| Since entering the 21st century, all kinds of emergency events happen frequently. The damage caused by chain reaction of emergency events is far more than that caused by a single emergency event. Therefore, to carry out the research on emergency chain reaction is of great significance for us to effectively reduce the loss of emergencies and to avoid spreading of emergencies.Most of the current studies focus on the spread of a single emergency event and the chain and network composed of a variety of emergency events. These are the studies of emergency chain reactions which have occurred. However, there is few studies on the chain reactions which did not ever happen but may happen in some environment. Therefore, take four emergencies as the research object, a network model to describe the possible chain reaction of emergency events is proposed, and the possibility of two emergency events forming a chain reaction is analyzed in this paper, so as to achieve macro-emergency warning.To model network, it is the most important to study the relationship between two emergencies which form chain reaction. This paper introduces the concept of correlation to describe the relationship between emergencies. This paper is organized as follows:Firstly, the existing research on emergency chain reaction is summarized, and the chain mode of emergency chain reaction is analyzed. And then the method of building a network model of emergency chain reaction and its formal description is proposed; an algorithm to judge the possibility of chain reaction is designed. From the perspective of co-occurrence analysis, the calculation of correlation is analyzed. Finally, the empirical study is present:Select emergencies, do co-occurrence analysis, and get the correlation and network of emergency events. The chain reaction network of emergency events is built, and effective conclusions are reached, finding the possible chain reaction of emergency events. Thus verify the proposed network model and the correlation algorithm is reasonable.The innovation of this paper is the emergency chain reaction network model and the correlation algorithm. This enriches the related theories of emergency chain reaction. |