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A dynamics-based model of multi-state rumor propagation with triple identities
Zhiqiang Su1, Ailian Wang2, Xuyang Gao1
1College of Computer Science and Technology (College of Data Science), Taiyuan University of Technology, Taiyuan, 030024, China.
Scientific Reports
|November 12, 2025
Summary
This study introduces a new model to understand rumor spreading dynamics in social networks. Effective rumor controllers significantly slow down propagation, aiding crisis management.
Area of Science:
- Social Network Analysis
- Information Dynamics
- Computational Social Science
Background:
- Rumor spreading is a significant issue in social networks, impacting public order.
- Understanding the complex dynamics of rumor propagation is crucial for social stability.
Purpose of the Study:
- To propose a novel dynamics-based multi-state rumor propagation model with triple identities.
- To analyze the influence of individual roles and network structures on rumor dynamics.
- To evaluate the effectiveness of rumor control strategies.
Main Methods:
- Developed a multi-state rumor propagation model incorporating distinct individual identities (publishers, controllers, participants).
- Utilized differential equations to describe individual state transitions (susceptible, latent, ignorant, malicious).
- Conducted simulation experiments on real social network data.
Main Results:
- Individual identity and network structure significantly influence rumor spreading patterns.
- Rumor controllers effectively mitigate the speed and scope of rumor propagation.
- Dynamic state transitions, including to malicious propagator status, were observed.
Conclusions:
- The proposed model provides a theoretical framework for understanding rumor spreading mechanisms.
- Effective rumor control strategies are vital for managing information crises in social networks.
- Offers insights for public crisis management utilizing social network analysis.
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