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Exploring node interaction relationship in complex networks by using high-frequency signal injection
Wang, Xinyu1; Zhang, Zhaoyang2; Li, Haihong1; Chen, Yang3,4; Mi, Yuanyuan5,6; Hu, Gang7
Source PublicationPHYSICAL REVIEW E
ISSN2470-0045
2021-02-23
Volume103Issue:2Pages:16
Corresponding AuthorMi, Yuanyuan(miyuanyuan0102@cqu.edu.cn)
AbstractMany practical systems can be described by complex networks. These networks produce, day and night, rich data which can be used to extract information from the systems. Often, output data of some nodes in the networks can be successfully measured and collected while the structures of networks producing these data are unknown. Thus, revealing network structures by analyzing available data, referred to as network reconstruction, turns to be an important task in many realistic problems. Limitation of measurable data is a very common challenge in network reconstruction. Here we consider an extreme case, i.e., we can only measure and process the data of a pair of nodes in a large network, and the task is to explore the relationship between these two nodes while all other nodes in the network are hidden. A driving-response approach is proposed to do so. By loading a high-frequency signal to a node (defined as node A), we can measure data of the partner node (node B), and work out the connection structure, such as the distance from node A to node B and the effective intensity of interaction from A to B, with the data of node B only. A systematical smoothing technique is suggested for treating noise problem. The approach has practical significance.
DOI10.1103/PhysRevE.103.022317
Indexed BySCI
Language英语
Funding ProjectNational Natural Science Foundation of China[11835003] ; National Natural Science Foundation of China[11805021] ; National Natural Science Foundation of China[31771146] ; National Natural Science Foundation of China[11734004] ; National Natural Science Foundation of China[11975131] ; Natural Science Foundation of Ningbo[2017A610142] ; Natural Science Foundation of Ningbo[2019C50001] ; Beijing Nova Program[Z181100006218118] ; Guangdong Province[2018B030338001] ; Fundamental Research Funds for the Central Universities[2020CDJQY-A073]
Funding OrganizationNational Natural Science Foundation of China ; Natural Science Foundation of Ningbo ; Beijing Nova Program ; Guangdong Province ; Fundamental Research Funds for the Central Universities
WOS Research AreaPhysics
WOS SubjectPhysics, Fluids & Plasmas ; Physics, Mathematical
WOS IDWOS:000620774600002
PublisherAMER PHYSICAL SOC
Citation statistics
Document Type期刊论文
Identifierhttp://ir.ia.ac.cn/handle/173211/43364
Collection模式识别国家重点实验室
Corresponding AuthorMi, Yuanyuan
Affiliation1.Beijing Univ Posts & Telecommun, Sch Sci, Beijing 100876, Peoples R China
2.Ningbo Univ, Sch Phys Sci & Technol, Dept Phys, Ningbo 315211, Zhejiang, Peoples R China
3.Chinese Acad Sci, Inst Automat, Brainnetome Ctr, Beijing 100190, Peoples R China
4.Chinese Acad Sci, Inst Automat, Natl Lab Pattern Recognit, Beijing 100190, Peoples R China
5.Chongqing Univ, Ctr Neurointelligence, Sch Med, Chongqing 400044, Peoples R China
6.Peng Cheng Lab, AI Res Ctr, Shenzhen 518005, Peoples R China
7.Beijing Normal Univ, Dept Phys, Beijing 100875, Peoples R China
Recommended Citation
GB/T 7714
Wang, Xinyu,Zhang, Zhaoyang,Li, Haihong,et al. Exploring node interaction relationship in complex networks by using high-frequency signal injection[J]. PHYSICAL REVIEW E,2021,103(2):16.
APA Wang, Xinyu,Zhang, Zhaoyang,Li, Haihong,Chen, Yang,Mi, Yuanyuan,&Hu, Gang.(2021).Exploring node interaction relationship in complex networks by using high-frequency signal injection.PHYSICAL REVIEW E,103(2),16.
MLA Wang, Xinyu,et al."Exploring node interaction relationship in complex networks by using high-frequency signal injection".PHYSICAL REVIEW E 103.2(2021):16.
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