School of Management, Guangdong University of Technology, Guangzhou 510520, China.
School of Big Data and Strategy, Guangdong University of Technology, Guangzhou 510520, China.
Phys Rev E. 2017 Jul;96(1-1):012306. doi: 10.1103/PhysRevE.96.012306. Epub 2017 Jul 5.
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.
我们研究了加权网络上社交传播模型的关键行为。应用边权划分方法分析了具有倾斜度和权重分布的强异质网络上的加权社交传播。我们发现，度异质性不仅可以改变传播跃迁从不连续到连续的性质，而且还可以根据单位传输概率增强或阻碍采用的规模。我们还表明，权重分布的异质性总是阻碍社交传播，并且不会改变跃迁类型。
