Hypernetwork approach to determination of occupational accident risks

M. A. Balci, Ö. Akgüller

Economic losses resulting from occupational accidents cause many researchers and policy makers to be interested in this issue. It is important to present effective mathematical methods as well as conventional statistical methods in the analysis of categorical occupational accident data. In this study, a mathematical method about edge estimation on a social network created with hyper-graphs for work accident analysis and prediction is presented. This method treats the process of the random walker evolving on the network with distributed order fractional derivative. The study was carried out numerical calculations in the years 2013-2014 in the dataset occupational accidents occurred in Turkey. The results obtained on a sample give prediction of possible occupational accidents characteristics. 

Tbilisi Mathematical Journal, Special Issue (8 - 2021), pp. 51-76