LocalClusteringCoefficient (ML Engine) - Teradata Vantage

Machine Learning Engine Analytic Function Reference

Product
Teradata Vantage
Release Number
8.10
1.1
Published
October 2019
Language
English (United States)
Last Update
2019-12-31
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B700-4003
lifecycle
previous
Product Category
Teradata Vantage™

The clustering coefficient, introduced by Watts and Strogatz in the context of binary undirected graphs, is frequently used for analyzing the structure of a network. The LocalClusteringCoefficient function extends the clustering coefficient to directed and weighted graphs. The LocalClusteringCoefficient function is based on the paper "Clustering in complex directed networks"by Georgio Fagiolo.

For general information about the clustering coefficient, see D. J. Watts and S. H. Strogatz. Collective dynamics of "small-world" networks. Nature, 393:440–442, 1998