , Romualdo Pastor-Satorras

We investigate the collective dynamics of bi-stable elements connected in different network topologies, ranging from rings and small-world networks, to scale-free networks and stars. We estimate the dynamical robustness of such networks by…

混沌动力学 · 物理学 2018-08-22 Pranay Deep Rungta , Chandrakala Meena , Sudeshna Sinha

Although recent studies show that both topological structures and human dynamics can strongly affect information spreading on social networks, the complicated interplay of the two significant factors has not yet been clearly described. In…

物理与社会 · 物理学 2012-03-07 Xiao-Ke Xu , Jian-Bo Wang , Ye Wu , Michael Small