| Literature DB >> 29347240 |
Yu-Xiao Zhu1,2,3, Wei Wang3,4, Ming Tang3,4,5, Yong-Yeol Ahn6.
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.Mesh:
Year: 2017 PMID: 29347240 DOI: 10.1103/PhysRevE.96.012306
Source DB: PubMed Journal: Phys Rev E ISSN: 2470-0045 Impact factor: 2.529