Welcome To WUJNS
武汉大学学报 英文版 | Wuhan University Journal of Natural Sciences
Wan Fang
Wuhan University
Latest Article
Communication Effect of Passengers on Information Diffusion in Metro Emergency
ZHAO Haifeng, SUN Yanqiu
School of Management and Economics, Tongji University, Shanghai 200092, China
 Information diffusion is significant for emergency management as it can decide the severity of accidents. In this paper, we set up a communication model of passengers for the metro emergency. In the model, four categories of passengers are defined as unknown passengers, supportive passengers, neutral passengers and opposed passengers. Three passengers’ characteristics are taken into account, such as spreading desire, the trustworthiness and the passengers’ uncertainty about their opinions. From the simulation results, we can see that the passengers’ uncertainty about their opinions has a positive correlation with the time of passengers’ opinions reaching consensus, while other two factors both have a negative correlation. The result is useful for metro officials to guide and control emergency information.
Key words:metro emergency; communication; information diffusion; multi-agent simulation
CLC number:C 931
[1]	Wei J C, Zhao D T. Research on the crisis information communication model and its impact factors[J]. Information Science, 2006, 24(12): 1782-1785 (Ch).
[2]	Li Z H, He J L, Wu P F. The time period characteristic of information communication model and it’s management strategies of paroxysmal public crisis[J]. Library and Infor- mation Service, 2007, 51(10): 88-91.
[3]	Ji D, Guo Z. Research on the factors influencing the power of opinion leaders online in crisis communication [J]. Journal of Intelligence, 2015, 28(3): 142-147 (Ch).
[4]	Berlo D K. The Process of Communication: An Introduction to Theory and Practice[M]. New York: Holt, Rinehart and Winston, 1960: 397-398.
[5]	Wang J F, Tan X J. The canonical and micro-canonical transitions of the potts model for rumor[J]. Journal of Hubei University (Natural Science Edition), 2004, 26(4): 8(Ch).
[6]	Zhong Q, Qi W, Zhang L. Social-pattern crisis information diffusion model under Lotka-Volterra system[J]. Systems Engineering-Theory & Practice, 2012, 32(1): 104-110 (Ch).
[7]	Wei J C, Zhou L, Zhao D T. Crisis information diffusion model based on BASS model[J]. Systems Engineering, 2011, 29(9): 16-22 (Ch).
[8]	Zanette D H. Dynamics of rumor propagation on small-world networks[J]. Physical Review E, Statistical, Nonlinear, and Soft Matter Physics, 2002, 65(4part1): 041908.
[9]	Moreno Y, Nekovee M, Pacheco A F. Dynamics of rumor spreading in complex networks[J]. Physical Review E, Statistical, Nonlinear, and Soft Matter Physics, 2004, 69(6part2): 066-130.
[10]	Song N, Lu F B, Bao Q, et al. Cyber terrorism spreading and optimal intervention policies based on a scale-free network[J]. Systems Engineering-Theory & Practice, 2015, 35(3): 630-640 (Ch).
[11]	Zhan F, Si G Y, Luo P. A survey for rumor propagation models[J]. Complex Systems and Complexity Science, 2009, 6(4): 1-11 (Ch).
[12]	Li Z H, Wang H Y, Bai X. Paroxysmal public crisis information transmission simulation and management countermeasures in network environment[J]. Journal of Public Management, 2010, 7(1): 85-93 (Ch).
[13]	Du R, Liang H X. Simulating government’s guide effect on network opinion of public crisis[J]. Journal of Intelligence, 2011, 30(11): 61-66 (Ch).
[14]	Zhang F, Si G Y, Luo P. Rumor propagation model based on communication functions and finite memory[J]. Journal of System Simulation, 2011, 23(11): 2482-2486 (Ch).
Welcome To WUJNS

HOME | Aim and Scope | Editoral Board | Current Issue | Back Issue | Subscribe | Crosscheck | Polishing | Contact us Copyright © 1997-2017 All right reserved