Sentence examples for centrality meaning from inspiring English sources

Eccentricity is not reported in the figure, since a high number of vertices share the same value of this centrality, meaning that the network is somewhat 'equally spaced'.

A characteristic of a core concept is centrality, meaning that many other concepts are linked to it.

Our primary measure of 'hubness' has been degree centrality, meaning that brain regional nodes with the highest number of connections (edges) to other regions are the most frequently lesioned by diseases.

Particularly, results presented here show that the raw material for innovation is also to be found in genes, or in their cis-regulatory region, encoding proteins with high network centrality, meaning that they have more pleiotropic effects, are more indispensable and in general are at the basis of strong changes as a result of mutations.

The centrality of meaning to poetry – the absolute necessity of getting at it, and getting it right – is at the heart of his argument, and he makes it in terms that are hard to gainsay.

For example, they should facilitate opportunities for patients to express information about their illness that include the centrality of meanings shaped by religious beliefs, and how these alter their perceptions of illness and quality of life [ 41].

For degree centrality the odds ratio is 1.14, meaning that the higher is this indicator, the more likely is a guilty verdict.

Thus, for out-degree centrality the odds ratio is 1.34, meaning that the higher is this indicator, the more likely is a guilty verdict.

Following stressful events, there is evidence that the degree to which the event is perceived as central to one's identity and forms a reference point for the attribution of meaning to other events (i.e., "centrality of events") is associated with depression symptoms.

If the network is directed (meaning that ties have direction), then we usually define two separate measures of degree centrality, namely indegree and outdegree.

Closeness centrality indicates whether a node is at a short average distance from every other reachable vertex, with higher closeness meaning shorter distance.