Interplay between epidemic spread and information diffusion on two-layered networks with partial mapping

Guo, Haili; Wang, Zhishuang; Sun, Shiwen; Xia, Chengyi

doi:10.1016/j.physleta.2021.127282

Cited by 32 publications

(6 citation statements)

References 20 publications

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“…The MMC algorithm was used to construct the kinetic equation of epidemic spreading, the epidemic threshold was calculated through the adjacency matrix, and the corresponding threshold between the nodes of the two layers of the model was analyzed. The experimental results showed that the nodes of the two layers of the network were significant [20]. Matsubara, Y. et al constructed the SPIKEM analytical model, which was used to test the speed of the spreading of the information as well as the degree of the audience and to investigate the existence of laws in the process of spreading.…”

Section: Introductionmentioning

confidence: 99%

Combining the Information Diffusion Model for the Propagation of Zhouyi Ideology in the New Era

2023

Applied Mathematics and Nonlinear Sciences

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This paper examines the moral edification ideas in Zhouyi and looks at the contemporary value of Zhouyi ideology and ideology. The UAU-SIS multiple network communication model is constructed, and the information radiation model between cyberspace and real space is proposed, which has a positive impact on the dissemination of Zhouyi ideology. The Master differential equation of the degree distribution of spatial topological structure is established to provide a basis for the dissemination of information related to Zhouyi ideology. Analyze the communication carriers of Zhouyi thought and improve the communication effect of Zhouyi thought in the new era by combining it with information diffusion technology. Simulation experiments are used to examine the feasibility and performance of the proposed algorithm. Investigate the influence of Zhouyi’s thought dissemination on citizens’ moral education consciousness. The experiment shows that the diffusion range of the algorithm is improved from 100 to 600 after 16 iterations, and the increased speed decreases to 4879.13s, the dissemination effect is better, and the algorithm is feasible. The scores of 6 evaluation indexes of students’ moral edification are 0.76, 0.93, 0.71, 0.63, 0.91, and 0.53. The overall level is good, and there is still room for improvement in the awareness of moral edification. It can be seen that the spread of Zhouyi thought has a beneficial effect on the citizens’ consciousness of moral enlightenment.

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Section: Introductionmentioning

confidence: 99%

Combining the Information Diffusion Model for the Propagation of Zhouyi Ideology in the New Era

2023

Applied Mathematics and Nonlinear Sciences

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“…Recent studies on the coupled awareness-epidemic dynamics usually used two asymmetrical networks to represent two spreading processes Wang et al [12]; Jia et al [13]; Guo et al [14]; Zhan et al [15]; Wang et al [16], Wang et al [17]. For example, Kabir et al [18] constructed a two-layer SIR-UA (susceptible-infected-recovered/ unaware-aware) model to study the interaction between physical contact and information diffusion on epidemic spreading.…”

Section: Introductionmentioning

confidence: 99%

Effects of individual heterogeneity and multi-type information on the coupled awareness-epidemic dynamics in multiplex networks

et al. 2022

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Awareness of epidemics can influence people’s behavior and further trigger changes in epidemic spreading. Previous studies concentrating on the coupled awareness-epidemic dynamics usually ignore the multi-type information and the heterogeneity of individuals. However, the real-world cases can be more complicated, and the interaction between information diffusion and epidemic spreading needs further study. In this article, we propose an individual-based epidemics and multi-type information spreading (IEMIS) model on two-layered multiplex networks considering positive and negative preventive information and two types of heterogeneity: 1) heterogeneity of aware individual’s state which leads to differences in aware transmission capacity and 2) heterogeneity of individual’s node degree which affects the epidemic infection rate. Based on Micro-Markov Chain approach (MMCA), we derive the theoretical epidemic threshold for the proposed model and validate the results by those obtained with Monto Carlo (MC) simulations. Through extensive simulations, we demonstrate that for epidemics with low infectivity, promoting the diffusion of positive preventive information, enhancing the importance ratio of neighbors who are aware of positive information, and increasing social distance among individuals can effectively suppress epidemic spreading. However, for highly infectious diseases, the influence of these factors becomes limited.

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“…[31][32][33][34][35][36][37][38] It is generally believed that social contagion is the expansion and application of biological contagion, and it is the research basis of social-biological coupling contagion. [39][40][41][42][43] For the convenience of description, what is transmitted in social contagions is called "behavior", and behavior spreading is an essential form of social contagions. The social reinforcement effect described in the classic linear threshold model is memoryless, where the adoption threshold is the number or proportion of neighbors in the adopted state.…”

Section: Introductionmentioning

confidence: 99%

Effects of heterogeneous adoption thresholds on contact-limited social contagions

Zhao

Peng²,

Peng

et al. 2022

Chinese Phys. B

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Limited contact capacity and heterogeneous adoption thresholds have been proven to be two essential characteristics of individuals in natural complex social systems, and their impacts on social contagions exhibit complex nature. With this in mind, a heterogeneous contact-limited threshold mode is proposed, which adopts one of four threshold distribution, namely Gaussian distribution, log-normal distribution, exponential distribution and power-law distribution. The heterogeneous edge-based compartmental theory is developed for theoretical analysis, and the calculation methods of the final adoption size and outbreak threshold are given theoretically. Many numerical simulations are performed on the ER and SF networks to study the impact of different forms of threshold distribution on hierarchical spreading process, the final adoption size, the outbreak threshold and the phase transition in contact-limited propagation networks. We find that the spreading process of social contagions is divided into three distinct stages. Moreover, different threshold distributions cause different spreading processes, especially for some threshold distributions, there is a change from a discontinuous first-order phase transition to a continuous second-order phase transition. Further, we find that changing the standard deviation of different threshold distributions will cause the final adoption size and outbreak threshold to change, and finally tend to be stable with the increase of standard deviation.

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Interplay between epidemic spread and information diffusion on two-layered networks with partial mapping

Cited by 32 publications

References 20 publications

Combining the Information Diffusion Model for the Propagation of Zhouyi Ideology in the New Era

Combining the Information Diffusion Model for the Propagation of Zhouyi Ideology in the New Era

Effects of individual heterogeneity and multi-type information on the coupled awareness-epidemic dynamics in multiplex networks

Effects of heterogeneous adoption thresholds on contact-limited social contagions

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