Robustness analysis and simulation of knowledge networks based on knowledge flows

In this paper, we develop an analyzing and evaluating robustness model of knowledge networks to capture the nature of robustness in the knowledge networks. We adopt 5 types of removing strategies based on knowledge flows to compare the robustness of knowledge networks, then analyze the robustness of knowledge networks under global and local information conditions. Simulation method was used to get the result of robustness of knowledge networks based on different removing strategies, different information conditions, and different degree of knowledge networks.