Sentence examples for mean degree and from inspiring English sources

Yet, if the degree distribution is not to broad, our approach results in good estimates for the mean degree and the clustering coefficient, which, moreover, are almost independent from the response rate.

Connectivity was estimated by means of two metrics: mean degree, and connectance.

Finally, the miRNA obtained an integrated parameter static score as the sum of the normalized mean degree and neighborhood connectivity values was subtracted by 3.3.

Using the same parameter k, we also calculated the number of overlapped nodes in 1000 matched random networks that preserve the same number of nodes, mean degree, and degree distribution as the brain network [47].

After importing the information of the validated [14] and predicted [15] target genes of a miRNA into the networks, the normalized mean degree and neighborhood connectivity values of the nodes representing proteins encoded by its target genes were calculated with network mean value as background.

In addition, the mean degree and density of the different contact networks were calculated.

Afterward, we obtained the unipartite projections from the randomly-generated bipartite networks, and calculated for each one the following metrics: mean degree, connectance and clustering coefficient.

To test whether the structure of our eight empirical networks differed from that of networks produced by pollinators visiting individual plants at random, we compared the metrics (mean degree, connectance and clustering coefficient) obtained from our empirical networks with those of simulated networks.

For CPs defined by having a shared boundary, the presence of rivers and ditches reduced the mean degree by 0.40 and 0.51 in Aberdeenshire and Ayrshire, respectively (distribution shown in Figure  2).

Holdings that kept only sheep had a mean degree between 0.85-1.52 and 1.13-2.07 less than holdings that kept cattle only or cattle and sheep, in Aberdeenshire and Ayrshire respectively, across all map-based CP definitions.

The network analysed had 189,000 nodes (each corresponding to a single user) with 75 million mutual tweets between them (mean degree of 28) and a global clustering coefficient of 0.084.