Synchronization in multiplex networks

物理 多路复用 复杂网络 同步(交流) 分布式计算 集合(抽象数据类型) 拓扑(电路) 动力系统理论 计算机网络 数学 生物信息学 计算机科学 生物 频道(广播) 组合数学 量子力学 万维网 程序设计语言
作者
Xiaoqun Wu,Xiuqi Wu,Chong-Yang Wang,Bing Mao,Jun-an Lu,Jinhu Lü,Yicheng Zhang,Linyuan Lü
出处
期刊:Physics Reports [Elsevier BV]
卷期号:1060: 1-54 被引量:58
标识
DOI:10.1016/j.physrep.2024.01.005
摘要

Synchronization in a network of connected elements is essential to the proper functioning of both natural and engineered systems and is thus of increasing interest across disciplines. In many cases, synchronization phenomena involve not just actions within a single network in isolation, but the coordinated and coherent behaviors of several networks interacting with each other. The interactions between multiple systems play a crucial role in determining the emergent dynamics. One paradigm capable of representing real-world complex systems is that of multiplex networks, where the same set of nodes exists in multiple layers of the network. Recent studies have made significant progress in understanding synchronization in multiplex networks. In this review, we primarily focus on two key aspects: structural complexity and dynamical complexity. From the perspective of structural complexity, we present how the topological setting, such as the interlayer coupling pattern, affects the synchronizability of a multiplex network. The structural characteristics of a multiplex network, in particular, give rise to dynamical complexity, including the emergence of intralayer synchronization (within each layer) and interlayer synchronization (between layers). We also discuss the major methods for studying the stability of complete, intralayer, and interlayer synchronization, as well as synchronization control in multiplex networks. Additionally, we briefly introduce some relevant applications. Lastly, the review provides a comprehensive summary of the notable findings in the study of synchronization in multiplex networks, emphasizing the interplay between their structural and dynamical complexities, and identifies open problems that present opportunities for future research in this field.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
王走走完成签到,获得积分10
1秒前
1秒前
矛盾空间发布了新的文献求助30
1秒前
2秒前
带刺的芒果完成签到 ,获得积分10
2秒前
ldk完成签到,获得积分0
3秒前
泉er发布了新的文献求助10
3秒前
WilliamTT完成签到,获得积分10
4秒前
4秒前
xzhwd完成签到,获得积分10
4秒前
hehexuexi1发布了新的文献求助30
4秒前
4秒前
5秒前
生活发布了新的文献求助10
5秒前
邓_莲发布了新的文献求助10
7秒前
英俊的铭应助yrheong采纳,获得10
7秒前
xzhwd发布了新的文献求助10
7秒前
8秒前
cheetah发布了新的文献求助10
8秒前
自然的凝冬完成签到,获得积分10
8秒前
9秒前
清秀芝麻完成签到 ,获得积分10
10秒前
小潘完成签到 ,获得积分10
10秒前
10秒前
完美世界应助蓝天采纳,获得10
10秒前
科目三应助Derive采纳,获得10
11秒前
yue435完成签到,获得积分20
12秒前
爆米花应助高小姐采纳,获得10
14秒前
永不凋谢的树叶完成签到,获得积分10
14秒前
852应助晴qq采纳,获得10
16秒前
生活完成签到 ,获得积分10
16秒前
16秒前
yue435发布了新的文献求助10
19秒前
22秒前
22秒前
研友_LwbGg8发布了新的文献求助10
23秒前
自信的涵菡完成签到,获得积分10
23秒前
yrheong完成签到,获得积分10
24秒前
五六七完成签到 ,获得积分10
26秒前
LONG发布了新的文献求助10
26秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Geist der Kunst und Kultur 1000
Resistance Spot Welding Dataset for Automobile Body-in-White Quality Analysis 748
日本現代怪異事典 副読本 700
悉尼大学博士学位论文,题目:Modelling and testing of one-sided stitched laminated composites. 作者:Kristopher P. Plain 650
Machine Learning for Asset Management and Pricing 600
Numerical analysis of the coupled atmosphere-ocean models (CAO II). II 600
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 内科学 物理 复合材料 催化作用 细胞生物学 无机化学 光电子学 物理化学 电极 基因
热门帖子
关注 科研通微信公众号,转发送积分 7394959
求助须知:如何正确求助?哪些是违规求助? 9001094
关于积分的说明 19157753
捐赠科研通 7030920
什么是DOI,文献DOI怎么找? 3229775
关于科研通互助平台的介绍 2392269
邀请新用户注册赠送积分活动 2211345