Centrality Calculation - Teradata Vantage

Machine Learning Engine Analytic Function Reference

Product
Teradata Vantage
Release Number
9.02
9.01
2.0
1.3
Published
February 2022
Language
English (United States)
Last Update
2022-02-10
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B700-4003
lifecycle
previous
Product Category
Teradata Vantage™

To calculate centrality using the formulas described in Centrality Formulas, the EigenvectorCentrality function uses an in-neighbors relation matrix of the input source key and target key. In this matrix, aij has the value 1 if there is an edge from j to i.

In-Neighbors Relation Matrix
Graph and corresponding in-neighbors relation matrix (Machine Learning Engine function EigenvectorCentrality)

If you need an out-neighbors adjacent matrix—for example, to calculate the contribution of a vertex to other vertices—exchange the source key and target key columns and then invoke this function.