Reconstructing distant interactions of multiple paths between perceptible nodes in dark networks

	Reconstructing distant interactions of multiple paths between perceptible nodes in dark networks
	X. Wang; Y. Mi; Z. Zhang; Chen Y(陈阳); G. Hu; H. Li
发表期刊	Phys. Rev. E.
	2022
页码	014302
文章类型	研究文章
摘要	Quantitative research of interdisciplinary fields, including biological and social systems, has attracted great attention in recent years. Complex networks are popular and important tools for the investigations. Explosively increasing data are created by practical networks, from which useful information about dynamic networks can be extracted. From data to network structure, i.e., network reconstruction, is a crucial task. There are many difficulties in fulfilling network reconstruction, including data shortage (existence of hidden nodes) and time delay for signal propagation between adjacent nodes. In this paper a deep network reconstruction method is proposed, which can work in the conditions that even only two nodes (say A and B) are perceptible and all other network nodes are hidden. With a well-designed stochastic driving on node A, this method can reconstruct multiple interaction paths from A to B based on measured data. The distance, effective intensity, and transmission time delay of each path can be inferred accurately.
收录类别	SCI
语种	英语
是否为代表性论文	否
七大方向——子方向分类	脑网络分析
国重实验室规划方向分类	认知机理与类脑学习
是否有论文关联数据集需要存交	否
文献类型	期刊论文
条目标识符	http://ir.ia.ac.cn/handle/173211/51603
专题	脑图谱与类脑智能实验室_脑网络组研究脑图谱与类脑智能实验室
推荐引用方式 GB/T 7714	X. Wang,Y. Mi,Z. Zhang,et al. Reconstructing distant interactions of multiple paths between perceptible nodes in dark networks[J]. Phys. Rev. E.,2022:014302.
APA	X. Wang,Y. Mi,Z. Zhang,Chen Y,G. Hu,&H. Li.(2022).Reconstructing distant interactions of multiple paths between perceptible nodes in dark networks.Phys. Rev. E.,014302.
MLA	X. Wang,et al."Reconstructing distant interactions of multiple paths between perceptible nodes in dark networks".Phys. Rev. E. (2022):014302.

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2022_Wang et al.pdf（1271KB）	期刊论文	作者接受稿	开放获取	CC BY-NC-SA	浏览