Research on Diffusion of Warning Based on Multi-Agent Modeling

Jing Jing Wang; Yun Feng Deng; Zhong An Jiang

doi:10.4028/www.scientific.net/AMR.734-737.3259

Paper Titles

RETRACTED: The Realization of Communication between AB SLC500 and Profibus-DP Network
p.3238

A Composite Pulse Modulated Signal Compression and DSP Implementation
p.3244

Performance Analysis of Radar Pulse Compression Signals
p.3248

Vehicle License Plate Location Based on High Frequency Vertical Edge and Mathematical Morphology
p.3252

Research on Diffusion of Warning Based on Multi-Agent Modeling
p.3259

Research on Integrated Fire Danger Index Application Based on Ignition and Fire
p.3264

Research on Risk Management in Urban Subway Construction
p.3271

Assessment of the Influence of Binhai Lng Project on Regional Economic Development in Jiangsu Province
p.3275

Study on the Forecast of the Economic Loss in Storm Surge Disaster Based on Fourier Series - A Case Study of China
p.3280

HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 734-737Research on Diffusion of Warning Based on...

Research on Diffusion of Warning Based on Multi-Agent Modeling

Abstract:

Quick and highly efficient warning is critical in any emergency evacuation. From the issuing of warning until action taken by people in response, the entire course is a very complex process which is restrained by social, economic, population and other factors. To study the diffusion characteristics of warning in the social network environment as well as the relevant influencing factors, under the guidance of complex system theory and multi-agent modeling method, this paper analyzes the six stages in the diffusion process of warning and builds a diffusion model of warning on the multi-agent software platform Repast based on WS small world network model. Through the study of the simulation results, we find that the diffusion of warning is similar to the diffusion of other information, which showed a similar S-curve.

You might also be interested in these eBooks

View Preview

Info:

Periodical:

Advanced Materials Research (Volumes 734-737)

Pages:

3259-3263

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.734-737.3259

Citation:

Cite this paper

Online since:

August 2013

Authors:

Jing Jing Wang, Yun Feng Deng, Zhong An Jiang

Keywords:

Influencing Factor, Multi-Agent Modeling, Social Network, Warning

Export:

RIS, BibTeX

Price:

Permissions CCC:

Request Permissions

Permissions PLS:

Request Permissions

Сopyright:

Citation:

References

[1] G. Fioretti: Progress in Economics Research vol. 9(2005), p.136

Google Scholar

[2] V. Albino, N. Carbonara, and I, Giannoccaro: Journal of Artificial Societies and Social Simulation vol. 6(2003), p.67

Google Scholar

[3] R. Garcia: Journal of Product Innovation Management vol. 22(2005), p.390

Google Scholar

[4] K.Galanakis: Technovation. Amsterdan vol. 26(2006), p.1228

Google Scholar

[5] Y. A. Zhang, G. Tian: Soft Science vol. 22(2008), p.16

Google Scholar

[6] M. Q. Fang, S. R. Zhang, Modelling and Simulation of Complex Systems (Renmin University Press, Beijing 2005).

Google Scholar

[7] A. W. Ding: The Journal of Defense Modeling and Simulation: Applications, Methodology, Technology vol. 3(2006), p.49

Google Scholar

[8] D. S. Mileti, J.H. Sorensen: Communication of Emergency Public Warnings: A Social Science Perspective and State-of-the-alert Assessment (Oak Ridge National Laboratory, 1990).

DOI: 10.2172/6137387

Google Scholar

[9] G. O. Rogers, J. H. Sorensen: Diffusion of Emergency Warning: Comparing Empirical and Simulation Results. Risk Analysis (Plenum Press, New York, 1991).

DOI: 10.1007/978-1-4899-0730-1_14

Google Scholar

[10] D. S. Mileti, L. Peek: Journal of Hazardous Materials vol. 75(2000), p.189.

Google Scholar