Research on behavior model of rumor maker based on system dynamics

14Citations
Citations of this article
13Readers
Mendeley users who have this article in their library.

Abstract

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 stockflow 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 aremore pronounced than the factors of social and government on the impact of disinformation propensity score.

References Powered by Scopus

Socializing in emergencies - A review of the use of social media in emergency situations

381Citations
N/AReaders
Get full text

Factors Influencing Intentions and the Intention-Behavior Relation

225Citations
N/AReaders
Get full text

The basic psychology of rumor.

94Citations
N/AReaders
Get full text

Cited by Powered by Scopus

A complex path model for low-carbon sustainable development of enterprise based on system dynamics

57Citations
N/AReaders
Get full text

A game theory-based network rumor spreading model: based on game experiments

23Citations
N/AReaders
Get full text

Ising Model of User Behavior Decision in Network Rumor Propagation

16Citations
N/AReaders
Get full text

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Cite

CITATION STYLE

APA

Zhu, X., & Liu, F. (2017). Research on behavior model of rumor maker based on system dynamics. Complexity, 2017. https://doi.org/10.1155/2017/5094218

Readers' Seniority

Tooltip

PhD / Post grad / Masters / Doc 5

83%

Researcher 1

17%

Readers' Discipline

Tooltip

Social Sciences 3

43%

Computer Science 2

29%

Physics and Astronomy 1

14%

Engineering 1

14%

Save time finding and organizing research with Mendeley

Sign up for free