"cluster coefficient" is a correct and usable phrase in written English.
It is typically used in the context of network theory and refers to the measure of the degree to which nodes in a network are connected to each other. Example: The social media platform's high cluster coefficient indicates that users tend to be closely connected within small groups rather than having a wide network of connections.
The third cluster coefficient approximation for ion-wall distribution functions is investigated.
Finally, we study and compare the statistic features of the networks converted from original traffic time series in three states based on phase space and visibility by using the degree distribution, network structure, correlation of the cluster coefficient to betweenness and degree degree correlation.
In this condition, WS networks have the properties of small-world and high cluster coefficient.
Compared to the previous relation, service precedence presents a larger network diameter and a slightly lower cluster coefficient.
The metrics evaluated were gray-matter volume (GMV), cortical thickness (CThk), mean diffusivity (MD), fractional anisotropy (FA), fiber count (FiberConn), node degree (Deg), cluster coefficient (ClusC) and relative standard-uptake-values (rSUV).
Local (cluster coefficient) and global (path length) network measures were quantitatively defined.
The former has 1447 nodes with 5879 edges, a cluster coefficient of 0.195 and an average degree of 8.13; the latter has 2385 nodes with 3825 edges, a cluster coefficient of 0.126 and an average degree of 3.21.
The result of this analysis is presented in Figure 6, where the circular nodes are the ones with high "cluster coefficient" and the diamond nodes are the ones with lower "cluster coefficient".
Watts & Strogatz originally proposed the characteristic path length (Lnet) and cluster coefficient (Cnet) to quantify small-world network properties [13].
Eight network parameters, degree, cluster coefficient, hubscore, cocitation, coreness, constraint, betweenness and closeness, were used to describe residues.
