Author

Xianghe Zhu

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Preprint Aug 2026

Anomaly detection in autoregressive networks

Simulations and applications to an international trade dataset and a primary-school contact network illustrate the performance of the proposed method, revealing a dissolution-driven trade decline followed by formation-driven recovery during COVID-19 and temporary merge-type mixing between school classes.

Xianghe Zhu · 0 citations