Sentence examples for which centrality from inspiring English sources

Exact(6)

Many papers have been written to show co-relations among various centrality measures and to date, research has been carried out to answers these questions: which centrality measure is best for obtaining the top-K influential nodes in a given network, which centrality measure is the best fit for a given type of data etc.

In fact, centrality has been mentioned sporadically in transportation-related journals in which centrality measures were used to locate the most accessible route in a network [19, 20], the shortest path of a network [21], and design the best shape for a crossdock [22].

We investigated the whole set of correlations to define which centrality indices provide redundant information.

Finally, we mapped the brain regions in which centrality graph-derived measures showed the greatest contribution to classification.

Figure 3 depicts the regions in which centrality measures contributed to the classification of the ADHD types in the OHSU sample.

No matter which centrality measurement is used to evaluate the importance of genes in the context-constrained network, TP53 gene, which is already known as a tumor suppressor, is always the most important gene.

Similar(54)

To identify which centralities provide redundant information we compared protein rank orders, based on each centrality index, by adopting the Goodman-Kruskal's lambda [ 35].

Future research should evaluate the generalizability of the COPS in different samples, its responsiveness to treatment, and the extent to which pain centrality may be a focus of nonpharmacologic interventions for chronic pain.

The notion of betweenness is operationalized by the number of shortest paths (geodesics, g jk ) the vertex is situated on (g jk (n i )), standardized by the number of dyads not involving the vertex for which betweenness centrality is being calculated ([4], pp. 190): C B ′ ( n i ) = ∑ j < k g jk ( n i ) g jk ( m − 1 ) ( m − 2 ) 2 (19).

The critical nodes were chosen which the centrality was more than 0.1 (see Table  4).

We then chose the critical nodes which the centrality was more than 0.1 (see Table  3).

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