You are here:

A Simulation Study for Emergency/Disaster Management by Applying Complex Networks Theory

, China ; , School of Electrical Engineering, North China University of Water Resources and Electric Power, China ; , School of Economics and Management, Southwest Jiaotong University, China ; , China ; , Deparment of information Systems, USTC-City U Jiont Advanced Research Centre, China

Journal of Applied Research and Technology Volume 12, Number 2, ISSN 1665-6423 Publisher: Elsevier Ltd


Earthquakes, hurricanes, flooding and terrorist attacks pose a severe threat to our society. What’s more, when such a disaster happens, it can spread in a wide range with ubiquitous presence of a large-scale networked system. Therefore, the emergency/disaster management faces new challenges that the decision-makers have extra difficulties in perceiving the disaster dynamic spreading processes under this networked environment. This study tries to use the complex networks theory to tackle this complexity and the result shows the theory is a promising approach to support disaster/emergency management by focusing on simulation experiments of small world networks and scale free networks. The theory can be used to capture and describe the evolution mechanism, evolution discipline and overall behavior of a networked system. In particular, the complex networks theory is very strong at analyzing the complexity and dynamical changes of a networked system, which can improve the situation awareness after a disaster has occurred and help perceive its dynamic process, which is very important for high-quality decision making. In addition, this study also shows the use of the complex networks theory can build a visualized process to track the dynamic spreading of a disaster in a networked system.


Jin, L., Jiong, W., Yang, D., Huaping, W. & Wei, D. (2014). A Simulation Study for Emergency/Disaster Management by Applying Complex Networks Theory. Journal of Applied Research and Technology, 12(2), 223-229. Elsevier Ltd. Retrieved January 27, 2020 from .

This record was imported from Journal of Applied Research and Technology on January 29, 2019. Journal of Applied Research and Technology is a publication of Elsevier.

Full text is availabe on Science Direct: