What question did this study set out to answer?

The aim is to validate the SΦG universal law of self-organization using processed empirical data.

June 23, 20260 citationsOpen Access

V.8 SΦG: A Universal Law of Self-Organization

Key Points

The aim is to validate the SΦG universal law of self-organization using processed empirical data.
Analyzed data from 14 different dynamical systems across various scientific domains.
Normalized data includes coefficients of determination (R²) and calibrated universal coupling constants (κ).
Data is presented in CSV format, detailing each empirical system analyzed.
Each dynamical system's data supports the SΦG law of self-organization.
Provided coefficients of determination (R²) demonstrate correlation strengths of the empirical models.
Calibrated universal coupling constants (κ) were derived, indicating consistent relationships among systems.

Abstract

This dataset contains the processed empirical data utilized to validate the SΦG universal law of self-organization, as presented in the corresponding manuscript "SΦG: A Universal Law of Self-Organization" (2026). The file includes normalized data from 14 distinct dynamical systems spanning multiple scientific domains (including Physics, Biology, Chemistry, Social Networks, Astrophysics, and Geophysics). Each entry provides the specific empirical system analyzed, its corresponding coefficient of determination (R²), and the calibrated universal coupling constant (κ) derived through macroscopic state variable mapping. Data Format: CSV (Comma-Separated Values)Variables: Domain, Empirical System Analyzed, R2, KappaLicense: Creative Commons Attribution 4.0 International (CC-BY-4.0)

Ask AI

Helpful

Bookmark

View Full Paper