| The high frequency of unsafe behavior has always been a chronic problem that has plagued safety management of China’s coal mines.Through analysing the typical accidents of coal mines that have occurred in recent years,We have found that the unsafe behavior of coal miners is not isolated.Instead,it was widely found in production,inspection,management,and other departments.Unsafe behavior develops from individualization to grouping,networking,and standardization,showing a dangerous situation of “group violation”.In fact,the complexity,hardships,and dangers of coal mining production determine that the individual behavior of coal miners will be affected to a large extent by the interaction and collaboration between group members.coal miners are not isolated individual actors,but are embedded in social networks that are connected by various relationships such as working relationships,consulting relationships,and emotional relationships.The process and results of individual behavior decision-making can be positively or negatively affected by the social network.Existing studies on the influencing factors of unsafe behavior rarely discuss how network features affect the spread of unsafe behavior.Therefore,this paper explores and analyzes the drivers of coal miners’ unsafe behavior diffusion from the perspective of social networks.Through the review of many domestic and foreign literatures on social networks and the behavior of network members,this paper divides the social network features into two dimensions: relationship dimension and structure dimension.The relationship dimension includes relationship strength and asymmetric relationship;The structure dimension includes five sub-dimensions: network density,network center,network size,structure hole,and condensed subgroup.Based on this,this paper analyzes the influence of the seven dimensions of social network features on the spread of unsafe behavior and builds theoretical model.This research validates the theoretical model through questionnaire survey and evolutionary game analysis.Taking 376 coal mine workers as research samples,this paper first describes and analyzes the social network features of coal miners.Secondly,regression analysis was used to test the relationship between social network features,interpersonal trust and unsafe behavior diffusion.Finally,the stability mechanism of unsafe behavior under the influence of normalization trend was explored through evolutionary game analysis.The main conclusions of this study are as follows:(1)The four dimensions of relationship strength,network density,network centrality,and condensed subgroups in coal mine workers’ social network features positively influence unsafe behavior diffusion.(2)The three dimensions of asymmetric relationship,network size,and structure hole in the social network of coal miners negatively affect unsafe behavior diffusion.(3)Interpersonal trust played a partial intermediary role between coal miners’ social network features and unsafe behavior diffusion.(4)The normalization trend of social networks is a key factor in determining whether or not unsafe behavior can spread steadily.Coal mining companies should actively guide operating groups to form benign production practices.Finally,based on the empirical analysis conclusions,this paper proposes management suggestions and countermeasures to curb unsafe behaviors diffusion from the perspective of social networks,in order to provide a theoretical reference for coal mine enterprise to improve safety management. |