Sentence examples for the two centrality from inspiring English sources

Hub analysis of the HDF network resulted in fifteen proteins that are found to be central for at least one of the two centrality metrics (degree and eigenvector centrality) where six of them were oncogenes.

Table 3 reports levels of the two centrality coefficients, reflecting the degree of import penetration and of international outsourcing.

In other words, a pair of vertices (v_{i}) and (v_{j}) are discordant if a vertex has a larger value for only one of the two centrality metrics.

The Mann–Whitney U test (also called Wilcoxon rank sum test) was applied to compare the two centrality measures, BC and DC, between selection signals and nonselection signals, to determine whether network position influences recent positive selection.

Figure 1: Illustration of the three centrality measures in a sample network.

This step has been independently repeated for the three centrality measures and for the two data sources.

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.

For each of the four centrality metrics we test the null hypothesis that coauthorship centrality distributions of papers in P ↑ ( t ) and P ↓ ( t ) are the same against the alternative hypothesis that the centrality distribution of papers in P ↑ ( t ) is stochastically larger than that of papers in P ↓ ( t ).

As the networks become increasingly scale-free (i.e., the variation in node degree in the network increases), the trend we could deduce is a decrease in the correlation coefficient values between BWC and each of the four centrality metrics (especially in the case of Eigenvector centrality under all the three correlation measures).

In Figure 6, we separated units with zero and non-zero prevalence and plot prevalence in the non-zero units as a function of the four centrality measures - in-degree (which according to the results shown in Figure 2 amounts to the same figure as out-degree), PageRank, betweenness and weighted betweenness.

Section 5 presents the 18 real-world network graphs and discusses the results of correlation coefficient analysis for BWC with each of LCCDC, DegC, EVC, and ClC as well as ranks the five centrality metrics on the basis of the execution time incurred to compute them on these graphs.