A multiple information model incorporating limited attention and information environment.

Rapid development of intelligent information equipment accelerates the expansion of mobile social network. Speed of information spreading is gradually growing, there are lots of changes in the scale and mode of information spreading. But the basic communication network is not developed and not matur...

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Autores principales:	Tong Chen, Ziqing Chen, Xuejun Jin
Formato:	article
Lenguaje:	EN
Publicado:	Public Library of Science (PLoS) 2021
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/9418517ff1e742aaa7e5934bcc183752
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spelling	oai:doaj.org-article:9418517ff1e742aaa7e5934bcc1837522021-12-02T20:17:14ZA multiple information model incorporating limited attention and information environment.1932-620310.1371/journal.pone.0257844https://doaj.org/article/9418517ff1e742aaa7e5934bcc1837522021-01-01T00:00:00Zhttps://doi.org/10.1371/journal.pone.0257844https://doaj.org/toc/1932-6203Rapid development of intelligent information equipment accelerates the expansion of mobile social network. Speed of information spreading is gradually growing, there are lots of changes in the scale and mode of information spreading. But the basic communication network is not developed and not mature, when online information platforms breakdown sometimes it happens to be when important information appears. Therefore, the research is done to solve these occasion problems, help network information platform filter hot news and discuss the reason that hot news exists longer than other news in the Internet. In this paper, a multiple information propagation model incorporating both local information environment and people's limited attention is proposed based on Susceptible Infected Recovered (SIR) model. Two new concepts are introduced into the model: heat rate and popular rate, to measure the local information influence power and people's limited attention to information respectively, which are key factors determining node state transformation instead of fixed probability. In order to analyze the influence from limited attention, a situation is designed that several pieces of information are popular successively. The theoretical analysis shows that the early popular information gets more attention than the later popular information, and more attention makes it easier to spread. Besides, numerical simulation is conducted in both uniform network and scale-free network. The simulation results show that the early popular information is less vulnerable to the increase of information acceptance threshold and more sensitive to the decrease of information rejection threshold than the later popular information. Moreover, the model can also be used in the case of large amount of information transmission without adding too much complexity. Reasons are given in the research that the top hot news exists very much longer than the other ones, and latter news which have same influence as top news are hard to get the same focus. Meanwhile, results in the research can provide some ways for the other researches in the related fields. They also help related information platforms to filter and push news and referable strategies to maintain hot news.Tong ChenZiqing ChenXuejun JinPublic Library of Science (PLoS)articleMedicineRScienceQENPLoS ONE, Vol 16, Iss 10, p e0257844 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Tong Chen Ziqing Chen Xuejun Jin A multiple information model incorporating limited attention and information environment.
description	Rapid development of intelligent information equipment accelerates the expansion of mobile social network. Speed of information spreading is gradually growing, there are lots of changes in the scale and mode of information spreading. But the basic communication network is not developed and not mature, when online information platforms breakdown sometimes it happens to be when important information appears. Therefore, the research is done to solve these occasion problems, help network information platform filter hot news and discuss the reason that hot news exists longer than other news in the Internet. In this paper, a multiple information propagation model incorporating both local information environment and people's limited attention is proposed based on Susceptible Infected Recovered (SIR) model. Two new concepts are introduced into the model: heat rate and popular rate, to measure the local information influence power and people's limited attention to information respectively, which are key factors determining node state transformation instead of fixed probability. In order to analyze the influence from limited attention, a situation is designed that several pieces of information are popular successively. The theoretical analysis shows that the early popular information gets more attention than the later popular information, and more attention makes it easier to spread. Besides, numerical simulation is conducted in both uniform network and scale-free network. The simulation results show that the early popular information is less vulnerable to the increase of information acceptance threshold and more sensitive to the decrease of information rejection threshold than the later popular information. Moreover, the model can also be used in the case of large amount of information transmission without adding too much complexity. Reasons are given in the research that the top hot news exists very much longer than the other ones, and latter news which have same influence as top news are hard to get the same focus. Meanwhile, results in the research can provide some ways for the other researches in the related fields. They also help related information platforms to filter and push news and referable strategies to maintain hot news.
format	article
author	Tong Chen Ziqing Chen Xuejun Jin
author_facet	Tong Chen Ziqing Chen Xuejun Jin
author_sort	Tong Chen
title	A multiple information model incorporating limited attention and information environment.
title_short	A multiple information model incorporating limited attention and information environment.
title_full	A multiple information model incorporating limited attention and information environment.
title_fullStr	A multiple information model incorporating limited attention and information environment.
title_full_unstemmed	A multiple information model incorporating limited attention and information environment.
title_sort	multiple information model incorporating limited attention and information environment.
publisher	Public Library of Science (PLoS)
publishDate	2021
url	https://doaj.org/article/9418517ff1e742aaa7e5934bcc183752
work_keys_str_mv	AT tongchen amultipleinformationmodelincorporatinglimitedattentionandinformationenvironment AT ziqingchen amultipleinformationmodelincorporatinglimitedattentionandinformationenvironment AT xuejunjin amultipleinformationmodelincorporatinglimitedattentionandinformationenvironment AT tongchen multipleinformationmodelincorporatinglimitedattentionandinformationenvironment AT ziqingchen multipleinformationmodelincorporatinglimitedattentionandinformationenvironment AT xuejunjin multipleinformationmodelincorporatinglimitedattentionandinformationenvironment
_version_	1718374419765657600

A multiple information model incorporating limited attention and information environment.

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