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Authority is a centrality measure that shows how influential a node is in the network while, a node is considered a hub if it is connected with many authorities.
Betweenness is a centrality measure of a vertex within a graph that summarises its relative importance both locally and globally [ 14- 16].
The betweenness centrality of a gene is a centrality measure that is proportional to the number of shortest paths between genes in the network that go through the gene in question.
While betweenness is a centrality measure of a vertex within a graph, nodes that have a high probability to occur on a randomly chosen shortest path between two randomly chosen nodes also have a high betweenness [ 24].
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Betweenness centrality is a global centrality index that quantifies the extent that a gene controls the information flow between all pairs of genes in the network.
Betweenness is a global centrality measure, which determines the centrality of a node in a network based on the total number of shortest paths going through the given node.
It is a local centrality measure since determined by the number of its neighbors.
Centroid is a complex centrality feature based on the ranking of how many nodes are closer to the gene than other genes in the network.
Such a small overlap between the predicted proteins of PeC and DC, BC, CC, SC, EC, IC, BN, DMNC, RL, LI, LR, NC, MC shows that PeC is a special centrality measure which is much different from others.
In yet another view, node's centrality is a function of centrality of its neighbours [ 79] so called power centrality.
There are also various measures of centrality that help one to determine the most important nodes in a graph for example the betweenness centrality is a measure of centrality that is the probability that a given node is on the shortest path between two uniformly randomly chosen nodes [90].
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com