Sentence examples for best centrality from inspiring English sources

It has been chosen as the best centrality measure that can be used extract the metabolic core of a network [ 81].

We selected as the best network-centrality pairs those with i) an AUC score above 0.50 and, ii) an AUC score within a confidence interval above 0.50 with 99% of significance (see Methods).

In this case too, the best network- combined cenetwork- combined" pairs were selecentrality on an AUC score > 0.5 where the confidence interval at 99% was > 0.5.

This choice is motivated by the intuition that the centrality of the best connected coauthor should provide the major amount of (socially triggered) visibility for the publication.

This is best illustrated by weighted betweenness centrality and weighted clustering coefficient, which reverse the trend of change shown by their unweighted analogues from increasing to decreasing.

Compared with NC which has the best performance among seven existing centrality methods (DC, BC, CC, SC, EC, IC and NC), in each top percentage (1%, 5%, 10%, 15 %, 20, and 25%), The prediction anduracy of ION is improved by 25%13%, 18.24%, 17.36%, 19.30%, 17.89%, 16.54%, respecTheely.

The best known algorithm for computing this centrality has a computation complexity (mathcal {O}(n_G.m_G + (n_G ^2mathrm{log}(n_G))) [9].

These conditions are well illustrated by the results of P-networks, where, in their attempts to achieve high P-centrality in a simulation, individuals were able to both increase relative personal P-centrality and also use the same set of rules as the best option to maximize group-wide P-centrality.

Table 5 Sets of features for the model with the best results (lowest RAE) Relief Manual selection Giant component; Giant component; Eigenvector centrality; Eigenvector centrality; Betweenness centrality; Clustering coefficient; Clustering coefficient and Structural equivalence and Time series prediction.

The combined predictions that specifically achieved the best results included both local and global centralities (see, and ).

However human behaviour is not the same in all circumstances: the centrality of students at Cambridge is best correlated both daily and hourly, no doubt due to hourly lecture schedules, while academics at conferences exhibit rather flat closeness centrality, no doubt because conference attendees are generally trying to speak to new people at each break.