Sentence examples for centrality that from inspiring English sources

But it was only in 1991, with the furor over Anita Hill's accusations against Clarence Thomas, that the crumbling borderline between public and private, and the issue of a candidate's sexual "character," assumed the centrality that would make it the defining theme of the Clinton era, from the near-disaster of Gennifer Flowers to Paula Jones' lawsuit to the denouement of impeachment.

Bonacich [38] proposed eigenvector centrality that measures influence propagation in a network structure.

Two kinds of centrality can be distinguished: (1) a natural centrality that is mainly based on the location of a site in relation to its local hinterland as well as supra-regional landscape characteristics and (2) a politically controlled centrality that is caused by human efforts to assemble central functions.

Katz centrality was used as a measure of topological centrality that helps to discover the relative influence of each node on the network.

This opposition was somewhat surprising in the light of the centrality that measures to facilitate remittance transfers have had in the SDG discussions.

In future work, we aim to devise an algorithm for approximating the periodic betweenness centrality that can terminate in (O |mathcal {V}|)).

Conversely, if it was in fact low C-centrality that was analogous to increased fitness, individuals could use organizational rules that would hamper the emergence of high C-centrality individuals in a group (perhaps also ensuring that they themselves would not emerge as one), as was observed in our affiliation-driven networks.

This perspective poses serious concerns on the minimum and optimal set of centralities that are needed to characterize functional properties of the network nodes (e.g., proteins, genes).

Actually it is expected, as hub genes with large weights may have high degree and betweenness centralities that are considered to be frequent indicators of genes importance (Gu et al., 2012).

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.

Finally, we remark that our methods can be generalized beyond the simple notion of degree centrality to other more complicated centrality measures that also have functional significance.