AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
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An event-adaptive incremental framework for transient community detection in temporal networks
A novel evolutionary incremental approach called Event Adaptive Incremental Learning Non-Negative Matrix Factorization (EA-iNMF) is proposed, which integrates event-adaptive learning with an incremental update mechanism to efficiently identify optimal time spans corresponding to peak user engagement.