Research On The Dynamic Evolution Of Coal Mine Safety Experts’ Cooperation Network Based On The Perspective Of Scientific Literature

Coal mine accidents have characteristics of multiple Occurrences, uncertainty, complexity, high risk and uncontrollability, which have brought great difficulties to national regulators, and seriously affected economic benefits of the coal mining enterprises and the social stability. The traditional research and development model of a closed loop between the coal mine safety experts began to be challenged, therefore the difficulty, cost and risk of mine safety experts’ independent innovation with their own resources have been greatly increased. Combining with the strengths, building a mine safety experts’ cooperation network has become an inevitable choice to achieve cooperative research and development. In this paper, after the structural characteristics of coal mine safety experts’ cooperation network are analyzed, the influence mechanism between social capital, knowledge flows, and cooperation performance are studied. The flow modes of knowledge in cooperation network are also explored using dynamic evolution analysis method from two perspectives of network structure and scientific knowledge map.The theory is briefly described, then the mine safety expert cooperative network is build and its structure is generally analyzed. The co-occurrence matrix is generated through literature data extraction process using bibliographic item co-occurrence matrix builder. Degree of cooperation, cooperation rates, network intermediate centrality, average path length, network density and other indicators of cooperation network are analyzed using social network analysis method, so as to character the relationship between the coal mine security experts’ network nodes and network and conduct a visual analysis. The results show that: mine security experts’ network belongs to a small-world scale-free network, and meet the requirements of the "six degrees of separation" theory. Although the cooperation degree and rates between experts are slowly rising, the cooperative network has less key nodes, low overall network density, and the link between the nodes is relatively sparse. The backbone of the entire cooperative network lacks some important influence.Through analyzing the impact mechanism of structural characteristics to cooperation performance in mine safety experts’ cooperation network, the concept model of social capital, knowledge flows and cooperation performance are build, meanwhile the endogenous latent variables, exogenous latent variables and mediating variables of the model are defined. Moreover hypotheses are proposed and measurement index is designed, hypothesis testing is conducted through data collection and data analysis procedures. The results show that: Network centrality and density have respectively positive impact on knowledge acquisition, absorption, sharing and innovation in cooperative network learning, and thus they also have a significantly positive impact on the cooperative performance. However the relationship strength, length, and structural holes have negative impact on knowledge acquisition and absorption.Based on the network structure problems of mine safety experts cooperation network and formation mechanism of cooperation networks, group identification and relationship forecast are used to analyze the cooperation network to find optimal path of dynamic evolution. The results show that: There are core nodes existing in network, and each core node has a maximum sub-graph. By connecting the individual nodes with nearest neighborhood nodes, the core nodes are connected each other, the connectivity of the network can be greatly increased. In the network, the largest cohesion subgroup is China University of Mining and Technology, other agencies can reduce the length of average path and improve safety network cohesion through effectively cooperating with this institution, thus resource integration effect will be optimized and the information dissemination speed will be accelerated.Text mining, network analysis and information visualization methods are adopted to analyze literature data of mine safety experts cooperation networks which comes from the WOS database of recent 35 years, also research institutions knowledge map, keywords co-occurrence patterns, keywords co-citation patterns, trends map, journal co-citation patterns are drawn. The results are as followed: Agencies analysis shows that domestic institutions have collaborations with others more frequently in mining engineering specialty, and have achieved remarkable results. But when the international cooperation is concerned, China has only established contact with countries like Japan, Australia and New Zealand and the cooperative effect is not obvious. Studying keywords co-occurrence and co-citation, safety management, safety culture, safety climate, safety behavior and risk assessment are the keywords which have higher frequency and centrality, while numerical simulation, coal and gas explosion, security management will be the focus areas of mine safety research in the future; in addition, Co-citation analysis shows that SAFETY SCI has the highest centricity among journals.The research analyzes the network structure of coal mine safety experts’ cooperation network using visual analysis method, to summe up the impact mechanism of cooperation networks and interpret the development trend of cooperation networks. The results will enrich and expand the contents of coal mine safety management, also make mine safety experts combine knowledge of security context more easily and at the same time improve research output ability of experts which provide a theoretical reference for the long-term development of science cooperation in the security field.