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• W2944441475 abstract "This paper concerns collaborative monitoring of the robustness of networks partitioned into sub-networks. We consider the critical threshold of a network and the effective graph resistance (Kirchhoff index) of a sub-graph characterizing the interconnection of sub-networks, that are partitioned from the given network as robustness metric. In which, the critical threshold depends only on the two first moments of the degree distribution while the Kirchhoff index can be computed with Laplacian eigenvalues. Therefore, we show how to estimate jointly the Laplacian eigenvalues and the two first moments of the degree distribution in a distributed way." @default.
• W2944441475 created "2019-05-16" @default.
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• W2944441475 date "2019-07-01" @default.
• W2944441475 modified "2023-10-13" @default.
• W2944441475 title "Collaborative Network Monitoring by Means of Laplacian Spectrum Estimation and Average Consensus" @default.
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• W2944441475 doi "https://doi.org/10.1007/s12555-018-0638-0" @default.
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