Sentence examples for centrality used from inspiring English sources

One plausible explanation is that: the average closeness centrality used in this experiment only reflects the performance of our approach in an abstract level.

Betweenness centrality used path matrix P, which is defined as a |V| × |V| matrix with P ij entries being equal to the number of shortest paths between farmer i and j.

Closeness centrality used distance matrix D, which is defined as a |V| × |V| matrix with each entry of D i,j equal to the length of the shortest path between farmers i and j in the farmers' peer advice network data.

Depending on the kind of centrality used, its value can then be related to its immediate neighbors, more distant components of the network, or both.

Although network centrality used alone remains a modest predictor of the impact of positive selection, it could be included in an integrative biology approach to shed light on adaptive processes acting on the genome.

Note that our definition of closeness centrality uses the lengths of all outgoing shortest paths starting from a central vertex; other definitions of closeness centrality are possible based on the lengths of incoming shortest paths ("in-closeness centrality"), or all distances.

In this paper, we evaluate ways of predicting a node's future importance under three important metrics, namely degree, closeness centrality, and betweenness centrality, using empirical data on human contact networks collected using mobile devices.

In this article, we extend the standard definition of betweenness centrality using Semivalues a family of solution concepts from cooperative game theory that includes, among others, the Shapley value and the Banzhaf power index.

Degree centrality uses adjacency matrix A for unweighted networks, which is defined as a |V| × |V| matrix with entries A i,j  = 1 if and only if farmer i and j connects, else zero.

end{aligned}If the subgraph of the static graph ((mathcal {V}, mathcal {E}_M, mathrm {w})) is strongly connected, we can calculate the betweenness centrality using only the edges in (mathcal {E}_M).

We further examined network betweenness centrality (using Brandes' algorithm [75] in R [76] using the RBGL package [77], [78]) as well as the average betweenness centrality of the top 10 genes and microRNAs by degree, and the average shortest path length between the top 10 genes.