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.