Abstrait

University reputation crisis warning research on the new media environment by the use of BP neural network

Jianhong Miao, Junwen Feng, Liuliu Zhou, Ziran Xia

With the deepening of social change and the rapid development of information and communication industries, the social environment is becoming more and more complex, which not only brings some opportunities but also some uncertain factors at the same time. And these uncertain factors can lead to the crisis, and disrupt the university reputation. To reduce the harm the crisis brings, we should focus on the construction of crisis warning system, so that we can spend a small amount of money to prevent, rather than spend a lot of money to treat. Based on the existing literature, this paper tries to utilize the data mining techniques to study how to prevent the university crises on the new media environment by the use of BP neural network method, and thus explore the establishment of universities crisis warning system.