Multilayer networks with higher-order interaction reveal the impact of collective behavior on epidemic dynamics

Wan, Jinming; Ichinose, Genki; Small, Michael; Sayama, Hiroki; Moreno, Yamir; Cheng, Changqing

doi:10.1016/j.chaos.2022.112735

Cited by 16 publications

(4 citation statements)

References 53 publications

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“…The opinions expressed through social media might have contributed to anxiety, strengthened risk perceptions of the pandemic [41], and indirectly affected the perception of the safety of online-purchased food. Netizens (i.e., participants in social media platforms) engaged in online discussions about food safety and influenced the opinions and behavior of others, creating a herding effect [42] and spreading perceptions of food safety hazards associated with online purchases. The COVID-19 pandemic revealed the influence of social media platforms as a source of information relevant to consumer food purchase behavior.…”

Section: Social Media Effectmentioning

confidence: 99%

The Impact of Regional COVID-19 Outbreak on Consumers’ Risk Perception of Purchasing Food Online

2023

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This paper examines the perception of risk associated with the presence of coronavirus in food purchased online and online vs. offline food shopping during the COVID-19 epidemic. The influence of COVID-19 status on risk perception was tested using the data collected from 742 consumers between December 2021 and January 2022. The empirical approach distinguished between the epidemic’s status in a province (or region), city, and other areas of the country and applied the ordered logit technique. The regional and citywide epidemic increased the perception that online purchases carry the virus and are riskier than those made offline. Further examination showed that the regional/provincial epidemic created the perception that packaging or social media use were risk factors when purchasing food online. Heterogeneity analysis showed that risk perception was significantly higher in affected cities than in non-affected provinces or other provinces. Risk perception differed across five online food categories, with the highest levels for online-ordered meals and fresh products. Strengthening COVID-19 prevention and control in cities and the province, managing risk due to the handling of food purchased online, and government monitoring of social media use will lessen consumers’ risk perceptions and encourage the use of online food offers during epidemics.

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Section: Social Media Effectmentioning

confidence: 99%

The Impact of Regional COVID-19 Outbreak on Consumers’ Risk Perception of Purchasing Food Online

2023

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“…[34] The higher-order interactions in networks mainly include hypergraphs and simplicial complexes as well. [34,35] In Ref. [36], higher-order information on the base of the bounded confidence model was considered and it was found that different hypergraph structures can make individual opinion consensus change drastically.…”

Section: Introductionmentioning

confidence: 99%

Opinion consensus incorporating higher-order interactions in individual-collective networks

Ye 叶,

Tu 涂,

Wang 王

et al. 2024

Chinese Phys. B

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In the current information society, researches on the dissemination mechanisms and evolution laws of individual or collective opinions and their behaviors is one of the hot topics in the field of opinion dynamics. First, in this paper, we construct a two-layer network consisting of an individual-opinion layer and a collective-opinion layer, and propose a dissemination model of opinions incorporating higher-order interactions (i.e. OIHOI dissemination model). Furthermore, the dynamic equations of opinion dissemination for both individuals and groups are presented. Using Lyapunov's first method, some theoretical analysis of two equilibrium points, including the negative consensus point and positive consensus point, of the dynamic equations obtained for opinion dissemination, are conducted. In addition, for individual and collective opinions, some conditions to reach negative consensus and positive consensus and a theoretical expression for the dissemination threshold are put forward. Numerical simulations are carried to verify the feasibility and effectiveness of the proposed theoretical results, as well as the influence of the intra-structure, inter-connections, and higher-order interactions on the dissemination and evolution of individual opinions. The main results are as follows. (i) When the intra-structure of the collective-opinion layer meets certain characteristics, then reaching a negative or positive consensus is easier for individuals. (ii) Both negative and positive consensus perform best for mixed types of inter-connections in the two-layer network. (iii) Higher-order interactions can quickly eliminate differences among individual opinions, thereby enabling individuals to reach consensus faster.

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“…By contrast, simplicial complexes expand the scope of EGT by incorporating higher-order interactions [46][47][48][49], enabling the analysis of collective strategies adopted by various groups. As a comprehensive model that includes both pairwise and higher-order interactions [50][51][52], simplicial complexes effectively integrate various types of interactions, particularly those within groups, into the structure of social networks.…”

Section: Introductionmentioning

confidence: 99%

Social norms and cooperation in higher-order networks

Ma,

Jiang,

Fang

et al. 2024

Proc. R. Soc. A.

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Recent research has been focused on understanding how cooperation is fostered through various mechanisms in cognitive settings, particularly through pairwise interactions. However, real-world interactions often extend beyond simple dyads, including multiple cliques with both pairwise and higher-order interactions. These complex interactions influence how individuals perceive and adapt their strategies based on social norms. We here introduce a model that explores the evolution of collective strategies and social norms within a heterogeneous environment, encompassing both dyadic and three-body interactions. We find that social norms play a crucial role in promoting cooperation in comparison with simply imitating the most successful neighbour. We also show that the rise of prosocial norms leads to increased cooperation across various social dilemmas, often resulting in shifts from defective to cooperative behaviour. Additionally, we observe that a moderate level of information privacy helps sustaining prosocial norms and curtails antisocial tendencies, even in situations where mutual defection might seem advantageous. Our research thus offers insights into the evolution of cooperation through the lens of social norm diffusion in higher-order networks.

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Multilayer networks with higher-order interaction reveal the impact of collective behavior on epidemic dynamics

Cited by 16 publications

References 53 publications

The Impact of Regional COVID-19 Outbreak on Consumers’ Risk Perception of Purchasing Food Online

The Impact of Regional COVID-19 Outbreak on Consumers’ Risk Perception of Purchasing Food Online

Opinion consensus incorporating higher-order interactions in individual-collective networks

Social norms and cooperation in higher-order networks

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