For example, in the WoS dataset, TWOR matches a topic centered on Diabetes (e.g., “insulin,” “glucose,” “obesity”), while KL divergence instead retrieves bioelectromagnetic topics, likely due to similar growth patterns rather than shared semantics. Here, INS is linked to obesity due to melanocortin 4 receptor deficiency.