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We propose that negative degree correlation among nodes in a network of nonlinear oscillators, often detected in real world networks, is motivated by its positive effects on synchronizability. In so doing, we use a novel methodology to…

无序系统与神经网络 · 物理学 2007-12-08 Mario di Bernardo , Franco Garofalo , Francesco Sorrentino

We study synchronization phenomena in scale-free networks of asymetrically coupled dynamical systems featuring degree-degree correlation in the connection wiring. We show that when the interaction is dominant from the high-degree to the…

无序系统与神经网络 · 物理学 2009-11-11 F. Sorrentino , M. di Bernardo , G. Huerta Cuellar , S. Boccaletti

By employing a recently introduced optimization algorithm we explicitely design optimally synchronizable (unweighted) networks for any given scale-free degree distribution. We explore how the optimization process affects degree-degree…

无序系统与神经网络 · 物理学 2009-11-13 Luca Donetti , Pablo I. Hurtado , Miguel A. Munoz

Heterogeneity in the degree (connectivity) distribution has been shown to suppress synchronization in networks of symmetrically coupled oscillators with uniform coupling strength (unweighted coupling). Here we uncover a condition for…

无序系统与神经网络 · 物理学 2007-05-23 Adilson E. Motter , Changsong Zhou , Juergen Kurths

By numerical simulations, we investigate the onset of synchronization of networked phase oscillators under two different weighting schemes. In scheme-I, the link weights are correlated to the product of the degrees of the connected nodes,…

混沌动力学 · 物理学 2011-06-30 Menghui Li , Xingang Wang , Ying Fan , Zengru Di , Choy-Heng Lai

The contradiction between the fact that many empirical networks possess power-law degree distribution and the finding that network of heterogeneous degree distribution is difficult to synchronize has been a paradox in the study of network…

混沌动力学 · 物理学 2007-05-23 Xingang Wang , Ying-Cheng Lai , Choy Heng Lai

Most real-world networks display not only a heterogeneous distribution of degrees, but also a heterogeneous distribution of weights in the strengths of the connections. Each of these heterogeneities alone has been shown to suppress…

无序系统与神经网络 · 物理学 2009-11-11 Adilson E. Motter , Changsong Zhou , Juergen Kurths

In this paper we study a model of synchronization process on scale free networks with degree-degree correlations. This model was already studied on this kind of networks without correlations by Pastore y Piontti {\it et al.}, Phys. Rev. E…

物理与社会 · 物理学 2012-02-15 Cristian E. La Rocca , Lidia A. Braunstein , Pablo A. Macri

We study optimal synchronization of networks of coupled phase oscillators. We extend previous theory for optimizing the synchronization properties of undirected networks to the important case of directed networks. We derive a generalized…

适应与自组织系统 · 物理学 2016-06-24 Per Sebastian Skardal , Dane Taylor , Jie Sun

Many complex networks display strong heterogeneity in the degree (connectivity) distribution. Heterogeneity in the degree distribution often reduces the average distance between nodes but, paradoxically, may suppress synchronization in…

无序系统与神经网络 · 物理学 2007-05-23 Adilson E. Motter , Changsong Zhou , Juergen Kurths

We study networks of noisy phase oscillators whose nodes are characterized by a random degree counting the number of its connections. Both these degrees and the natural frequencies of the oscillators are distributed according to a given…

混沌动力学 · 物理学 2012-05-15 Bernard Sonnenschein , Lutz Schimansky-Geier

In this paper, we investigate the factors that affect the synchronization of coupled oscillators on networks. By using the edge-intercrossing method, we keep the degree distribution unchanged to see other statistical properties' effects on…

无序系统与神经网络 · 物理学 2007-05-23 Bing Wang , Huanwen Tang , Tao Zhou , Zhilong Xiu

In this Letter we identify the general rules that determine the synchronization properties of interconnected networks. We study analytically, numerically and experimentally how the degree of the nodes through which two networks are…

物理与社会 · 物理学 2015-06-19 J. Aguirre , R. Sevilla-Escoboza , R. Gutiérrez , D. Papo , J. M. Buldú

Many natural systems are organized as networks, in which the nodes (be they cells, individuals or populations) interact in a time-dependent fashion. The dynamic behavior of these networks depends on how these nodes are connected, which can…

神经元与认知 · 定量生物学 2015-06-22 Anca Radulescu , Sergio Verduzco-Flores

The propensity for synchronization is studied in a complex network of asymmetrically coupled units, where the asymmetry in a given link is determined by the relative age of the involved nodes. In growing scale-free networks synchronization…

无序系统与神经网络 · 物理学 2007-05-23 Dong-Uk Hwang , Mario Chavez , Andreas Amann , Stefano Boccaletti

Scale-free networks, in which the distribution of the degrees obeys a power-law, are ubiquitous in the study of complex systems. One basic network property that relates to the structure of the links found is the degree assortativity, which…

物理与社会 · 物理学 2015-06-22 Oliver Williams , Charo I. Del Genio

We discuss the behavior of large ensembles of phase oscillators networking via scale-free topologies in the presence of a positive correlation between the oscillators' natural frequencies and network's degrees. In particular, we show that…

适应与自组织系统 · 物理学 2016-03-08 I. Sendiña-Nadal , I. Leyva , A. Navas , J. A. Villacorta-Atienza , J. A. Almendral , Z. Wang , S. Boccaletti

Synchronization is critical for system level behaviour in physical, chemical, biological and social systems. Empirical evidence has shown that the network topology strongly impacts the synchronizablity of the system, and the analysis of…

社会与信息网络 · 计算机科学 2021-11-24 Mengbang Zou , Weisi Guo

We consider the problem of maximizing the synchronizability of oscillator networks by assigning weights and directions to the links of a given interaction topology. We first extend the well-known master stability formalism to the case of…

无序系统与神经网络 · 物理学 2007-05-23 Takashi Nishikawa , Adilson E. Motter

Using a recently described technique for manipulating the clustering coefficient of a network without changing its degree distribution, we examine the effect of clustering on the synchronization of phase oscillators on networks with Poisson…

无序系统与神经网络 · 物理学 2009-11-11 Patrick N. McGraw , Michael Menzinger
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