Dynamic Mathematical Model of Information Spreading on News Platform

In recent years, the news platform has become the primary source of information for users. However, there are few studies on the news platform, especially for the analysis and modeling of the spreading process of information. This article models the dynamic process of information spreading on the ne...

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Autores principales:	Guohui Song, Yongbin Wang, Yugang Li
Formato:	article
Lenguaje:	EN
Publicado:	Hindawi-Wiley 2021
Materias:	Technology T Telecommunication TK5101-6720
Acceso en línea:	https://doaj.org/article/dae1f5ed47064001bf571481ab5f8dae
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spelling	oai:doaj.org-article:dae1f5ed47064001bf571481ab5f8dae2021-11-22T01:11:04ZDynamic Mathematical Model of Information Spreading on News Platform1530-867710.1155/2021/2174190https://doaj.org/article/dae1f5ed47064001bf571481ab5f8dae2021-01-01T00:00:00Zhttp://dx.doi.org/10.1155/2021/2174190https://doaj.org/toc/1530-8677In recent years, the news platform has become the primary source of information for users. However, there are few studies on the news platform, especially for the analysis and modeling of the spreading process of information. This article models the dynamic process of information spreading on the news platform. Firstly, we analyze the dynamic characteristics of user state and information value. Users of news platforms have two states, active and silent states, and users can switch between these two states. The information value determines the probability of user state conversion. We construct the mathematical model for the dynamic features of user state and information value considering these characteristics. Then, with appropriate parameter assumptions, simulation experiments are performed to analyze the regularity of information spreading. The results of the experiment show that the user’s reading speed 1/r and the conversion probability pα,β,t are important indicators that affect user state conversion. The lower reading speed and higher conversion probability can improve the transformation of the user state. Furthermore, we present some applications to promote information spreading, such as assessing the effectiveness of information spreading and controlling rumors on news platforms. Finally, we analyzed the effect of its information dissemination by taking Toutiao as an example and confirmed that the visibility and quality of information are important factors that affect information spreading. The experiments and analysis show that the dynamic mathematical model can reflect the information spreading in different situations with different parameters on the news platform.Guohui SongYongbin WangYugang LiHindawi-WileyarticleTechnologyTTelecommunicationTK5101-6720ENWireless Communications and Mobile Computing, Vol 2021 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Technology T Telecommunication TK5101-6720
spellingShingle	Technology T Telecommunication TK5101-6720 Guohui Song Yongbin Wang Yugang Li Dynamic Mathematical Model of Information Spreading on News Platform
description	In recent years, the news platform has become the primary source of information for users. However, there are few studies on the news platform, especially for the analysis and modeling of the spreading process of information. This article models the dynamic process of information spreading on the news platform. Firstly, we analyze the dynamic characteristics of user state and information value. Users of news platforms have two states, active and silent states, and users can switch between these two states. The information value determines the probability of user state conversion. We construct the mathematical model for the dynamic features of user state and information value considering these characteristics. Then, with appropriate parameter assumptions, simulation experiments are performed to analyze the regularity of information spreading. The results of the experiment show that the user’s reading speed 1/r and the conversion probability pα,β,t are important indicators that affect user state conversion. The lower reading speed and higher conversion probability can improve the transformation of the user state. Furthermore, we present some applications to promote information spreading, such as assessing the effectiveness of information spreading and controlling rumors on news platforms. Finally, we analyzed the effect of its information dissemination by taking Toutiao as an example and confirmed that the visibility and quality of information are important factors that affect information spreading. The experiments and analysis show that the dynamic mathematical model can reflect the information spreading in different situations with different parameters on the news platform.
format	article
author	Guohui Song Yongbin Wang Yugang Li
author_facet	Guohui Song Yongbin Wang Yugang Li
author_sort	Guohui Song
title	Dynamic Mathematical Model of Information Spreading on News Platform
title_short	Dynamic Mathematical Model of Information Spreading on News Platform
title_full	Dynamic Mathematical Model of Information Spreading on News Platform
title_fullStr	Dynamic Mathematical Model of Information Spreading on News Platform
title_full_unstemmed	Dynamic Mathematical Model of Information Spreading on News Platform
title_sort	dynamic mathematical model of information spreading on news platform
publisher	Hindawi-Wiley
publishDate	2021
url	https://doaj.org/article/dae1f5ed47064001bf571481ab5f8dae
work_keys_str_mv	AT guohuisong dynamicmathematicalmodelofinformationspreadingonnewsplatform AT yongbinwang dynamicmathematicalmodelofinformationspreadingonnewsplatform AT yugangli dynamicmathematicalmodelofinformationspreadingonnewsplatform
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Dynamic Mathematical Model of Information Spreading on News Platform

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