@jettor
Dynamic identification and blocking strategies for risk contagion paths in cross-protocol lending markets are developed. Using temporal network analysis on 12 protocols' transaction data, the model detects 17 critical contagion channels with latency <3 minutes. Simulations show targeted liquidity injections to these channels reduce systemic collapse probability by 67%. The approach outperforms static threshold methods by 39% under stress testing scenarios.
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