Adaptive regulation effectively mitigates the spread of rumors

doi:10.1088/1674-1056/adbee3

Abstract Regulation plays a pivotal role in mitigating the spread of rumors, serving as a vital tool for maintaining social stability and facilitating its evolution. A central challenge lies in establishing an effective regulatory framework despite limited resources available for combating rumor propagation. To address this challenge, this paper proposes a dynamic and adaptive regulatory system. First, based on observed regulatory patterns in real-world social networks, the rumor propagation process is divided into two distinct phases: regulation and intervention. Regulatory intensity is introduced as an indicator of user state transitions. Unlike traditional, non-adaptive regulatory models that allocate costs uniformly, the adaptive model facilitates flexible cost distribution through a manageable individual regulatory intensity. Moreover, by introducing adaptive strength, the two cost allocation models are integrated within a unified framework, leading to the development of a dynamic model for rumor suppression. Finally, simulation experiments on Barabási-Albert (BA) networks demonstrate that the adaptive regulatory mechanism significantly reduces both the scope and duration of rumor propagation. Furthermore, when traditional non-adaptive regulatory models show limited effectiveness, the adaptive model effectively curbs rumor propagation by optimizing cost allocation between regulatory and intervention processes, and by adjusting per-unit cost benefit differentials.

Keywords: rumor suppression adaptive regulation social network propagation dynamics

Received: 07 January 2025
Revised: 20 February 2025
Accepted manuscript online: 11 March 2025

PACS:	87.23.Ge	(Dynamics of social systems)
	89.20.-a	(Interdisciplinary applications of physics)
	89.70.-a	(Information and communication theory)
	89.75.-k	(Complex systems)

Fund: Project supported by the National Natural Science Foundation of China (Grant Nos. 62266030 and 61863025).

Corresponding Authors: Fu-Zhong Nian
E-mail: gdnfz@lut.edu.cn

Cite this article:

Fu-Zhong Nian(年福忠), Zhen Wang(王震), and Yi Jia(贾怡) Adaptive regulation effectively mitigates the spread of rumors 2025 Chin. Phys. B 34 068703

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Adaptive regulation effectively mitigates the spread of rumors

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