首页|Uncovering hidden nodes and hidden links in complex dynamic networks

Uncovering hidden nodes and hidden links in complex dynamic networks

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Inferring network structures from available data has attracted much interest in network science;however,in many realistic net-works,only some of the nodes are perceptible while others are hidden,making it a challenging task.In this work,we develop a method for reconstructing the network with hidden nodes and links,taking account of fast-varying noise and time-delay inter-actions.By calculating the correlations of available data with different derivative orders for multiple pairs of accessible nodes,analyzing and integrating the relationships between different correlations,and defining diverse hidden-node-related reconstruction motifs,we can effectively identify the hidden nodes and hidden links in the network.

networks and genealogical treesstochastic analysis methodstime series analysis

Zhaoyang Zhang、Xinyu Wang、Haihong Li、Yang Chen、Zhilin Qu、Yuanyuan Mi、Gang Hu

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Department of Physics,School of Physical Science and Technology,Ningbo University,Ningbo 315211,China

School of Science,Beijing University of Posts and Telecommunications,Beijing 100876,China

Department of Medicine,David Geffen School of Medicine,University of California,Los Angeles 90095,USA

Brainnetome Center and National Laboratory of Pattern Recognition,Institute of Automation,Chinese Academy of Sciences,Beijing 100190,China

Department of Psychology,Tsinghua University,Beijing 100084,China

Department of Physics,Beijing Normal University,Beijing 100875,China

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国家自然科学基金国家自然科学基金国家自然科学基金国家自然科学基金浙江省自然科学基金K.C.Wong Magna Fund at Ningbo University国家自然科学基金National Science and Technology Innovation Major Program(2030)National Science and Technology Innovation Major Program(2030)中央高校基本科研业务费专项美国国立卫生研究院项目美国国立卫生研究院项目美国国立卫生研究院项目美国国立卫生研究院项目国家自然科学基金CAS Project for Young Scientists in Basic Research

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2024

10.1007/s11433-023-2303-7

中国科学:物理学 力学 天文学(英文版)
中国科学院

中国科学:物理学 力学 天文学(英文版)

CSTPCD
影响因子：0.91
ISSN：1674-7348
年,卷(期)：2024.67(4)
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