Research on public opinion guidance of converging media based on AHP and transmission dynamics

In the 5G era, media convergence and technological updates lead to tremendous changes in the dissemination of public opinion information. The guidance of public opinion in the converged media environment is a new research topic. Users participate in the discussion of different media, and flow in and...

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Autores principales:	Jinbao Song, Xiaoya Zhu
Formato:	article
Lenguaje:	EN
Publicado:	AIMS Press 2021
Materias:	analytic hierarchy process converged media dynamic model guidance of public opinion Biotechnology TP248.13-248.65 Mathematics QA1-939
Acceso en línea:	https://doaj.org/article/96037f7e82ff403d88b09657c245da60
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spelling	oai:doaj.org-article:96037f7e82ff403d88b09657c245da602021-11-23T01:15:17ZResearch on public opinion guidance of converging media based on AHP and transmission dynamics10.3934/mbe.20213411551-0018https://doaj.org/article/96037f7e82ff403d88b09657c245da602021-08-01T00:00:00Zhttps://www.aimspress.com/article/doi/10.3934/mbe.2021341?viewType=HTMLhttps://doaj.org/toc/1551-0018In the 5G era, media convergence and technological updates lead to tremendous changes in the dissemination of public opinion information. The guidance of public opinion in the converged media environment is a new research topic. Users participate in the discussion of different media, and flow in and out from different media, which gradually generate a new complex dynamics model of the dissemination of public opinion information. An index system for evaluating the influence of converged media communication that combines the advantages of traditional media and new media is constructed. We use AHP to determine the index weights in the evaluation system and conduct consistency tests. The final weight of each media is determined through the combination of subjective and objective methods, which provides data supports for later determining the participation of various media in the dissemination process of public opinion information. Based on the SIR model, a UCIR (unknown-contact-infected-recovered) dynamic model is established. The simulation results show that the root mean square error (RMSE) of the UCIR model is 31.6% lower than that of the SIR model. Finally, by fixing the key parameters α, β, θ, ε, p, q in the UCIR model, and changing only one of them, we studied the effect of the transition probability between different states on the process of public opinion information transmission, and then proposed corresponding guidance. In addition, from the two perspectives of network media and government, the countermeasures and suggestions for the guidance of public opinion are proposed. We try to solve the problems of humanities and social sciences with the method of natural science. These research results can provide theoretical and methodological support for people to understand the law of public opinion information transmission and establish a guiding mechanism for public opinion information transmission.Jinbao SongXiaoya ZhuAIMS Pressarticleanalytic hierarchy processconverged mediadynamic modelguidance of public opinionBiotechnologyTP248.13-248.65MathematicsQA1-939ENMathematical Biosciences and Engineering, Vol 18, Iss 5, Pp 6857-6886 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	analytic hierarchy process converged media dynamic model guidance of public opinion Biotechnology TP248.13-248.65 Mathematics QA1-939
spellingShingle	analytic hierarchy process converged media dynamic model guidance of public opinion Biotechnology TP248.13-248.65 Mathematics QA1-939 Jinbao Song Xiaoya Zhu Research on public opinion guidance of converging media based on AHP and transmission dynamics
description	In the 5G era, media convergence and technological updates lead to tremendous changes in the dissemination of public opinion information. The guidance of public opinion in the converged media environment is a new research topic. Users participate in the discussion of different media, and flow in and out from different media, which gradually generate a new complex dynamics model of the dissemination of public opinion information. An index system for evaluating the influence of converged media communication that combines the advantages of traditional media and new media is constructed. We use AHP to determine the index weights in the evaluation system and conduct consistency tests. The final weight of each media is determined through the combination of subjective and objective methods, which provides data supports for later determining the participation of various media in the dissemination process of public opinion information. Based on the SIR model, a UCIR (unknown-contact-infected-recovered) dynamic model is established. The simulation results show that the root mean square error (RMSE) of the UCIR model is 31.6% lower than that of the SIR model. Finally, by fixing the key parameters α, β, θ, ε, p, q in the UCIR model, and changing only one of them, we studied the effect of the transition probability between different states on the process of public opinion information transmission, and then proposed corresponding guidance. In addition, from the two perspectives of network media and government, the countermeasures and suggestions for the guidance of public opinion are proposed. We try to solve the problems of humanities and social sciences with the method of natural science. These research results can provide theoretical and methodological support for people to understand the law of public opinion information transmission and establish a guiding mechanism for public opinion information transmission.
format	article
author	Jinbao Song Xiaoya Zhu
author_facet	Jinbao Song Xiaoya Zhu
author_sort	Jinbao Song
title	Research on public opinion guidance of converging media based on AHP and transmission dynamics
title_short	Research on public opinion guidance of converging media based on AHP and transmission dynamics
title_full	Research on public opinion guidance of converging media based on AHP and transmission dynamics
title_fullStr	Research on public opinion guidance of converging media based on AHP and transmission dynamics
title_full_unstemmed	Research on public opinion guidance of converging media based on AHP and transmission dynamics
title_sort	research on public opinion guidance of converging media based on ahp and transmission dynamics
publisher	AIMS Press
publishDate	2021
url	https://doaj.org/article/96037f7e82ff403d88b09657c245da60
work_keys_str_mv	AT jinbaosong researchonpublicopinionguidanceofconvergingmediabasedonahpandtransmissiondynamics AT xiaoyazhu researchonpublicopinionguidanceofconvergingmediabasedonahpandtransmissiondynamics
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Research on public opinion guidance of converging media based on AHP and transmission dynamics

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