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We explore chaos in the Kuramoto model with multimodal distributions of the natural frequencies of oscillators and provide a comprehensive description under what conditions chaos occurs. For a natural frequency distribution with $M$ peaks…

适应与自组织系统 · 物理学 2019-10-07 Lachlan D. Smith , Georg A. Gottwald

In this paper, we investigate the development of generalized synchronization (GS) on typical complex networks, such as scale-free networks, small-world networks, random networks and modular networks. By adopting the auxiliary-system…

混沌动力学 · 物理学 2009-11-13 Shuguang Guan , Xingang Wang , Xiaofeng Gong , Kun Li , C. -H. Lai

Synchronization is a fundamental phenomenon in complex systems, observed across a wide range of natural and engineered contexts. The Kuramoto model provides a foundational framework for understanding synchronization among coupled…

适应与自组织系统 · 物理学 2026-02-03 Riccardo Muolo , Hiroya Nakao , Marco Coraggio

We introduce a practical and computationally not demanding technique for inferring interactions at various microscopic levels between the units of a network from the measurements and the processing of macroscopic signals. Starting from a…

We study synchronization of Kuramoto oscillators in strongly modular networks in which the structure of the network inside each community is averaged. We find that the dynamics of the interacting communities can be described as an ensemble…

适应与自组织系统 · 物理学 2012-06-19 Per Sebastian Skardal , Juan G. Restrepo

The understanding of synchronization ranging from natural to social systems has driven the interests of scientists from different disciplines. Here, we have investigated the synchronization dynamics of the Kuramoto dynamics departing from…

无序系统与神经网络 · 物理学 2009-09-29 Jie Ren , Huijie Yang

The Kuramoto model exhibits different types of synchronization transitions depending on the type of natural frequency distribution. To obtain these results, the Kuramoto self-consistency equation (SCE) approach has been used successfully.…

统计力学 · 物理学 2020-05-27 Je Ung Song , Jaegon Um , Jinha Park , B. Kahng

We modify the Kuramoto model for synchronization on complex networks by introducing a gauge term that depends on the edge betweenness centrality (BC). The gauge term introduces additional phase difference between two vertices from 0 to…

无序系统与神经网络 · 物理学 2009-11-13 E. OH , C. Choi , B. Kahng , D. Kim

We study the impact of network heterogeneity on relaxation dynamics of the Kuramoto model on uncorrelated complex networks with scale-free degree distributions. Using the Ott-Antonsen method and the annealed-network approach, we find that…

无序系统与神经网络 · 物理学 2015-08-25 S. Yoon , M. Sorbaro Sindaci , A. V. Goltsev , J. F. F. Mendes

Can synchronization properties of a network of identical oscillators in the presence of noise be improved through appropriate rewiring of its connections? What are the optimal network architectures for a given total number of connections?…

适应与自组织系统 · 物理学 2013-05-30 Tatsuo Yanagita , Alexander S. Mikhailov

In the real world, many complex systems are represented not by single networks but rather by sets of interdependent ones. In these specific networks, nodes in one network mutually interact with nodes in other networks. This paper focuses on…

混沌动力学 · 物理学 2016-02-02 Xiang Wei , Xiaoqun Wu , Jun-an Lu , Junchan Zhao

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

The synchronization transition of correlated ensembles of coupled Kuramoto oscillators on sparse random networks is investigated. Extensive numerical simulations show that correlations between the native frequencies of adjacent oscillators…

统计力学 · 物理学 2010-06-16 Markus Brede

The heterogeneity among interacting dynamical systems or variations in the pattern of their interactions occur naturally in many real complex systems. Often they lead to partially synchronized states like chimeras or oscillation suppressed…

适应与自组织系统 · 物理学 2024-08-21 Aiwin T Vadakkan , Umesh Kumar Verma , G. Ambika

Degree correlation is an important topological property common to many real-world networks. In this paper, the statistical measures for characterizing the degree correlation in networks are investigated analytically. We give an exact proof…

物理与社会 · 物理学 2015-09-03 Ju Xiang , Ke Hu , Tao Hu , Yan Zhang , Jian-Ming Li

We present the mathematical analysis of generalized complex contagions in clustered multiplex networks for susceptible-infected-recovered (SIR)-like dynamics. The model is intended to understand diffusion of influence, or any other…

物理与社会 · 物理学 2017-02-01 Yong Zhuang , Alex Arenas , Osman Yağan

Interaction within an ensemble of coupled nonlinear oscillators induces a variety of collective behaviors. One of the most fascinating is a chimera state which manifests the coexistence of spatially distinct populations of coherent and…

适应与自组织系统 · 物理学 2020-08-18 Nikita Frolov , Vladimir Maksimenko , Soumen Majhi , Sarbendu Rakshit , Dibakar Ghosh , Alexander Hramov

Kuramoto oscillators have been proposed earlier as a model for interacting systems that exhibit synchronisation. In this article we study the difference between networks with symmetric and asymmetric distribution of natural frequencies. We…

适应与自组织系统 · 物理学 2014-12-22 Arindam Saha , R. E. Amritkar

We investigate the nucleation of Ising model on complex networks and focus on the role played by the heterogeneity of degree distribution on nucleation rate. Using Monte Carlo simulation combined with forward flux sampling, we find that for…

统计力学 · 物理学 2015-06-15 Hanshuang Chen , Shuxian Li , Gang He , Feng Huang , Chuansheng Shen , Zhonghuai Hou

Changes in the level of synchronization and desynchronization in coupled oscillator systems due to an external stimulus is called event related synchronization or desynchronization (ERS/ERD). Such changes occur in real life systems where…

适应与自组织系统 · 物理学 2015-05-30 Jane H. Sheeba , V. K. Chandrasekar , M. Lakshmanan