Alfiya Abinova

Abstract Temporal networks capture systems whose interactions occur as time-stamped events, where resilience depends on whether time-respecting connectivity can be maintained under disruptions. Existing assessments often rely on static aggregation or path-centric indicators, which may overlook higher-order redundancy that emerges and dissolves over time. We propose a persistence-aware, cycle-driven framework that treats recurrent temporal cycles as resilience-relevant building blocks.