Dual Impact of Information Complexity and Individual Characteristics on Information and Disease Propagation

Yaqiong Wang, Jinyi Sun and Zhanxin Ma ()
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Yaqiong Wang: School of Finance, Shanghai University of Finance and Economics, Shanghai 200090, China
Jinyi Sun: Business School, University of New South Wales, Kensington, NSW 2052, Australia
Zhanxin Ma: China Institute of FTZ Supply Chain, Shanghai Maritime University, Shanghai 201306, China

Mathematics, 2025, vol. 13, issue 12, 1-18

Abstract: With frequent interactions between social media platforms, the dissemination of information and the interaction of opinions on the internet have become increasingly complex and diverse. This increase in information complexity not only affects the formation of public opinion but may also exacerbate the spread of diseases. Based on multilayer complex networks and combined with the Deffuant-I model, this paper explores the dual impact of information complexity and individual characteristics on both information and disease propagation. Through systematic simulation experiments, this paper analyzes the mechanisms of information complexity, individual compromise, and cognitive ability in the evolution of propagation. This study shows that the interactive effects of individual characteristics and information complexity have a significant impact on disease spread. This research not only provides a new theoretical perspective for understanding complex information dissemination but also offers valuable insights for public policymakers in promoting social harmony and addressing public health emergencies.

Keywords: multilayer evolutionary model; individual characteristics; pinion interaction; dynamic propagation (search for similar items in EconPapers)
JEL-codes: C (search for similar items in EconPapers)
Date: 2025
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