Sentence examples for between the clustering coefficient from inspiring English sources

The analysis compares between the clustering coefficient of one sub-network and another.

For example, we derive simple relationships between the clustering coefficient, the heterogeneity, the density, the centralization, and the topological overlap.

The relationship between the clustering coefficient and modular structure has been investigated by several authors [ 20, 22- 24].

The composite parameter of small-worldness represents the ratio between the clustering coefficient (connectedness between adjacent nodes) and the shortest path length, both normalized by random network topology.

Regression analysis was applied to estimate the scaling factors for the scale-free and exponential network models, as well as to investigate the relationship between the clustering coefficient C(k) and the vertex degree k.

We therefore wanted to ascertain the relationship between the clustering coefficient and the connectivity of the proteins in the network and quite predictably there is a positive correlation between these two parameters (CORE: ρ = 0.169, P = 1.00 × 10-6; FULL: ρ = 0.445, P = 1.00 × 10-6) for the DP and SP proteins taken together.

Given the difference between the clustering coefficients of these two networks, it lead us to suggest that external collaboration plays a great deal in defining the small-world structure of INMEGEN's collaboration network, and most of all, it gives it a closure that makes it easily navigable.

In the case of the smallest small-world network, it can be expressed by two parameters: the average path length (L), which measures the efficiency of communication or the time required to travel between nodes; and the clustering coefficient (C), which represents the degree of local order.

Among these measures, we provide evidence that the correlation between the connectivity and the clustering coefficient (two important network concepts) is a sensitive indicator of homogeneity among biological samples.

In addition, we can observe a correlation between the degree exponent and the clustering coefficient.

The clustering coefficient varies between 0 and 1 and measures how well the connections of a node are themselves connected (Holme et al. 2007).