Hyperharmonic analysis for the study of high-order information-theoretic signals

Network representations often cannot fully account for the structural richness of complex systems spanning multiple levels of organisation. Recently proposed high-order information-theoretic signals are well-suited to capture synergistic phenomena that transcend pairwise interactions; however, the e...

Full description

Saved in:
Bibliographic Details
Published inJournal of physic, complexity Vol. 2; no. 3; pp. 35009 - 35024
Main Authors Medina-Mardones, Anibal M, Rosas, Fernando E, Rodríguez, Sebastián E, Cofré, Rodrigo
Format Journal Article
LanguageEnglish
Published IOP Publishing 01.09.2021
Subjects
Online AccessGet full text
ISSN2632-072X
2632-072X
DOI10.1088/2632-072X/abf231

Cover

More Information
Summary:Network representations often cannot fully account for the structural richness of complex systems spanning multiple levels of organisation. Recently proposed high-order information-theoretic signals are well-suited to capture synergistic phenomena that transcend pairwise interactions; however, the exponential-growth of their cardinality severely hinders their applicability. In this work, we combine methods from harmonic analysis and combinatorial topology to construct efficient representations of high-order information-theoretic signals. The core of our method is the diagonalisation of a discrete version of the Laplace–de Rham operator, that geometrically encodes structural properties of the system. We capitalise on these ideas by developing a complete workflow for the construction of hyperharmonic representations of high-order signals, which is applicable to a wide range of scenarios.
Bibliography:JPCOMPX-100115.R1
ISSN:2632-072X
2632-072X
DOI:10.1088/2632-072X/abf231