A Prospective Method for the Dynamic Transformation of Structural Balance in Fully Signed Networks

Entropy 2026 Open access

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Authors: Zhanyong Jiao, Jiarui Fan, Ruochen Zhang, Dinghan Duan
DOI: 10.3390/e28010085
Cited by: 0

Abstract

Structural balance in fully signed networks, integrating both individual attributes and relationships, represents a critical challenge in social computing; however, its dynamic transformation remains underexplored. This study extends structural balance theory by incorporating node attributes and formulating a mathematical framework for optimizing balance dynamics in fully signed networks. A memetic algorithm is designed to achieve structural balance with minimal cost. Evaluations on both synthetic and real-world networks demonstrate the proposed method's effectiveness, efficiency, and social interpretability.

Fields of Study & Subjects

Complex Network Analysis Techniques Opinion Dynamics and Social Influence Social Power and Status Dynamics

Publication details

Journal / source
Entropy
Volume
28
Issue
1
Pages
85–85
Publication date
11 January 2026
Language
EN