Topology Prediction and Structural Controllability Analysis of Complex Networks Without Connection Information

doi:10.1109/TSMC.2021.3131490

CASIA OpenIR > 多模态人工智能系统全国重点实验室 > 复杂系统智能机理与平行控制团队

	Topology Prediction and Structural Controllability Analysis of Complex Networks Without Connection Information
	Yang, Dongsheng 1; Sun, Yunhe 1; Wei, Qinglai2,3 ; Zhang, Huaguang 1; Li, Ting 4
发表期刊	IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS
ISSN	2168-2216
	2021-12-08
页码	13
通讯作者	Sun, Yunhe(sunyunhede@163.com)
摘要	In this article, we consider complex networks without connection information. The absence of global structure induces a great obstacle in the structural controllability analysis of these networks. Thus, a topology predicting method based on the connection probability matrix is proposed to provide a global structure for structural controllability analysis in this article. Furthermore, the modified principles of predicting global network topologies are established to acquire a more accurate global connection relationship. Eventually, the drive node set of these networks is determined by predicting global topologies. The accuracy of the proposed topology predicting method is verified by numerical simulations in the context of artificial networks and real networks. The results reveal that the global topology and structural controllability of complex networks with large scale and high edge density could be accurately predicted by utilizing the proposed method.
关键词	Controllability Topology Complex networks Sun Pattern matching Couplings Web sites Complex networks structural controllability topology prediction
DOI	10.1109/TSMC.2021.3131490
关键词[WOS]	CRITICAL NODES IDENTIFICATION ; DESIGN ; LINKS
收录类别	SCI
语种	英语
资助项目	National Natural Science Foundation of China[61433004] ; National Natural Science Foundation of China[61722312] ; Fundamental Research Funds for the Central Universities[N160402003] ; State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources[LAPS17013]
项目资助者	National Natural Science Foundation of China ; Fundamental Research Funds for the Central Universities ; State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources
WOS研究方向	Automation & Control Systems ; Computer Science
WOS类目	Automation & Control Systems ; Computer Science, Cybernetics
WOS记录号	WOS:000732894700001
出版者	IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
引用统计	被引频次：7[WOS] [WOS记录] [WOS相关记录]
文献类型	期刊论文
条目标识符	http://ir.ia.ac.cn/handle/173211/47017
专题	多模态人工智能系统全国重点实验室_复杂系统智能机理与平行控制团队
通讯作者	Sun, Yunhe
作者单位	1.Northeastern Univ, Coll Informat Sci & Engn, Shenyang 110819, Peoples R China 2.Chinese Acad Sci, Inst Automat, Beijing 100190, Peoples R China 3.Chinese Acad Sci, State Key Lab Management & Control Complex Syst, Beijing 100190, Peoples R China 4.Beijing Inst Graph Commun, Coll Mech & Elect Engn, Beijing 102600, Peoples R China
推荐引用方式 GB/T 7714	Yang, Dongsheng,Sun, Yunhe,Wei, Qinglai,et al. Topology Prediction and Structural Controllability Analysis of Complex Networks Without Connection Information[J]. IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS,2021:13.
APA	Yang, Dongsheng,Sun, Yunhe,Wei, Qinglai,Zhang, Huaguang,&Li, Ting.(2021).Topology Prediction and Structural Controllability Analysis of Complex Networks Without Connection Information.IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS,13.
MLA	Yang, Dongsheng,et al."Topology Prediction and Structural Controllability Analysis of Complex Networks Without Connection Information".IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS (2021):13.