Sentence examples for mean path lengths from inspiring English sources

Focusing on HDFs we observed a significant shift toward longer mean path lengths compared to targeted proteins (Student's t-test, P<0.02).

This means that the local connectedness of the mTLE patients has a tendency closer to random networks, characterized by low average clustering coefficients and short mean path lengths [46].

Values of p = 0 and p = 1 give regular and random networks, respectively, with intermediate p values resulting in 'small-world' networks that share properties of both provided that the network is connected and sparse — densely connected networks trivially have small mean path lengths and high clustering coefficients.

PATHd8 is a local rate smoothing method that estimates node ages by calculating mean path lengths from the node to the tips.

This paper introduces an interesting parameterized class of stochastic network growth models that clearly can produce networks with a range of different topological properties, i.e., degree distributions, modularity, mean path lengths, clustering coefficients, as the parameters of the stochastic growth process are varied.

The correlation efficient between and either NC or the mean path length is also measured (Table 2).

The tables indicate that the performance of a community detection algorithm is not consistently correlated with the mean path length.

In fact, large coarse-grained networks may have a large mean path length and deteriorate the performance of the CbCI algorithm.

Therefore, we calculate the correlation coefficient between NC, i.e., the number of the detected communities, and qC, and between the mean path length in the unweighted coarse-grained network and qC (Table 1).

It is important to note that the mean path length (unchannelized length) describes the drainage density of the tidal network (Marani et al. 2003).

We hypothesize that networks with greater connectivity and shorter mean path length will more rapidly distribute repairs, but will decrease diversity in the process.