System and method for modeling correlation in a sourcing model using similarity matrix decomposition

A system for modeling correlation in a sourcing model, the system comprising:

• a processor configured to collect voting output from plural voting sources and store the voting output in memory;
• a correlation modeling module configured to:
• retrieve at least two voting outputs from memory;
• determine correlation among at least two voting sources by measuring consensus among the at least two voting sources using an agreement metric;
• determine a degree of a first-order interaction among the at least two voting sources;
• and
• determine a degree of correlation among the at least two voting sources having a degree of a first-order interaction;
• and
• wherein the processor is configured to assign a weight factor to each voting source of the at least two voting sources based on the degree of correlation attributed to their respective first-order interactions.

A method for modeling correlation in a sourcing model, the method comprising:

• retrieving at least two voting outputs from plural voting sources;
• determining correlation among at least two voting sources by measuring consensus among the at least two voting sources using an agreement metric;
• determining a degree of a first-order interaction among the at least two voting sources;
• and
• determining a degree of correlation among the at least two voting sources having a degree of first-order interaction.