A model of RD-IHSAT rumor dissemination based on coupling network

To explore the spread of rumors in social network, based on the principles of coupling network, the model of RD-IHSAT was established on Barabási-Albert (BA) scale free network and Watts-Strogatz (WS) small world network.The classic model of SIR was optimized, by combining it with three concerns, th...

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Main Authors: Yishi HAN, Yuxin XU, Tiantian LU
Format: Article
Language:zho
Published: Beijing Xintong Media Co., Ltd 2023-02-01
Series:Dianxin kexue
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Online Access:http://www.telecomsci.com/thesisDetails#10.11959/j.issn.1000-0801.2023023
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author Yishi HAN
Yuxin XU
Tiantian LU
author_facet Yishi HAN
Yuxin XU
Tiantian LU
author_sort Yishi HAN
collection DOAJ
description To explore the spread of rumors in social network, based on the principles of coupling network, the model of RD-IHSAT was established on Barabási-Albert (BA) scale free network and Watts-Strogatz (WS) small world network.The classic model of SIR was optimized, by combining it with three concerns, the interest decay, the social consensus and the spiral of silence effect, and adding four roles, hesitated, adherent, reticent and debunker.Results of numerical simulations are as follows: an information outbreak can be triggered by coupling network, not only the spreading speed but the scale as well; the dissemination can be markedly suppressed when the probability of rumor-refuting for the hesitated and spreaders arises; the chances of transition from spreaders to adherents drop; increasing the proportion of silent groups is a key part of curbing the spread of rumors; the control of the time lag in refuting rumors will greatly affect the effect of refuting rumors.
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language zho
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publisher Beijing Xintong Media Co., Ltd
record_format Article
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spelling doaj-art-1de49af3c5954eefb7acee8325ba09792025-08-20T02:09:18ZzhoBeijing Xintong Media Co., LtdDianxin kexue1000-08012023-02-013911813159570826A model of RD-IHSAT rumor dissemination based on coupling networkYishi HANYuxin XUTiantian LUTo explore the spread of rumors in social network, based on the principles of coupling network, the model of RD-IHSAT was established on Barabási-Albert (BA) scale free network and Watts-Strogatz (WS) small world network.The classic model of SIR was optimized, by combining it with three concerns, the interest decay, the social consensus and the spiral of silence effect, and adding four roles, hesitated, adherent, reticent and debunker.Results of numerical simulations are as follows: an information outbreak can be triggered by coupling network, not only the spreading speed but the scale as well; the dissemination can be markedly suppressed when the probability of rumor-refuting for the hesitated and spreaders arises; the chances of transition from spreaders to adherents drop; increasing the proportion of silent groups is a key part of curbing the spread of rumors; the control of the time lag in refuting rumors will greatly affect the effect of refuting rumors.http://www.telecomsci.com/thesisDetails#10.11959/j.issn.1000-0801.2023023rumor dissemination;coupling network;interest decay;social consensus;spiral of silence;model of RD-IHSAT
spellingShingle Yishi HAN
Yuxin XU
Tiantian LU
A model of RD-IHSAT rumor dissemination based on coupling network
Dianxin kexue
rumor dissemination;coupling network;interest decay;social consensus;spiral of silence;model of RD-IHSAT
title A model of RD-IHSAT rumor dissemination based on coupling network
title_full A model of RD-IHSAT rumor dissemination based on coupling network
title_fullStr A model of RD-IHSAT rumor dissemination based on coupling network
title_full_unstemmed A model of RD-IHSAT rumor dissemination based on coupling network
title_short A model of RD-IHSAT rumor dissemination based on coupling network
title_sort model of rd ihsat rumor dissemination based on coupling network
topic rumor dissemination;coupling network;interest decay;social consensus;spiral of silence;model of RD-IHSAT
url http://www.telecomsci.com/thesisDetails#10.11959/j.issn.1000-0801.2023023
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AT yishihan modelofrdihsatrumordisseminationbasedoncouplingnetwork
AT yuxinxu modelofrdihsatrumordisseminationbasedoncouplingnetwork
AT tiantianlu modelofrdihsatrumordisseminationbasedoncouplingnetwork