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| The Credibility of Business Public Opinion Based on Model Checking |
| Wu Peng1,2, Xiao Weicong1,2, Chu Rongzhen1,2 |
1.School of Economics and Management, Nanjing University of Science & Technology, Nanjing 210094
2.Jiangsu Collaborative Innovation Center of Social Safety Science and Technology, Nanjing 210094 |
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Abstract Credibility assessment of business public opinion affects the both enterprise development and investors interests. To identify the criterion of credibility and judge its accuracy, this paper designed a credibility detection framework based on model checking technology. A decision tree algorithm was employed instead of the traditional artificial induction process to construct the rules for credibility judgment of business public opinion, and the language description was formalized with CTL. A business public opinion database is constructed as a credibility to-be-detected model based on the temporal logic relationship, represented by a Kripke structure. The model detector NuSMV performs automatic rule verification on the model to be detected, determines whether the model conforms to the credibility detection rule, and outputs the nonconforming paths as counter-examples (i.e., untrustworthy business public opinion detection paths). The proposed framework was validated in combination with empirical research, showing that the detection framework can quickly and effectively realize automatic detection of business public opinion credibility. This can help investors to analyze and predict the authenticity of business public opinion.
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Received: 06 July 2019
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