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Article
Open AccessFinding influential nodes in complex networks based on Kullback–Leibler model within the neighborhood
As a research hot topic in the field of network security, the implementation of machine learning, such as federated learning, involves information interactions among a large number of distributed network devic...
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Article
Open AccessEnabling an Inorganic-Rich Interface via Cationic Surfactant for High-Performance Lithium Metal Batteries
Cetyltrimethylammonium cations can shield the repelling force on anions to attract more anions into electric double layer region during lithium plating process, facilitating th...
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Article
Open AccessStretchable and negative-Poisson-ratio porous metamaterials
Highly stretchable porous materials are promising for flexible electronics but their fabrication is a great challenge. Herein, several kinds of highly stretchable conductive porous elastomers with low or negat...
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Article
Solving linear Bayesian inverse problems using a fractional total variation-Gaussian (FTG) prior and transport map
The Bayesian inference is widely used in many scientific and engineering problems, especially in the linear inverse problems in infinite-dimensional setting where the unknowns are functions. In such problems, ...
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Article
Open AccessExploring influential nodes using global and local information
In complex networks, key nodes are important factors that directly affect network structure and functions. Therefore, accurate mining and identification of key nodes are crucial to achieving better control and...
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Article
Open AccessIdentification of nodes influence based on global structure model in complex networks
Identification of Influential nodes in complex networks is challenging due to the largely scaled data and network sizes, and frequently changing behaviors of the current topologies. Various application scenari...
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Article
ProfitLeader: identifying leaders in networks with profit capacity
Identifying ‘Leaders’ in a network is a significant step to optimize the use of available resources, accelerate or hinder spreading information. In this paper, we propose a new measure to characterize the impo...
