Reconstruction of dynamic networks with time-delayed interactions in the presence of fast-varying noises
文献类型：期刊论文
| 作者 | Zhang, Zhaoyang1,2; Chen, Yang3,4 ; Mi, Yuanyuan5; Hu, Gang6
|
| 刊名 | PHYSICAL REVIEW E
 |
| 出版日期 | 2019-04-30 |
| 卷号 | 99期号:4页码:8 |
| ISSN号 | 2470-0045 |
| DOI | 10.1103/PhysRevE.99.042311 |
| 通讯作者 | Zhang, Zhaoyang(zhangchaoyang@nbu.edu.cn) |
| 英文摘要 | Most 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. |
| WOS关键词 | COMPLEX NETWORKS |
| 资助项目 | National 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 |
| WOS研究方向 | Physics |
| 语种 | 英语 |
| WOS记录号 | WOS:000466433800006 |
| 出版者 | AMER PHYSICAL SOC |
| 资助机构 | National 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 |
| 源URL | [http://ir.ia.ac.cn/handle/173211/24904]  |
| 专题 | 自动化研究所_脑网络组研究中心 |
| 通讯作者 | Zhang, Zhaoyang |
| 作者单位 | 1.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 |
| 推荐引用方式 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. |
入库方式： OAI收割
来源：自动化研究所
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