We used a combination of centrality measures to identify hubs in the networks. Following Karrer et al. (38), we ascribed as hubs those nodes that excel (above population average) in at least two of the following categories: nodal strength, nodal betweenness, and local efficiency. Hubs are crucial for functional integration and facilitate the flow of information in a network. For networks that present more than one community, hubs were further classified to pinpoint their role in integrating the communities. Classification was established through the participation coefficient (39, 40), a measure that evaluates the distribution of the functional links of a node across all communities in a network. Hubs that present, above average, a high participation coefficient are referred to as connector hubs and promote communication among communities. On the contrary, hubs that show a low participation coefficient are referred to as provincial hubs. Their role is to facilitate communication within a community. Last, those nodes that present a high participation coefficient but were not initially classified as hubs are referred to as kinless nodes. These nodes typically do not belong to a particular community but facilitate intercommunity integration.

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