Coevolution of epidemic and infodemic on higher-order networks

Wenyao Li, Meng Cai, Xiaoni Zhong, Yanbing Liu, Tao Lin and Wei Wang

Chaos, Solitons & Fractals, 2023, vol. 168, issue C

Abstract: Gathering events, e.g., going to gyms and meetings, are ubiquitous and crucial in the spreading phenomena, which induce higher-order interactions, and thus can be described as higher-order networks. Previous studies on the coevolution of epidemic-infodemic dynamics ignored the higher-order interactions in the social system, which affects our understanding of the reality spreading. We propose a mathematical framework for the coevolution of epidemic and infodemic on higher-order networks described by simplicial complex, and introduce the Microscopic Markov Chain Approach (MMCA) and mean-field approach to establish the dynamic process. We study the coevolution mathematical model on both artificial simplicial complex and real-world higher-order networks and find that the higher-order interactions show a ’double-edged sword’ role in shaping epidemic size, which is dependent on the breakout of infodemic. Furthermore, the higher-order networks enrich the phase diagram, inducing the emergence of discontinuous phase transition, hysteresis loop region, double transition and inter-epidemic region.

Keywords: Higher-order networks; Simplicial complex; Epidemic-infodemic coevolution spreading (search for similar items in EconPapers)
Date: 2023
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Citations: View citations in EconPapers (6)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:chsofr:v:168:y:2023:i:c:s0960077923000036

DOI: 10.1016/j.chaos.2023.113102

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