2021
DOI: 10.23919/csms.2021.0008
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Public Opinion Dissemination with Incomplete Information on Social Network: A Study Based on the Infectious Diseases Model and Game Theory

Abstract: Given the fragmentation of public opinion dissemination and the lag of network users' cognition, the paper analyzes public opinion dissemination with incomplete information, which can provide reference for us to control and guide the spread of public opinion. Based on the derivative and secondary radiation of public opinion dissemination with incomplete information, the Susceptible-Susceptible-Infected-Recovered-Recovered-Infected (SSIR R-I ) model is proposed. Given the interaction between users, the Deffuant… Show more

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Cited by 26 publications
(15 citation statements)
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“…Summarizing the characteristics of social opinion from different perspectives of social opinion dissemination, it can be divided into two aspects: one is from the perspective of the subject, including two types; one is the information publisher and the other is the information receiver; the other is from the perspective of the object [20], also including two types, one is the published information and the other is the information dissemination medium.…”
Section: Social Opinion Disseminationmentioning
confidence: 99%
“…Summarizing the characteristics of social opinion from different perspectives of social opinion dissemination, it can be divided into two aspects: one is from the perspective of the subject, including two types; one is the information publisher and the other is the information receiver; the other is from the perspective of the object [20], also including two types, one is the published information and the other is the information dissemination medium.…”
Section: Social Opinion Disseminationmentioning
confidence: 99%
“…e value of c i can re ect the importance of node i. [26]. e number of nodes in di erent states of a power system should be accommodated at the t-th virus propagation.…”
Section: Graph Representation Of a Power Systemmentioning
confidence: 99%
“…ERL has demonstrated its performance advantages in many scheduling problems [25,26] . For example, in the field of job shop scheduling, most problems are solved by heuristic algorithms [27][28][29] .…”
Section: Erl For Scheduling Problemsmentioning
confidence: 99%