Managing risk in supply chains is an important topic in supply chain management. This paper proposes a risk propagation model (SIS-RP), based on the susceptible-infected-susceptible (SIS) model, in supply chain risk management (SCRM). Considering the small world network as an illustration, we
use simulation analysis method to analyze this model from the supply chain network perspective. The results indicate that, the risk propagation can be controlled by improving the anti-interference ability in supply chain network. The SIS-RP model can reflect evolution process of risk in supply chain network to a certain extent, and demonstrate the feasibility of complex network theory in the supply chain risk propagation study.