Network-to-Prior Bayesian Network Learning for Interpretable Risk Decision Support
Complex-network analysis describes risk relations, whereas Bayesian networks (BNs) support probabilistic updating and scenario analysis. We propose a network-to-prior interface that converts semantic roles, normalized mutual information, communities, and bridge participation into a feasible edge domain and data-revisab...