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• W2033958672 abstract "The question of how clustering (nonzero density of triangles) in networks affects their bond percolation threshold has important applications in a variety of disciplines. Recent advances in modeling highly clustered networks are employed here to analytically study the bond percolation threshold. In comparison to the threshold in an unclustered network with the same degree distribution and correlation structure, the presence of triangles in these model networks is shown to lead to a larger bond percolation threshold (i.e. clustering increases the epidemic threshold or decreases resilience of the network to random edge deletion)." @default.
• W2033958672 created "2016-06-24" @default.
• W2033958672 creator A5005773968 @default.
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• W2033958672 date "2010-06-18" @default.
• W2033958672 modified "2023-09-26" @default.
• W2033958672 title "How clustering affects the bond percolation threshold in complex networks" @default.
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• W2033958672 doi "https://doi.org/10.1103/physreve.81.066114" @default.
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