Fig. 2

This figure presents the centrality and clustering indices for the networks of the ED and GP groups. Centrality measures the importance of nodes within the network, indicating how strongly each variable connects with others. High centrality scores suggest that a variable plays a central role in the network, while low centrality indicates weaker connections. The clustering indices represent the degree to which nodes in the network tend to cluster together, forming cohesive groups of closely related variables. A higher clustering coefficient indicates that variables in the network tend to form distinct clusters, while lower clustering values suggest more dispersed connections. The clustering indices in this figure further illustrate the more fragmented and isolated nature of the ED network compared to the more interconnected and adaptive structure observed in the GP group