4pm in the Niels Bohr, common room, physics.
Catastrophic cascade of failures in interdependent networks
Sergey V. Buldyrev1,2, Roni Parshani3, Gerald Paul2, H. Eugene Stanley2 & Shlomo Havlin3
Complex networks have been studied intensively for a decade, but research still focuses on the limited case of a single, non-interacting network1–14. Modern systems are coupled together15–19 and therefore should be modelled as interdependent networks. A fundamental property of interdependent networks is that failure of nodes in one network may lead to failure of dependent nodes in other networks. This may happen recursively and can lead to a cascade of failures. In fact, a failure of a very small fraction of nodes in one network may lead to the complete fragmentation of a system of several interdependent networks. A dramatic real-world example of a cascade of failures (‘concurrent malfunction’) is the electrical blackout that affected much of Italy on 28 September 2003: the shutdown of power stations directly led to the failure of nodes in the Internet communication network, which in turn caused further breakdown of power stations20. Here we develop a framework for understanding the robustness of interacting networks subject to such cascading failures. We present exact analytical solutions for the critical fraction of nodes that, on removal, will lead to a failure cascade and to a complete fragmentation of two interdependent networks. Surprisingly, a broader degree distribution increases the vulnerability of interdependent networks to random failure, which is opposite to how a single network behaves. Our findings highlight the need to consider interdependent network properties in designing robust networks.
Last call for abstracts (Arp 7): Beyond Schelling and Axelrod: Computational Models of Ethnocentrism and Diversity - #cfpm_org Any work with simulation models that touch on these issues, critiques of existing models or relevant empirical work welcome. Just email them to d...