Structure, Robustness and Intervention

Network structure shapes how failures spread, which interventions are effective, and when a system moves from local damage to large-scale disintegration. My work studies these relationships through network dismantling, robustness analysis, and models of shock propagation.

The methods combine network geometry, graph learning, local structural rules, and scalable computation. They include GDM, CoreGDM, edge dismantling, and early-warning signals of network disintegration, as well as studies of exposure and policy interventions in food and medical-goods trade networks.

The open-source Network Dismantling framework accompanies our review of the field; the original GDM implementation is available in the GDM repository.