The evolutionary mechanism of information negentropy spurred by emergencies

In the context of social system resilience, the role of information negentropy-a measure of order and structural stability-remains underexplored during emergencies. This study investigates the evolutionary mechanisms of information negentropy under crisis conditions, aiming to quantify how emergencies disrupt and reshape social order through dual internal and external feedback. By integrating dissipative structure theory with a dynamic differential equation model, we propose a novel framework that captures the interplay between entropy increase and negentropy production. The model incorporates internal system dynamics (parameterized by [Formula: see text]) and external behavioral influences (parameterized by [Formula: see text]), simulating how crises trigger transitions in social systems via "double-S" or "multi-S" evolutionary trajectories. Empirical validation using Baidu Index data from five brand-related public opinion crises demonstrates the model's predictive accuracy, revealing that high-quality information dissemination and coordinated public behavior significantly amplify negentropy accumulation. Key findings indicate that emergencies elevate the upper limit of information negentropy by a factor of [Formula: see text], enabling systemic upgrades rather than mere disorder suppression. This study advances crisis management strategies by emphasizing proactive negentropy activation, offering actionable insights for enhancing social adaptability through real-time monitoring and parameter optimization. This work bridges theoretical gaps in entropy-driven social dynamics and provides a computational toolset for fostering resilience in complex information ecosystems.

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Publication Details

Journal
Scientific Reports
Published
2025-08-29
DOI
https://doi.org/10.1038/s41598-025-17458-4
Citations
1
Primary Topic
Complex Network Analysis Techniques
Type
article
Field-Weighted Citation Impact
1.32

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article

The evolutionary mechanism of information negentropy spurred by emergencies

Yixue Xia, Yixin Liu, Yuexin Lan
1 citations
Scientific Reports
Complex Network Analysis Techniques
1.32
article

The evolutionary mechanism of information negentropy spurred by emergencies

Yixue Xia, Yixin Liu, Yuexin Lan
article en
1 citations

Abstract

In the context of social system resilience, the role of information negentropy-a measure of order and structural stability-remains underexplored during emergencies. This study investigates the evolutionary mechanisms of information negentropy under crisis conditions, aiming to quantify how emergencies disrupt and reshape social order through dual internal and external feedback. By integrating dissipative structure theory with a dynamic differential equation model, we propose a novel framework that captures the interplay between entropy increase and negentropy production. The model incorporates internal system dynamics (parameterized by [Formula: see text]) and external behavioral influences (parameterized by [Formula: see text]), simulating how crises trigger transitions in social systems via "double-S" or "multi-S" evolutionary trajectories. Empirical validation using Baidu Index data from five brand-related public opinion crises demonstrates the model's predictive accuracy, revealing that high-quality information dissemination and coordinated public behavior significantly amplify negentropy accumulation. Key findings indicate that emergencies elevate the upper limit of information negentropy by a factor of [Formula: see text], enabling systemic upgrades rather than mere disorder suppression. This study advances crisis management strategies by emphasizing proactive negentropy activation, offering actionable insights for enhancing social adaptability through real-time monitoring and parameter optimization. This work bridges theoretical gaps in entropy-driven social dynamics and provides a computational toolset for fostering resilience in complex information ecosystems.

Scientific ReportsVol. 15(1)
China People's Police University (CN)
National Office for Philosophy and Social Sciences, National Social Science Fund of China
Openalex Percentile: Top 16%
Complex Network Analysis Techniques
1.32
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The evolutionary mechanism of information negentropy spurred by emergencies — Yixue Xia, Yixin Liu, et al. · Scientific Reports (2025) | TGRS Research Map | TGRS