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...
Saved in:
Published in | Journal of physic, complexity Vol. 2; no. 3; pp. 35009 - 35024 |
---|---|
Main Authors | , , , |
Format | Journal Article |
Language | English |
Published |
IOP Publishing
01.09.2021
|
Subjects | |
Online Access | Get full text |
ISSN | 2632-072X 2632-072X |
DOI | 10.1088/2632-072X/abf231 |
Cover
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 |