Recovering Network Structures With Time-Varying Nodal Parameters

doi:10.1109/TSMC.2018.2822780

CSpace

	Recovering Network Structures With Time-Varying Nodal Parameters
	Wang, Xiong 1,2; Lu, Jinhu 3,4; Wu, Xiaoqun 5
	2020-07-01
发表期刊	IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS
ISSN	2168-2216
卷号	50 期号:7 页码:2588-2598
摘要	Complex networks with time-varying nodal parameters are of considerable interest and significance in many areas of science and engineering. Reconstructing networks with unknown but continuously bounded time-varying nodal parameters from limited measured information is desirable and of significant interest for using and controlling these networks. Based on the Lasso method and the Taylor expansion approximation, we develop an efficient and feasible, completely data-driven approach to predicting the structures of networks with unknown but continuously bounded time-varying nodal parameters in the presence or absence of noise. In particular, the reconstruction framework is implemented on several different kinds of artificial, two-layer and real complex networks composed of various parameter-varying nodal dynamics. Through numerical simulations, we demonstrate that, networks structures can be fully reconstructed with limited available information and presence or absence of noise, though systemic parameters are continuously time-varying. In addition, our method is also applicable to structure identification of multilayer networks as well as networks with constant nodal parameters. We expect our method to be useful in addressing issues of significantly current concern in the information era, natural networks, and large-scale multilayer networks.
关键词	Complex networks Time-varying systems Taylor series Power system dynamics Vehicle dynamics Topology Complex network Lasso method network reconstruction time-varying nodal parameter
DOI	10.1109/TSMC.2018.2822780
收录类别	SCI
语种	英语
资助项目	National Key Research and Development Program of China[2016YFB0800401] ; National Natural Science Foundation of China[61621003] ; National Natural Science Foundation of China[61532020] ; National Natural Science Foundation of China[11472290] ; National Natural Science Foundation of China[61472027] ; National Natural Science Foundation of China[61573262]
WOS研究方向	Automation & Control Systems ; Computer Science
WOS类目	Automation & Control Systems ; Computer Science, Cybernetics
WOS记录号	WOS:000544033400025
出版者	IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
引用统计
文献类型	期刊论文
条目标识符	http://ir.amss.ac.cn/handle/2S8OKBNM/51730
专题	中国科学院数学与系统科学研究院
通讯作者	Lu, Jinhu
作者单位	1.Chinese Acad Sci, Acad Math & Syst Sci, LSC, Beijing 100190, Peoples R China 2.Univ Chinese Acad Sci, Sch Math Sci, Beijing 100049, Peoples R China 3.Beihang Univ, Sch Automat Sci & Elect Engn, State Key Lab Software Dev Environm, Beijing Adv Innovat Ctr Big Data & Brain Comp, Beijing 100191, Peoples R China 4.Chinese Acad Sci, Acad Math & Syst Sci, Beijing 100190, Peoples R China 5.Wuhan Univ, Sch Math & Stat, Wuhan 430072, Peoples R China
推荐引用方式 GB/T 7714	Wang, Xiong,Lu, Jinhu,Wu, Xiaoqun. Recovering Network Structures With Time-Varying Nodal Parameters[J]. IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS,2020,50(7):2588-2598.
APA	Wang, Xiong,Lu, Jinhu,&Wu, Xiaoqun.(2020).Recovering Network Structures With Time-Varying Nodal Parameters.IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS,50(7),2588-2598.
MLA	Wang, Xiong,et al."Recovering Network Structures With Time-Varying Nodal Parameters".IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS 50.7(2020):2588-2598.