In order to achieve real-time regulation and dynamic monitoring of the comprehensive effect of coal water coordinated development, a survey and analysis of coal mines at different development stages in the research area were conducted. Relevant impact indicators were extracted based on the relevant descriptions of coal water coordinated development in the study area, combined with normative standards and research results. Considering the mutual influence relationship and degree of action between indicators, a hierarchical analysis network structure diagram of impact indicators at different development stages of coal mines was drawn using graph theory. The centrality theory of network analysis was adopted to determine the weight distribution of each impact indicator using degree centrality, betweenness centrality, and proximity centrality as calculation parameters, in order to scientifically determine the importance of different influencing factors on the comprehensive benefits of coal water coordinated mining.

    This dataset utilizes the Neo4j database to calculate the weight distribution of different impact factors at different development stages through the calculation of degree centrality, betweenness centrality, and proximity centrality of impact indicators. The data includes the weight distribution of influencing factors for three different stages of coal mine development.