Social contagions on higher-order community networks

Jiachen Li, Wenjie Li, Feng Gao, Meng Cai, Zengping Zhang, Xiaoyang Liu and Wei Wang

Applied Mathematics and Computation, 2024, vol. 478, issue C

Abstract: Extensive real-world analysis has revealed that wide community structures and higher-order interactions can be captured by the higher-order community networks. However, the roles of the higher-order community networks in shaping social contagions are still lacking a systematic study of the strongly nonlinear characteristics of the dynamical system. We first propose a simplicial threshold model to describe the dynamics of social contagion on higher-order community networks and then provide a dimension-reduction approach to accurately and qualitatively describe the dynamical process. Both numerical analysis and theoretical results indicate that a hysteresis loop exists in the social contagion. The higher-order structural characteristic significantly reduces the gap between the threshold points. With the increase of higher-order interactions, the outbreak threshold in the network decreases. Furthermore, the stronger the community structure, the more it facilitates information spreading, demonstrating that enhancing community structure strength contributes to more efficient dissemination.

Keywords: Social contagion; Community structure; Higher-order networks; Dimension reduction (search for similar items in EconPapers)
Date: 2024
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:apmaco:v:478:y:2024:i:c:s0096300324002935

DOI: 10.1016/j.amc.2024.128832

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