Sentence examples for relevant centrality from inspiring English sources

Exact(1)

Given a graph G, normalized betweenness centrality of a vertex v in G is calculated as the number of shortest paths passing through vertex v divided by total number of shortest paths in graph G. Another relevant centrality measure is PageRank [28], which is calculated as follows.

Similar(59)

To evaluate the proteins forming the most relevant network, centrality analysis was performed by sorting the proteins into hubs and/or bottlenecks.

Three particularly relevant measures of node centrality are degree, eigenvector centrality, and betweenness (Table 1).

The standard centrality measure most relevant to our work is betweenness (shortest path betweenness), [16].

Thresholds for selection criteria of the most relevant nodes according to their centrality values were established considering one s.d. of the mean for each topological network properties: 'stress': 48 919.44 (mean=15251.9); 'connectivity or degree': 35.84815 (mean=19.59893); 'betweenness': 0.022270086 (meand0.005765439); and 'closeness': 0.372488254 (mean=0.372488254).

When the whole sample was used, none of the centrality measures had a relevant predictive power beyond chance.

This supports the importance of the network centrality in detecting the functionally relevant regions (see above, Network Model of Local Correlated Motions).

Second, an algorithm that selects statistically relevant genes was implemented and compared with standard centrality scores.

We have evaluated the most important centralities for each node, plus some relevant global properties of the graph.

As new media play off of their newfound centrality and old media try to stay relevant, a moral panic riding on the back of safety concerns has been able to hide the underlying unspoken threat to the Broadway order.

While the built-in NetworkAnalyzer tool is oriented in characterizing the global behaviour of the network, provided with several global network statistics, CentiScaPe is designed to identify the most relevant nodes and provides a more comprehensive set of centralities.

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