High-order, beyond-pairwise interdependencies are at the core of biological, economic, and social complex systems, and their adequate analysis is paramount to understand, engineer, and control such systems.This paper presents a framework to measure high-order interdependence that disentangles their effect on each individual pattern exhibited Wall Hanging Panels by a multivariate system.The approach is centered on the local O-information, a new measure that assesses the balance between synergistic and redundant interdependencies at each pattern.
To illustrate the Acrylic Plaque Display Stand potential of this framework, we present a detailed analysis of music scores from J.S.Bach, which reveals how high-order interdependence is deeply connected with highly nontrivial aspects of the musical discourse.
Our results place the local O-information as a promising tool of wide applicability, which opens other perspectives for analyzing high-order relationships in the patterns exhibited by complex systems.