Exact(1)
In all these studies they have taken a large social network of people and applied centrality measures and statistical analysis such as logistic regression and generalized estimation equation (GEE) procedures on longitudinal data.
Similar(58)
To determine the importance of each of the amino acid sites in the network (e.g., amino acids establishing most of the connections) we applied network centrality measures to coevolving sites, typically used in networks biology: degree centrality, betweenness and closeness.
We applied betweenness-centrality concepts (using Dijkstra's shortest path algorithm) to determine major hydrologic flowpaths based off of hydraulic resistance.
We applied betweenness-centrality ratio (BC-ratio), a metric that allowed us to quantitatively assess the impact of genes mutated in the cell line on the disease or process network.
The node betweenness B (v ) of a node v can be calculated from the number of shortest paths σ st from nodes s to t going through v : (1) The eigenvector centrality measures the importance of network nodes by applying a centrality definition, in which the score of each node reciprocally depends on the scores of its neighbours.
This paper applies graph centrality measures to suggest a competitive placement of perforation zones in oil reservoirs.
This paper shows that by applying betweenness centrality to the rail network in Hong Kong, a number of rail stations, especially those located at the interchanges between two rail lines, stand out to be the more important rail stations as expected.
aDREAM refers to non‐textual formal descriptions of agent‐based models such as those obtained by converting agent‐based models to complex networks and subsequently applying quantitative centrality measures.bhttp://publicationethics.org/resources/guidelinescFor reference, kindly review http://publicationethics.org/files/u2/2003pdf12.pdf.org/files/u2/2003pdf12.pdf
In the following we apply strength centrality to the C&T-TNs as explained in more detail in Appendix 2. We decide for this measure, since it constitutes a simple but convenient metric to determine and compare the importance of single countries in the C&T-TNs, according to the overall intensity of C&T-trade linkages they share.
CoIN applies betweenness centrality to measure the importance of vertices (articles) in a network.
Our approach of building the network by literature mining, including the interactions among the non-seed genes, and applying network centrality measures achieved a higher proportion of non-seed (inferred) genes and a higher accuracy of the inferred genes.
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