Abstract
In order to reduce the occurrence of unsafe behavior and aggregate the personal employee safety consciousness, a personal security awareness model based on social cluster self-organization is presented. First of all, according to the individual number of employees N, the number of topology K between individual employees is traversed, and the dynamic trend of individual security awareness of employees is simulated by using Matlab software. Then, using the statistical data analysis software package SPSS, the obvious tendency of aggregation when N and the minimum number of topology K are analyzed, we get that there is a linear relationship between N and K by fitting. Thus, it can combine the Behavior-Based Safety (BBS) theory and the enterprise scale to guide the security partition of the enterprise teams and groups, so that the individual safety awareness of employees can reach the same level.
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Acknowledgments
This research reported herein was supported by the NSFC of China under Grants No. 71571091 and 71771112.
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Zhang, Yl., Chen, Xb. (2018). Guidance of Enterprise Team Division Based on Security Awareness and Interaction. In: Karwowski, W., Ahram, T. (eds) Intelligent Human Systems Integration. IHSI 2018. Advances in Intelligent Systems and Computing, vol 722. Springer, Cham. https://doi.org/10.1007/978-3-319-73888-8_64
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DOI: https://doi.org/10.1007/978-3-319-73888-8_64
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