Research on Behavior Model of Rumor Maker Based on System Dynamics

Laws of rumor makers’ behaviors are the root of curbing rumor and effective way to block rumor occurrence. Therefore, based on system dynamics model, this paper proposed the rumors behavior evolution model of rumor makers, aimed at discovering the laws of rumor makers’ behaviors to achieve rumors bl...

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Main Authors: Xiaoqian Zhu, Fengming Liu
Format: Article
Language:English
Published: Wiley 2017-01-01
Series:Complexity
Online Access:http://dx.doi.org/10.1155/2017/5094218
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author Xiaoqian Zhu
Fengming Liu
author_facet Xiaoqian Zhu
Fengming Liu
author_sort Xiaoqian Zhu
collection DOAJ
description Laws of rumor makers’ behaviors are the root of curbing rumor and effective way to block rumor occurrence. Therefore, based on system dynamics model, this paper proposed the rumors behavior evolution model of rumor makers, aimed at discovering the laws of rumor makers’ behaviors to achieve rumors blocking. First, by refining the driving factors in disinformation behavior, we constructed causal diagram of disinformation behavior evolution; secondly, by means of causal diagram, we constructed stock-flow diagram for quantitative analysis; finally, simulation experiment was carried out by using Vensim Personal Learning Edition software (Vensim PLE). The results showed that negative attitude is a major factor in the occurrence of disinformation behavior; personal factors are more pronounced than the factors of social and government on the impact of disinformation propensity score.
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institution Kabale University
issn 1076-2787
1099-0526
language English
publishDate 2017-01-01
publisher Wiley
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series Complexity
spelling doaj-art-ed57e87763fc4ccaa7650215276288222025-02-03T01:21:17ZengWileyComplexity1076-27871099-05262017-01-01201710.1155/2017/50942185094218Research on Behavior Model of Rumor Maker Based on System DynamicsXiaoqian Zhu0Fengming Liu1School of Management Science and Engineering, Shandong Normal University, Jinan 250014, ChinaSchool of Management Science and Engineering, Shandong Normal University, Jinan 250014, ChinaLaws of rumor makers’ behaviors are the root of curbing rumor and effective way to block rumor occurrence. Therefore, based on system dynamics model, this paper proposed the rumors behavior evolution model of rumor makers, aimed at discovering the laws of rumor makers’ behaviors to achieve rumors blocking. First, by refining the driving factors in disinformation behavior, we constructed causal diagram of disinformation behavior evolution; secondly, by means of causal diagram, we constructed stock-flow diagram for quantitative analysis; finally, simulation experiment was carried out by using Vensim Personal Learning Edition software (Vensim PLE). The results showed that negative attitude is a major factor in the occurrence of disinformation behavior; personal factors are more pronounced than the factors of social and government on the impact of disinformation propensity score.http://dx.doi.org/10.1155/2017/5094218
spellingShingle Xiaoqian Zhu
Fengming Liu
Research on Behavior Model of Rumor Maker Based on System Dynamics
Complexity
title Research on Behavior Model of Rumor Maker Based on System Dynamics
title_full Research on Behavior Model of Rumor Maker Based on System Dynamics
title_fullStr Research on Behavior Model of Rumor Maker Based on System Dynamics
title_full_unstemmed Research on Behavior Model of Rumor Maker Based on System Dynamics
title_short Research on Behavior Model of Rumor Maker Based on System Dynamics
title_sort research on behavior model of rumor maker based on system dynamics
url http://dx.doi.org/10.1155/2017/5094218
work_keys_str_mv AT xiaoqianzhu researchonbehaviormodelofrumormakerbasedonsystemdynamics
AT fengmingliu researchonbehaviormodelofrumormakerbasedonsystemdynamics