1.1 - 8.10 - Centrality Calculation - Teradata Vantage

Teradata Vantage™ - Machine Learning Engine Analytic Function Reference

Teradata Vantage
Release Number
October 2019
Content Type
Programming Reference
Publication ID
English (United States)

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.