A Class of Public Opinion Dissemination Model considering the Information Screening Mechanism | Zendy

Suyalatu Dong | Zendy

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A Class of Public Opinion Dissemination Model considering the Information Screening Mechanism

Author(s) -

Suyalatu Dong

Publication year - 2021

Publication title -

security and communication networks

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.446

H-Index - 43

eISSN - 1939-0114

pISSN - 1939-0122

DOI - 10.1155/2021/6342976

Subject(s) - computer science , mechanism (biology) , public opinion , dissemination , information dissemination , set (abstract data type) , class (philosophy) , data science , artificial intelligence , world wide web , telecommunications , political science , law , philosophy , epistemology , politics , programming language

This paper introduces an information screening mechanism based on the general SEIR model of public opinion dissemination in complex networks. Specifically, networks users screen the information disseminated in complex networks based on their knowledge reserve, life experience, and personal preferences. This screening mechanism filters the public opinion disseminated. Based on the quantitative analysis of this mechanism, we establish a new SEIR model of public opinion dissemination in complex networks. The simulation results on the Facebook network data set provide theoretical guidance for the formulation of effective public opinion suppression strategies.

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