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• W2336005335 abstract "We investigate critical behaviors of a social contagion model on weighted networks. An edge-weight compartmental approach is applied to analyze the weighted social contagion on strongly heterogenous networks with skewed degree and weight distributions. We find that degree heterogeneity cannot only alter the nature of contagion transition from discontinuous to continuous but also can enhance or hamper the size of adoption, depending on the unit transmission probability. We also show that the heterogeneity of weight distribution always hinders social contagions, and does not alter the transition type." @default.
• W2336005335 created "2016-06-24" @default.
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• W2336005335 date "2017-07-05" @default.
• W2336005335 modified "2023-10-15" @default.
• W2336005335 title "Social contagions on weighted networks" @default.
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• W2336005335 doi "https://doi.org/10.1103/physreve.96.012306" @default.
• W2336005335 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/29347240" @default.
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