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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Format: | Article |
Language: | English |
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Wiley
2017-01-01
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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. |
format | Article |
id | doaj-art-ed57e87763fc4ccaa765021527628822 |
institution | Kabale University |
issn | 1076-2787 1099-0526 |
language | English |
publishDate | 2017-01-01 |
publisher | Wiley |
record_format | Article |
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 |