the clustering in the network, whereas the local gives an indication of the extent of "clustering" of a single node. The local clustering coefficient of...

probability of two nodes being connected, ER graphs have a low clustering coefficient. They do not account for the formation of hubs. Formally, the degree...

graph characterized by a high clustering coefficient and low distances. In an example of the social network, high clustering implies the high probability...

trivial: networks are trees and the clustering coefficient is equal to zero. An analytical result for the clustering coefficient of the BA model was obtained...

order) the clustering coefficient and transitivity for that graph. One measure for the presence of triadic closure is clustering coefficient, as follows:...

the distribution of the nodes' clustering coefficients: as other models would predict a constant clustering coefficient as a function of the degree of...

clustering (also referred to as soft clustering or soft k-means) is a form of clustering in which each data point can belong to more than one cluster...

Look up clustering in Wiktionary, the free dictionary. Clustering can refer to the following: In computing: Computer cluster, the technique of linking...

have a low or negative value, then the clustering configuration may have too many or too few clusters. A clustering with an average silhouette width of over...

The clustering coefficient for the entire network is the average of the clustering coefficients of all the nodes. A high clustering coefficient for a...

features include a heavy tail in the degree distribution, a high clustering coefficient, assortativity or disassortativity among vertices, community structure...

statistical distributions. Clustering can therefore be formulated as a multi-objective optimization problem. The appropriate clustering algorithm and parameter...

k-means clustering is a method of vector quantization, originally from signal processing, that aims to partition n observations into k clusters in which...

A correlation coefficient is a numerical measure of some type of linear correlation, meaning a statistical relationship between two variables. The variables...

above, the global clustering coefficient is an inverse function of the network size, so for large configuration networks, clustering tends to be small...

Another important characteristic of scale-free networks is the clustering coefficient distribution, which decreases as the node degree increases. This...

Density-Based Clustering Validation (DBCV) is a metric designed to assess the quality of clustering solutions, particularly for density-based clustering algorithms...

clusters. Strategies for hierarchical clustering generally fall into two categories: Agglomerative: Agglomerative clustering, often referred to as a "bottom-up"...

In probability theory and statistics, the coefficient of variation (CV), also known as normalized root-mean-square deviation (NRMSD), percent RMS, and...

In statistics, the Pearson correlation coefficient (PCC) is a correlation coefficient that measures linear correlation between two sets of data. It is...

is wanted. Clustering coefficient: A measure of the likelihood that two associates of a node are associates. A higher clustering coefficient indicates...

vertices in a directed network to be mutually linked. Like the clustering coefficient, scale-free degree distribution, or community structure, reciprocity...

context. Another general characteristic of scale-free networks is the clustering coefficient distribution, which decreases as the node degree increases. This...

statistics, the intraclass correlation, or the intraclass correlation coefficient (ICC), is a descriptive statistic that can be used when quantitative...

independently by Paul Jaccard, originally giving the French name coefficient de communauté (coefficient of community), and independently formulated again by Taffee...

Hamiltonian cycle. The clustering coefficient of RGGs only depends on the dimension d of the underlying space [0,1)d. The clustering coefficient is C d = 1 − H...

In statistics, Spearman's rank correlation coefficient or Spearman's ρ is a number ranging from -1 to 1 that indicates how strongly two sets of ranks...

degree of common connections in the network (quantified by the clustering coefficient). These models are particularly good at showing the impact of opinion...

referred to as the "dispersion parameter", "shape parameter" or "clustering coefficient", or the "heterogeneity" or "aggregation" parameter. The term "aggregation"...

adjacency matrix representations. Neighbourhoods are also used in the clustering coefficient of a graph, which is a measure of the average density of its neighbourhoods...