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  4. Vol 6, Issue 5, 2022

Simulation Research on the Infection of Unsafe Behavior of Employees Based on Social Network

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DOI: 10.23977/acss.2022.060509 | Downloads: 12 | Views: 617

Author(s)

Jia Ziruo 1, Qi Fuqiang 1

Affiliation(s)

1 School of Transportation Science and Engineering, Civil Aviation University of China, Tianjin, China

Corresponding Author

Jia Ziruo

ABSTRACT

In order to study the characteristics of unsafe behavior contagion, based on the small world network, an unsafe behavior contagion model with behavioral rules such as homogenization aggregation, second-degree relationship distance of infection, influence paradox, and attenuation of behavioral contagion was constructed. The Netlogo platform was used for simulation. According to the results, it is found that the transmission of unsafe behavior has the contagion characteristics of hysteresis, emerging, and progressiveness. Whether the contagion behaviors occur was determined by the average path length of the network. The strong connection relationship in the network structure would trigger the infection of unsafe behavior. There was a significant positive correlation between the node distribution level of the network structure and the time-consuming cycle of unsafe behavior. Through research and exploration of the formation law and diffusion characteristics of unsafe behaviors in social networks, it is expected to provide theoretical support and direction guidance for the prevention and control of unsafe behaviors in social networks, thereby promoting the improvement of individual and organizational safety performance.

KEYWORDS

Unsafe Behavior, Social Network, Simulation Research

CITE THIS PAPER

Jia Ziruo, Qi Fuqiang, Simulation Research on the Infection of Unsafe Behavior of Employees Based on Social Network. Advances in Computer, Signals and Systems (2022) Vol. 6: 63-69. DOI: http://dx.doi.org/10.23977/acss.2022.060509.

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