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- W4313270269 abstract "The underlying structure determines the resilient strength of the network, while critical nodes mining is an important prerequisite and foundation for structural optimization. To improve the identification of critical nodes in temporal networks, a node importance assessment model combining temporal <tex xmlns:mml=http://www.w3.org/1998/Math/MathML xmlns:xlink=http://www.w3.org/1999/xlink>$k$</tex> -shell decomposition and gravity is proposed. Specifically, the local structural and global characteristics of nodes are inscribed using the temporal <tex xmlns:mml=http://www.w3.org/1998/Math/MathML xmlns:xlink=http://www.w3.org/1999/xlink>$k$</tex> -shell and the temporal distance respectively. The gravity model then linearly characterizes the joint impact of both on the importance of the nodes. Lastly, the node-level resilience assessment and analysis is achieved by global time efficiency. The experimental results all perform well on the selected real network public data sets, demonstrating the validity and superiority." @default.
- W4313270269 created "2023-01-06" @default.
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- W4313270269 date "2022-10-28" @default.
- W4313270269 modified "2023-09-27" @default.
- W4313270269 title "Node-level Resilience Analysis for Temporal Networks based on K-shell Gravity" @default.
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- W4313270269 doi "https://doi.org/10.1109/icus55513.2022.9986778" @default.
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