CASIA OpenIR
Reconstruction of dynamic networks with time-delayed interactions in the presence of fast-varying noises
Zhang, Zhaoyang1,2; Chen, Yang3,4; Mi, Yuanyuan5; Hu, Gang6
Source PublicationPHYSICAL REVIEW E
ISSN2470-0045
2019-04-30
Volume99Issue:4Pages:8
Corresponding AuthorZhang, Zhaoyang(zhangchaoyang@nbu.edu.cn)
AbstractMost complex social, biological and technological systems can be described by dynamic networks. Reconstructing network structures from measurable data is a fundamental problem in almost all interdisciplinary fields. Network nodes interact with each other and those interactions often have diversely distributed time delays. Accurate reconstruction of any targeted interaction to a node requires measured data of all its neighboring nodes together with information on the time delays of interactions from these neighbors. When networks are large, these data are often not available and time-delay factors are deeply hidden. Here we show that fast-varying noise can be of great help in solving these challenging problems. By computing suitable correlations, we can infer the intensity and time delay of any targeted interaction with the data of two related nodes (driving and driven nodes) only while all other nodes in the network are hidden. This method is analytically derived and fully justified by extensive numerical simulations.
DOI10.1103/PhysRevE.99.042311
WOS KeywordCOMPLEX NETWORKS
Indexed BySCI
Language英语
Funding ProjectNational Natural Science Foundation of China[11835003] ; National Natural Science Foundation of China[11605098] ; National Natural Science Foundation of China[31771146] ; National Natural Science Foundation of China[11734004] ; Natural Science Foundation of Ningbo[2017A610142] ; Beijing Municipal Science and Technology Commission[Z171100000117007] ; Beijing Nova Program[Z181100006218118] ; K.C. Wong Magna Fund at Ningbo University
Funding OrganizationNational Natural Science Foundation of China ; Natural Science Foundation of Ningbo ; Beijing Municipal Science and Technology Commission ; Beijing Nova Program ; K.C. Wong Magna Fund at Ningbo University
WOS Research AreaPhysics
WOS SubjectPhysics, Fluids & Plasmas ; Physics, Mathematical
WOS IDWOS:000466433800006
PublisherAMER PHYSICAL SOC
Citation statistics
Document Type期刊论文
Identifierhttp://ir.ia.ac.cn/handle/173211/24905
Collection中国科学院自动化研究所
Corresponding AuthorZhang, Zhaoyang
Affiliation1.Ningbo Univ, Sch Phys Sci & Technol, Dept Phys, Ningbo 315211, Zhejiang, Peoples R China
2.Ningbo Univ, Business Sch, 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, Chongqing 400044, Peoples R China
6.Beijing Normal Univ, Dept Phys, Beijing 100875, Peoples R China
Recommended Citation
GB/T 7714
Zhang, Zhaoyang,Chen, Yang,Mi, Yuanyuan,et al. Reconstruction of dynamic networks with time-delayed interactions in the presence of fast-varying noises[J]. PHYSICAL REVIEW E,2019,99(4):8.
APA Zhang, Zhaoyang,Chen, Yang,Mi, Yuanyuan,&Hu, Gang.(2019).Reconstruction of dynamic networks with time-delayed interactions in the presence of fast-varying noises.PHYSICAL REVIEW E,99(4),8.
MLA Zhang, Zhaoyang,et al."Reconstruction of dynamic networks with time-delayed interactions in the presence of fast-varying noises".PHYSICAL REVIEW E 99.4(2019):8.
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