Sentence examples for centrality metric from inspiring English sources

Exact(48)

Table 4 presents the raw values for the correlation coefficient obtained for the Betweenness centrality metric and each of the four centrality metrics: LCCDC, DegC, EVC, and ClC based on the PCC, SCC, and KCC measures.

Among the various localized centrality metrics proposed in the literature, the "leverage" centrality metric proposed by Joyce et al. [39] for brain networks has gained prominence. Leverage centrality of a node is a measure of the extent of connectivity of the node relative to the connectivity of its neighbors.

Among the other three centrality metrics analyzed (see Figs. 8, 9, 10 for a comparison), the degree centrality metric exhibits relatively higher levels of correlation with BWC.

We assert that system control analysis can be used as a centrality metric for evaluating the relative function of ecosystem components, and we compared the system control results to three centrality measures that are established in the literature.

It has been observed in [40] that the degree centrality metric exhibits the strongest levels of correlation with the betweenness centrality metric for both the ER and BA networks.

Each node has a global centrality metric across the network and the local on its local community.

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Similar(12)

If a data point lies above the diagonal line, it implies the BWC-LCCDC correlation coefficient is lower than the BWC-centrality metric combination for the corresponding real-world network.

If a data point is below the diagonal line, it implies the correlation coefficient incurred for BWC-LCCDC is larger than the correlation coefficient incurred for the BWC-centrality metric combination for the real-world network that the data point represents.

Centrality is a metric for one node, whereas centralization metric tells us about the whole network.

The Eigenvector centrality (EVC) metric exhibits relatively lower levels of correlation with BWC among all the centrality metrics analyzed and under all the three correlation measures.

Thus, our proposed LCCDC metric is significantly different from that of the leverage centrality, closeness centrality, and the other centrality metrics.

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