Risk perception and intelligent decision in complex social information network
Industrial Management & Data Systems
ISSN: 0263-5577
Article publication date: 15 December 2020
Issue publication date: 4 February 2021
Abstract
Purpose
The increase of turbulence sources and risk points under the complex social information network has brought severe challenges. This paper discusses risk perception and intelligent decision-making under the complex social information network to maintain social security and financial security.
Design/methodology/approach
Cross-modal semantic fusion and social risk perception, temporal knowledge graph and analysis, complex social network intelligent decision-making methods have been studied. A big data computing platform of software and hardware integration for security combat is constructed based on the technical support.
Findings
The software and hardware integration platform driven by big data can realize joint identification of significant risks, intelligent analysis and large-scale group decision-making.
Practical implications
The integrated platform can monitor the abnormal operation and potential associated risks of Listed Companies in real-time, reduce information asymmetry and accounting costs and improve the capital market's ability to serve the real economy. It can also provide critical technical support and decision support in necessary public opinion monitoring and control business.
Originality/value
In this paper, the theory of knowledge-enhanced multi-modal multi-granularity dynamic risk analysis and intelligent group decision-making and the idea of an inference think tank (I-aid-S) is proposed. New technologies and methods, such as association analysis, time series evolution and super large-scale group decision-making, have been established. It's also applied in behavior and situation deduction, public opinion and finance and provides real-time, dynamic, fast and high-quality think tank services.
Keywords
Acknowledgements
This work was supported in part by the Ministry of Science and Technology of China under Grant 2020AAA0108400 and Grant 2020AAA0108402, in part by the National Natural Science Foundation of China under Grant 71825007, in part by the Chinese Academy of Sciences Frontier Scientific Research Key Project under Grant QYZDB-SSW-SYS021, and supported by the International Partnership Program of Chinese Academy of Sciences, Grant No. 211211KYSB20180042 and the Strategic Priority Research Program of CAS under Grant XDA2302020.
Citation
Wu, D., Song, J., Bian, Y., Zheng, X. and Zhang, Z. (2021), "Risk perception and intelligent decision in complex social information network", Industrial Management & Data Systems, Vol. 121 No. 1, pp. 99-110. https://doi.org/10.1108/IMDS-10-2020-0566
Publisher
:Emerald Publishing Limited
Copyright © 2020, Emerald Publishing Limited