Figure 1

Methodological flow chart. Illustration of the workflow we follow in our work. Step 1: We identify the best model \(M^{\star}\) using the predictive accuracy over unobserved data considering all plausible network representations of the data. Step 2: We select the network representation of the data that yields most accurate predictions of unobserved data compared to other data representations using \(M^{\star}\). Step 3: We consider all data and obtain the most plausible model parameters \((\theta^{\star}, \eta^{\star}, {\mathbf {p}}^{\star})\) and analyze and interpret those parameters to understand decision making strategies