Centrality Calculation - Teradata Vantage - Background information for ML Engine EigenVectorCentrality function.

Machine Learning Engine Analytic Function Reference

Product
Teradata Vantage
Release Number
8.00
1.0
Published
May 2019
Language
English (United States)
Last Update
2019-11-22
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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

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.