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Moreover, standard measures of gene centrality focus on binary interaction networks, which may not always be suitable in the context of co-expression networks.
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Eigenvector centrality focuses on the fact that a node having the connection to high centrality nodes are more important than the node having links with low centrality nodes (Boudin 2013).
Betweenness centrality focuses on whether actors serve as bridges in the shortest paths between two actors.
Closeness centrality focuses on how close one actor is to other actors on average, measured along geodesics.
This explicit focus on the centrality of culture in treatment is the primary factor that distinguishes Indigenous from non-Indigenous treatment services.
According to its definition, the local centrality only focuses on users from the same fog community and only evaluates the directly related users.
Finally, for perturbation interactions, we see a large focus on centrality measures, which are typical for regulators with many outgoing connections.
Unlike the reported closeness centrality, this feature focuses on the communication between keyAAs, instead of all the other residues and catalytic residues.
Here, for each network and centrality score, I focused on genes with centrality scores above the 0.95 percentile of the observed distribution in each network.
The assumption of advantageous social position could equally well be linked to lower centrality, since we will focus on general trends.
Although a myriad of centrality measures exist, the focus of this study has been directed to the analysis of degree, betweenness, and eigenvector centrality as they are the most commonly used centrality metrics in brain networks.
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