Modeling and analysis of rumor propagation in social networks

Yu, Zhenhua; Si, Lu; Wang, Dan; Li, Zhiwu

doi:10.1016/j.ins.2021.09.012

Cited by 69 publications

(23 citation statements)

References 33 publications

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“…The famous social six degrees of separation law shows that in the real world, the connection between two strangers can be established through only six people, but in the online world, the connection between people may not need six people. This further shows that the strong interactivity of social networks speeds up the transmission of rumors [1][2][3][4][5].…”

Section: Introductionmentioning

confidence: 76%

The Influence of Network Public Opinion on Audit Credibility: A Dynamic Rumor Propagation Model Based on User Weight

Zhu

Bai

2022

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Network public opinion is one of the factors that affects the credibility of audits, especially falsified network public opinion, which can easily result in the public losing trust in audits and may even impact the financial market. As users of social networks are not online 24 h a day, and their network behaviors are dynamic, in this study, we constructed a dynamic rumor-spreading model. Because the influence and authority of different user nodes in the network are different, we added user weights to the rumor propagation model, and finally, we established a dynamic rumor propagation model based on user weights. The experimental results showed that the rumor propagation model had a good monitoring effect, so it could help with managing the public opinion of audit institutions, maintaining the image of audit fairness and justice, and maintaining the stability of the capital market.

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Section: Introductionmentioning

confidence: 76%

The Influence of Network Public Opinion on Audit Credibility: A Dynamic Rumor Propagation Model Based on User Weight

Zhu

Bai

2022

Information

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“…We believe that the training of neural networks will be easier when the capability of computation is improved. The proposed method can be employed to study big data access control in social networks (Yu et al 2021a ; Yang et al 2020 ) and CoVID-19 (Yu et al 2021b , c , d ).…”

Section: Discussionmentioning

confidence: 99%

Improvement on PDP Evaluation Performance Based on Neural Networks and SGDK-means Algorithm

Fan

Song

et al. 2021

Soft Comput

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“…We use the next-generation approach [30] , [31] to calculate the basic reproductive number. The equations related to infection are the 3rd and the 4th in system (1) .…”

Section: Equilibria and Basic Reproductive Numbermentioning

confidence: 99%

The impact of vaccination on the spread of COVID-19: Studying by a mathematical model

Yang

Cai

2022

Physica A: Statistical Mechanics and its Applications

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The global spread of COVID-19 has not been effectively controlled, posing a huge threat to public health and the development of the global economy. Currently, a number of vaccines have been approved for use and vaccination campaigns have already started in several countries. This paper designs a mathematical model considering the impact of vaccination to study the spread dynamics of COVID-19. Some basic properties of the model are analyzed. The basic reproductive number of the model is obtained, and the conditions for the existence of endemic equilibria are provided. There exist two endemic equilibria when under certain conditions, which will lead to backward bifurcation. The stability of equilibria are analyzed, and the condition for the backward bifurcation is given. Due to the existence of backward bifurcation, even if , COVID-19 may remain prevalent. Sensitivity analysis and simulations show that improving vaccine efficacy can control the spread of COVID-19 faster, while increasing the vaccination rate can reduce and postpone the peak of infection to a greater extent. However, in reality, the improvement of vaccine efficacy cannot be realized in a short time, and relying only on increasing the vaccination rate cannot quickly achieve the control of COVID-19. Therefore, relying only on vaccination may not completely and quickly control COVID-19. Some non-pharmaceutical interventions should continue to be enforced to combat the virus. According to the sensitivity analysis, we improve the model by including some non-pharmaceutical interventions. Combining the sensitivity analysis with the simulation of the improved model, we conclude that together with vaccination, reducing the contact rate of people and increasing the isolation rate of infected individuals will greatly reduce the number of infections and shorten the time of COVID-19 spread. The analysis and simulations in this paper can provide some useful suggestions for the prevention and control of COVID-19.

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Modeling and analysis of rumor propagation in social networks

Cited by 69 publications

References 33 publications

The Influence of Network Public Opinion on Audit Credibility: A Dynamic Rumor Propagation Model Based on User Weight

The Influence of Network Public Opinion on Audit Credibility: A Dynamic Rumor Propagation Model Based on User Weight

Improvement on PDP Evaluation Performance Based on Neural Networks and SGDK-means Algorithm

The impact of vaccination on the spread of COVID-19: Studying by a mathematical model

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