Sentence examples for various centrality from inspiring English sources

The participant codes of the most central people, according to various centrality definitions are also provided in dix 1, along with their basic characteristics.

We also noted that the various centrality measures gave qualitatively similar results.

By analyzing the rail network using the social network analysis software NodeXL, various centrality measures were obtained.

The authors use various centrality indicators defined in Freeman [33] to explore the capacity of social network metrics to explain verdicts and prison sentence length.

Even though in most network models and empirical networks various centrality measures are usually positively correlated, some types of regularities can cause them to be less so, our unit network did not show any such effects.

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.

Various centralities related to the composition are compared on social and collaboration networks.

We start with the fundamental properties of the network such as the degree distribution and various centralities, and find how they correlate with composer attributes such as artistic styles and active periods, indicating their significance in the formation and evolution of the network.

Various graph centrality algorithms including degree, closeness, betweenness, eigenvector centrality, and PageRank have been adopted in the existing co-occurrence word graph ranking methods.

Among the various localized centrality metrics proposed in the literature, the "leverage" centrality metric proposed by Joyce et al. [39] for brain networks has gained prominence. Leverage centrality of a node is a measure of the extent of connectivity of the node relative to the connectivity of its neighbors.

Comparisons of different methods of network construction, including the various unweighted centrality measures discussed, thus need to be parameterized to yield similar numbers of genes, to avoid confounding effects of gene set size and network construction.