This paper examines how interconnected networks can fail catastrophically or remain stable. The author finds that if interconnections are provided by network hubs and the connections between networks are moderately convergent, the system of networks is stable and robust to failure. Two experiments on functional brain networks show that the brain's network topology maximizes stability, as the theory predicts interconnected networks will be stable if the connections are through hubs and moderately convergent.