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An Opinion Interactive Model Based on Individual Persuasiveness
Joint Authors
Chen, Bin
Qiu, Xiaogang
Zhou, Xin
Liu, Liang
Ma, Liang
Source
Computational Intelligence and Neuroscience
Issue
Vol. 2015, Issue 2015 (31 Dec. 2015), pp.1-10, 10 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2015-10-05
Country of Publication
Egypt
No. of Pages
10
Main Subjects
Abstract EN
In order to study the formation process of group opinion in real life, we put forward a new opinion interactive model based on Deffuant model and its improved models in this paper because current models of opinion dynamics lack considering individual persuasiveness.
Our model has following advantages: firstly persuasiveness is added to individual’s attributes reflecting the importance of persuasiveness, which means that all the individuals are different from others; secondly probability is introduced in the course of interaction which simulates the uncertainty of interaction.
In Monte Carlo simulation experiments, sensitivity analysis including the influence of randomness, initial persuasiveness distribution, and number of individuals is studied at first; what comes next is that the range of common opinion based on the initial persuasiveness distribution can be predicted.
Simulation experiment results show that when the initial values of agents are fixed, no matter how many times independently replicated experiments, the common opinion will converge at a certain point; however the number of iterations will not always be the same; the range of common opinion can be predicted when initial distribution of opinion and persuasiveness are given.
As a result, this model can reflect and interpret some phenomena of opinion interaction in realistic society.
American Psychological Association (APA)
Zhou, Xin& Chen, Bin& Liu, Liang& Ma, Liang& Qiu, Xiaogang. 2015. An Opinion Interactive Model Based on Individual Persuasiveness. Computational Intelligence and Neuroscience،Vol. 2015, no. 2015, pp.1-10.
https://search.emarefa.net/detail/BIM-1057684
Modern Language Association (MLA)
Zhou, Xin…[et al.]. An Opinion Interactive Model Based on Individual Persuasiveness. Computational Intelligence and Neuroscience No. 2015 (2015), pp.1-10.
https://search.emarefa.net/detail/BIM-1057684
American Medical Association (AMA)
Zhou, Xin& Chen, Bin& Liu, Liang& Ma, Liang& Qiu, Xiaogang. An Opinion Interactive Model Based on Individual Persuasiveness. Computational Intelligence and Neuroscience. 2015. Vol. 2015, no. 2015, pp.1-10.
https://search.emarefa.net/detail/BIM-1057684
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1057684