1.1 - 8.10 - Centrality Calculation - Teradata Vantage

Teradata Vantage™ - Machine Learning Engine Analytic Function Reference

Product
Teradata Vantage
Release Number
1.1
8.10
Release Date
October 2019
Content Type
Programming Reference
Publication ID
B700-4003-079K
Language
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.