https://doi.org/10.1140/epjb/s10051-024-00668-6
Regular Article – Statistical and Nonlinear Physics
Social contagions with information sensitivity in complex networks
1
Jiyuan Vocational and Technical College, 459000, Jiyuan, People’s Republic of China
2
School of Physics and Electronic Science, East China Normal University, 200241, Shanghai, People’s Republic of China
3
School of Computer Science, Southwest Petroleum University, 610500, Chengdu, People’s Republic of China
b
tangminghan007@gmail.com
c
shinningliu@163.com
Received:
24
January
2024
Accepted:
6
March
2024
Published online:
1
April
2024
The behavior adoption is a complex social contagion process where non-redundancy and social reinforcement are at work in the transmission of behavioral information. While individual’s attitude toward the behavior information remarkably affects the behavior spreading dynamics in real world, its influence in social contagions has not been fully explored. To this end, we propose a behavior information spreading model with both information sensitivity and social reinforcement, where the information sensitivity represents the degree to which an individual is interested in the behavior. In the process of information spreading, whether an individual accepts or adopts a behavior is affected by the information transmission rate, information sensitivity and social reinforcement. To understand the contagion dynamics of this model, we develop a heterogeneous edge-based compartmental theory. We find that the acceleration of the rate of behavior adoption and the improvement of the scope of behavior adoption can be achieved by increasing either the information transmission rate, information sensitivity or social reinforcement. In ER networks, by changing the values of transmission rate, information sensitivity and social reinforcement, the type of phase transition of the final adopted size can be transformed between continuous and discontinuous. In BA networks, under different values of transmission rate, information sensitivity and social reinforcement, the final adopted size is continuously increasing.
Graphical Abstract: The dependence of the final fraction of adopted individuals on both transmission rate and social reinforcement
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© The Author(s), under exclusive licence to EDP Sciences, SIF and Springer-Verlag GmbH Germany, part of Springer Nature 2024. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.
