Sentence examples for centrality obtained from inspiring English sources
We compute the errors in closeness centrality obtained from the networks with and without integration ( Error( G integrated ) and Error( G p )) using the error function defined in 5.2.
Nodal properties, such as the clustering coefficient and centrality measures, obtained from network structures are useful and have been widely utilized for biological networks because they (especially, centrality measures) are correlated with actual bimolecular properties such as the evolutionary rates of proteins [ 25] or genes [ 26] and protein essentiality [ 27].
The rankings for betweenness centrality are obtained in a similar fashion (i.e., using C B for X b ).
Eigenvector centrality is obtained from the principal eigenvector (the one associated with the largest eigenvalue) of the adjacency matrix A of the network.
The centrality was obtained from the first eigenvector of the adjacency matrix, where nonzero values were set to I LL n.
The mean Spearman rank correlation coefficients between each pair of centrality indices obtained from 1000 random networks of the same size as the HD, HD and the total network.
The non-centrality parameter obtained in the analysis of the large simulated data set can subsequently be used to calculate the power for smaller, more realistic sample sizes.
Figure 4 presents the calculation of the PCC for the betweenness centrality (B) and local clustering coefficient-based degree centrality (C) values obtained for the example graph used in Figs. 1, 2, 3. We obtain a correlation coefficient value of 0.97 (see Fig. 4) indicating a very strong positive correlation between the two metrics for the example graph.
The sub-community centrality can be obtained mathematically from the spectra of the weighted adjacency matrix of the network.
By analyzing the rail network using the social network analysis software NodeXL, various centrality measures were obtained.
Finally, we used a phylogeny-based Markov Chain Monte Carlo (MCMC) Bayesian method implemented in the Coalesce 1.5 beta program [ 105] to estimate the genetic diversity (θ = Ne. μ) for each viral gene alignment and compared θ to betweenness centrality (BC) estimates obtained for 'core' (replication and capsid) and 'satellite' (all the others) functions [ 101].
