Dynamic analysis of the rumor propagation model with consideration of the refutation mechanism and activity rate in multiplex networks

Liang’an Huo, Yuqing Zhang () and Yue Yu
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Liang’an Huo: Business School, University of Shanghai for Science and Technology, Shanghai 200093, P. R. China†School of Intelligent Emergency Management, University of Shanghai for Science and Technology, Shanghai 200093, P. R. China
Yuqing Zhang: Business School, University of Shanghai for Science and Technology, Shanghai 200093, P. R. China
Yue Yu: Business School, University of Shanghai for Science and Technology, Shanghai 200093, P. R. China

International Journal of Modern Physics C (IJMPC), 2024, vol. 35, issue 11, 1-18

Abstract: With the development of social networks, misinformation including rumors is spreading through multiple channels, which brings many negative effects to society. The government and several Nongovernmental Organizations (NGOs) use relevant rumor rebuttal tactics to control the spread of rumors to prevent these detrimental impacts. In this paper, we consider the responses of different individuals to rumors and classify individuals into three categories: active, normal and inactive, with different activity rates for the three categories. In order to study the interaction between rumor repudiation mechanisms and rumor propagation, we propose a rumor propagation model that considers global and local rumor repudiation mechanisms as well as activity rates in multiplex networks. The upper layer represents the rumor refutation information propagation and the lower layer expresses the rumor propagation. And mean-field equations describing the dynamics of this model in multiplex networks are derived. We found that the threshold of rumor propagation is significantly affected by individual activity rates. Another interesting finding is that the global rumor refutation mechanism suppresses rumor propagation more than the local disinformation mechanism.

Keywords: Rumor propagation; refutation mechanisms; multiplex networks; activity rates (search for similar items in EconPapers)
Date: 2024
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DOI: 10.1142/S0129183124501377

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