Moral values and personality characteristics can be computed from honest signals in emails and other interaction archives. Based on a combination of structural and dynamic social network metrics such as degree and betweenness centralities, and oscillation in betweenness centrality, a machine learning model can predict FFI personality characteristics, moral foundations, Schwartz values, and risk-taking attitudes.
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