| Revista: | Journal of applied research and technology |
| Base de datos: | PERIÓDICA |
| Número de sistema: | 000384301 |
| ISSN: | 1665-6423 |
| Autores: | Jin, Li1 Jiong, Wang2 Yang, Dai3 Huaping, Wu1 Wei, Dong4 |
| Instituciones: | 1Earthquake Administration of Guangdong Province, Key Laboratory of Earthquake Monitoring and Disaster Mitigation Technology, Guangzhou, Guangdong. China 2North China University of Water Resources and Electric Power, School of Electrical Engineering, Zhengzhou, Henan. China 3Southwest Jiaotong University, School of Economics and Management, Chengdu, Sichuan. China 4University of Science and Technology of China, Department of Information Systems, Suzhou. China |
| Año: | 2014 |
| Periodo: | Abr |
| Volumen: | 12 |
| Número: | 2 |
| Paginación: | 223-229 |
| País: | México |
| Idioma: | Inglés |
| Tipo de documento: | Conferencia o discurso |
| Enfoque: | Experimental |
| Resumen en inglés | 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 |
| Disciplinas: | Ingeniería, Administración y contaduría |
| Palabras clave: | Ingeniería civil, Administración pública, Salud pública, Desastres naturales, Modelos de simulación |
| Keyword: | Engineering, Management and accounting, Civil engineering, Public administration, Public management, Public health, Natural disasters, Simulation models |
| Texto completo: | Texto completo (Ver HTML) |
