Scale-Resolved Correlation Structure in Complex Systems
Abstract
We present a scale-resolved correlation framework for analyzing structure and dependency across hierarchical and multiscale systems. The method decomposes correlation behavior across scales, revealing emergent organization not visible in aggregate statistics. Applications include complex networks, information-theoretic systems, and physical processes where interactions exhibit scale dependence. The accompanying code enables full reproducibility of all reported results.
Fields of Study & Subjects
Complex Systems and Time Series Analysis
Complex Network Analysis Techniques
Complex Systems and Dynamics
Publication details
- Journal / source
- Zenodo (CERN European Organization for Nuclear Research)
- Publication date
- 13 January 2026
- Language
- EN
- Document type
- Preprint