Social Work

Higher-order non-Markovian social contagions in simplicial complexes

Z. Lin, L. Han, et al.

Discover a groundbreaking social contagion model by Zhaohua Lin, Lilei Han, Mi Feng, Ying Liu, and Ming Tang that integrates higher-order interactions with the intricacies of non-Markovian processes. This innovative research reveals insights into network resilience and the dynamics of infection spread, offering fresh perspectives on social behavior.

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Abstract

This paper introduces a higher-order non-Markovian social contagion model that considers both higher-order interactions and the non-Markovian nature of real-world spreading processes. Using a mean-field theory, the model's evolutionary dynamics are described, and simulation results show the theory accurately predicts the steady state. The study finds an equivalence between higher-order non-Markovian and Markovian social contagions and demonstrates that non-Markovian recovery enhances network resilience against infections.

Publisher

Communications Physics

Published On

Jun 01, 2024

Authors

Zhaohua Lin, Lilei Han, Mi Feng, Ying Liu, Ming Tang