Global stability analysis and control law design for rumor propagation models

This study develops a compartmental dynamical model to elucidate rumor propagation mechanisms in social contact. The model categorizes individuals into three distinct groups: ignorant, spreaders, and wise individuals who can identify and counter misinformation. By introducing a standard incidence rate and two key reproduction numbers R w and R v , we establish a complete global stability analysis for all system equilibria. Our results uncover two fundamental mechanisms for rumor control: increasing R w induces a phase transition from rumor persistence to extinction, while reducing R v below a critical threshold can drive rumor collapse, albeit with a potential trade-off in wise individual density. Furthermore, we demonstrate that targeted interventions, including limiting contact between ignorant individuals and spreaders and enhancing fact-checking initiatives, can effectively suppress rumor dissemination. Notably, strengthening debunking capabilities not only curbs rumor spread but also amplifies the wise population, creating a positive feedback loop for sustainable rumor containment. These findings provide actionable strategies for mitigating the societal impact of misinformation. • Proposes a compartmental model with “Wise” individuals and key thresholds R w and R v , fully characterizing rumor dynamics. • A complete global stability analysis rigorously proves rumor extinction by steering R w and R v . • Targeted contact limits and fact-checking effectively suppress rumors and create a positive feedback loop for sustainable containment.

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Publication Details

Journal
Chaos Solitons & Fractals
Published
2026-03-05
DOI
https://doi.org/10.1016/j.chaos.2026.118161
Primary Topic
Opinion Dynamics and Social Influence
Type
article
Field-Weighted Citation Impact
0.00
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article

Global stability analysis and control law design for rumor propagation models

Yiping Tan, Weiguo Gao, Yongli Cai
Chaos Solitons & Fractals
Opinion Dynamics and Social Influence
article

Global stability analysis and control law design for rumor propagation models

Yiping Tan, Weiguo Gao, Yongli Cai
article en

Abstract

This study develops a compartmental dynamical model to elucidate rumor propagation mechanisms in social contact. The model categorizes individuals into three distinct groups: ignorant, spreaders, and wise individuals who can identify and counter misinformation. By introducing a standard incidence rate and two key reproduction numbers R w and R v , we establish a complete global stability analysis for all system equilibria. Our results uncover two fundamental mechanisms for rumor control: increasing R w induces a phase transition from rumor persistence to extinction, while reducing R v below a critical threshold can drive rumor collapse, albeit with a potential trade-off in wise individual density. Furthermore, we demonstrate that targeted interventions, including limiting contact between ignorant individuals and spreaders and enhancing fact-checking initiatives, can effectively suppress rumor dissemination. Notably, strengthening debunking capabilities not only curbs rumor spread but also amplifies the wise population, creating a positive feedback loop for sustainable rumor containment. These findings provide actionable strategies for mitigating the societal impact of misinformation. • Proposes a compartmental model with “Wise” individuals and key thresholds R w and R v , fully characterizing rumor dynamics. • A complete global stability analysis rigorously proves rumor extinction by steering R w and R v . • Targeted contact limits and fact-checking effectively suppress rumors and create a positive feedback loop for sustainable containment.

Chaos Solitons & FractalsVol. 208
Nantong University (CN), Huaiyin Normal University (CN)
Peace, Justice and strong institutions
Openalex Percentile: Top 34%
Opinion Dynamics and Social Influence
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