The spread of misinformation on social media is inextricably related to each user’s forwarding habits. In this paper, given that users have heterogeneous forwarding probabilities to their neighbors with varied relationships when they receive misinformation, we present a novel ignorant-spreader-refractory (ISR) spreading model with heterogeneous spreading rates on activity-driven networks with various types of links that encode these differential relationships. More exactly, in this model, the same type of links has an identical spreading rate, while different types of links have distinct ones. Using a mean-field approach and Monte Carlo simulations, we investigate how the heterogeneity of spreading rates affects the outbreak threshold and final prevalence of misinformation. It is demonstrated that the heterogeneity of spreading rates has no effect on the threshold when the type of link follows a uniform distribution. However, it has a significant impact on the threshold for non-uniform distributions. For example, the heterogeneity of spreading rates increases the threshold for normal distribution while it lowers the threshold for an exponent distribution. In comparison to the situation of a homogeneous spreading rate, whether the heterogeneity of spreading rates improves or decreases the final prevalence of misinformation is also determined by the distributions of the type of links.
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October 2024
Research Article|
October 01 2024
Misinformation spreading on activity-driven networks with heterogeneous spreading rates
Yongwang Gong
;
Yongwang Gong
a)
(Investigation, Methodology, Validation, Writing – original draft, Writing – review & editing)
1
School of Information Engineering, Yancheng Institute of Technology
, Yancheng 224051, China
a)Author to whom correspondence should be addressed: gong_yw@126.com
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Michael Small
Michael Small
(Methodology, Supervision, Writing – review & editing)
2
Complex Systems Group, Department of Mathematics and Statistics, The University of Western Australia
, Perth 6009, Australia
3
Mineral Resources, CSIRO
, Kensington 6151, Australia
Search for other works by this author on:
a)Author to whom correspondence should be addressed: gong_yw@126.com
Chaos 34, 103105 (2024)
Article history
Received:
June 26 2024
Accepted:
September 09 2024
Citation
Yongwang Gong, Michael Small; Misinformation spreading on activity-driven networks with heterogeneous spreading rates. Chaos 1 October 2024; 34 (10): 103105. https://doi.org/10.1063/5.0225731
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