In: Chaos: An Interdisciplinary Journal of Nonlinear Science, 2016, vol. 26, no. 6, p. 63108
Accurate identification of effective epidemic threshold is essential for understanding epidemic dynamics on complex networks. In this paper, we systematically study how the recovery rate affects the susceptible-infected-removed spreading dynamics on complex networks, where synchronous and asynchronous updating processes are taken into account. We derive the theoretical effective epidemic...
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In: Chaos: An Interdisciplinary Journal of Nonlinear Science, 2015, vol. 25, no. 10, p. 103102
Individuals are always limited by some inelastic resources, such as time and energy, which restrict them to dedicate to social interaction and limit their contact capacities. Contact capacity plays an important role in dynamics of social contagions, which so far has eluded theoretical analysis. In this paper, we first propose a non-Markovian model to understand the effects of contact capacity on...
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