Part of the book series:Lecture Notes in Computer Science ((LNISA,volume 8210))
Included in the following conference series:
1238Accesses
Abstract
This paper proposes a dominant-submissive agent model on bounded confidence opinion dynamics under an emergency environment. In the proposed model, environmental noises and opinion leaders are involved in the collective opinion formation. A series of computer simulations demonstrate that environmental noises have a great impact on the collective opinion evolution. The interactions among individuals are strengthened as the variances of the environmental noises increase, and then a global group behavior emerge with a higher probability. On the other hand, the influence of opinion leaders on the collective opinion dynamics is limited. Firstly, when the fraction of opinion leaders is fixed in the social network, the number of agents following the opinion leaders decreases as the variance of the environmental noise exceeds a certain threshold. Secondly, the number of agents following the opinion leaders does not change obviously as the fraction of opinion leaders increases under a constant noisy environment.
This is a preview of subscription content,log in via an institution to check access.
Access this chapter
Subscribe and save
- Get 10 units per month
- Download Article/Chapter or eBook
- 1 Unit = 1 Article or 1 Chapter
- Cancel anytime
Buy Now
- Chapter
- JPY 3498
- Price includes VAT (Japan)
- eBook
- JPY 5719
- Price includes VAT (Japan)
- Softcover Book
- JPY 7149
- Price includes VAT (Japan)
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
Similar content being viewed by others
References
Boccalettl, S., Latora, V., Moreno, Y., Chavez, M., Hwang, D.-U.: Complex networks: structure and dynamics. Physics Reports 424, 175–308 (2006)
Castellano, C., Vilone, D., Vespignani, A.: Incomplete ordering of the voter model on small-world networks. Europhysics Letters 63(1), 153–158 (2003)
Bartolozzi, M., Leinweber, B., Thomas, A.W.: Stochastic Opinion Formation in Scale-Free Networks. Physical Review E 72, 046113 (2005)
Sood, V., Redner, S.: Voter Model on Heterogeneous Graphs. Phys. Rev. Lett. 94, 178701 (2005)
Lambiotte, R., Ausloos, M., Holyst, J.: Majority Model on a network with communities. Phys. Rev. E 75, 030101 (2007)
Gabbay, M.: The effects of nonlinear interactions and network structure in small group opinion dynamics. Physica A: Statistical Mechanics and its Applications 378(1), 118–126 (2007)
Galam, S.: Heterogeneous beliefs, segregation, and extremism in the making of public opinions. Phys. Rev. E 71, 046123 (2005)
Deffuant, G., Amblard, F., Weisbuch, G., Faure, T.: How can extremism prevail? A study based on the relative agreement interaction model. Journal of Artificial Societies and Social Simulation 5(4), 1–10 (2002)
Couzin, I.D., Krause, J., Franks, N.R., Levin, S.A.: Effective leadership and decision-making in animal groups on the move. Nature 433(2), 513–516 (2005)
Valente, T.W., Pumpuang, P.: Identifying Opinion Leaders to Promote Behavior Change. Health Education & Behavior 34(6), 881–896 (2006)
Afshar, M., Asadpour, M.: Opinion Formation by Informed Agents. Journal of Artificial Societies and Social Simulation 13, 5 (2010)
Deffuant, G., Neau, D., Amblard, F., Weisbuch, G.: Mixing beliefs among interacting agents. Adv. Complex Sys. 3, 87–98 (2000)
Krause, U.: A discrete nonlinear and non-autonomous model of consensus formation. In: Proc. Commun. Difference Equations, pp. 227–236 (2000)
Hegselmann, R., Krause, U.: Opinion dynamics and bounded confidence: models, analysis and simulation. Jr. of Art. Soc. and Social Simulation 5, 1–33 (2002)
Lorenz, J.: Continuous opinion dynamics under bounded confidence: a survey. Int. Journal of Modern Physics C 18, 1819–1838 (2007)
Lorenz, J.: Consensus strikes back in the Hegselmann-Krause model of continuous opinion dynamics under bounded confidence. Journal of Artificial Societies and Social Simulation 9, 8 (2006)
Lorenz, J.: Heterogeneous bounds of confidence: Meet, discuss and find consensus! Complexity 4, 43–52 (2010)
Kou, G., Zhao, Y.Y., Peng, Y., Shi, Y.: Multi-level opinion dynamics under bounded confidence. PLoS One 7(9), e43507 (2012), doi:10.1371/journal.pone.0043507
Peng, Y., Kou, G., Shi, Y., Chen, Z.: A Descriptive Framework for the Field of Data Mining and Knowledge Discovery. International Journal of Information Technology & Decision Making 7(4), 639–682 (2008)
Author information
Authors and Affiliations
School of Management and Economics, University of Electronic Science and Technology of China, Chengdu, 610054, China
Yiyi Zhao & Yi Peng
- Yiyi Zhao
You can also search for this author inPubMed Google Scholar
- Yi Peng
You can also search for this author inPubMed Google Scholar
Editor information
Editors and Affiliations
Graduate School of Information Science and Technology, Hokkaido University, N-14 W-9, 060-0814, Sapporo, Japan
Tetsuya Yoshida
Southwestern University of Finance and Economics, Chengdu, China
Gang Kou
Institute of Mathematics, University of Warsaw, Banacha 2, 02-097, Warsaw, Poland
Andrzej Skowron
Hong Kong Polytechnic University, Kowloon, Hong Kong
Jiannong Cao
Bell Labs, Paris, France
Hakim Hacid
Department of Life Science and Informatics, Maebashi Institute of Technology, 460-1 Kamisadori-cho, 371-0816, Maebashi, Gunma, Japan
Ning Zhong
Rights and permissions
Copyright information
© 2013 Springer International Publishing Switzerland
About this paper
Cite this paper
Zhao, Y., Peng, Y. (2013). The Roles of Environmental Noises and Opinion Leaders in Emergency. In: Yoshida, T., Kou, G., Skowron, A., Cao, J., Hacid, H., Zhong, N. (eds) Active Media Technology. AMT 2013. Lecture Notes in Computer Science, vol 8210. Springer, Cham. https://doi.org/10.1007/978-3-319-02750-0_24
Download citation
Publisher Name:Springer, Cham
Print ISBN:978-3-319-02749-4
Online ISBN:978-3-319-02750-0
eBook Packages:Computer ScienceComputer Science (R0)
Share this paper
Anyone you share the following link with will be able to read this content:
Sorry, a shareable link is not currently available for this article.
Provided by the Springer Nature SharedIt content-sharing initiative