{"title":"The Research on Fuzzy Bayesian Network Model for the Network Public Opinion Situation and Threat Assessment","authors":"J. Fang, Jianming Huang, Ming Liu","doi":"10.1109/ICNDC.2012.49","DOIUrl":null,"url":null,"abstract":"In this paper, The project is based on the network information security research foundation, to the public opinion surveillance and early warning research as the breakthrough point, in view of the network public opinion situation change of complexity and diversity, especially the network information uncertainty and fuzziness, constructs a fuzzy Bayesian network model to solve the public opinion situation and threat assessment effectively. The research results can be a variety of network public opinion characteristics factors synthetically, the different time slice characteristic factors are modified, which can accurately track the network public opinion situation and threat of development and change, improve public opinion monitoring and early warning of quality.","PeriodicalId":151593,"journal":{"name":"2012 Third International Conference on Networking and Distributed Computing","volume":"10 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2012-10-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2012 Third International Conference on Networking and Distributed Computing","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICNDC.2012.49","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
In this paper, The project is based on the network information security research foundation, to the public opinion surveillance and early warning research as the breakthrough point, in view of the network public opinion situation change of complexity and diversity, especially the network information uncertainty and fuzziness, constructs a fuzzy Bayesian network model to solve the public opinion situation and threat assessment effectively. The research results can be a variety of network public opinion characteristics factors synthetically, the different time slice characteristic factors are modified, which can accurately track the network public opinion situation and threat of development and change, improve public opinion monitoring and early warning of quality.