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Related Experiment Video

Updated: Feb 24, 2026

Quantitative Static and Dynamic Assessment of Balance Control in Stroke Patients

Quantitative Static and Dynamic Assessment of Balance Control in Stroke Patients

Published on: May 17, 2020

Statistical physics of balance theory.

Andres M Belaza^1,2, Kevin Hoefman², Jan Ryckebusch¹

¹Department of Physics and Astronomy, Ghent University, Ghent, Belgium.

|August 29, 2017

Summary

This study models triadic relationships in social and political networks using statistical physics. The model captures relationship dynamics and reveals persistent hierarchies in political networks.

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Area of Science:

Network Science
Statistical Physics
Social Dynamics

Background:

Triadic relationships are fundamental to social and political network dynamics.
Existing models often lack quantitative methods to capture complex triadic interactions.

Purpose of the Study:

To develop a quantitative model for the dynamics of four types of triadic relationships in networks.
To incorporate insights from balance theory and statistical physics into network analysis.

Main Methods:

Proposed a model based on triadic incidence rates and assigned triadic energies.
Introduced systemic temperature to account for disorder in relationship formation.
Developed a generic Hamiltonian with three terms to model triadic energies, including three-body interactions, heterogeneity, and negative edges.

Main Results:

Validated the model on datasets from a massively multiplayer online game (MMOG), the Syrian civil war, and the Cold War.
Observed emerging properties in political network triadic relationships.
Found a persistent hierarchy among the four triadic energies and consistent parameter extraction.

Conclusions:

The proposed model effectively captures the dynamics of triadic relationships in diverse networks.
The model provides insights into the 'frustration' and emergent properties within political networks.
The framework offers a novel approach to understanding complex social and political systems.