Identification of influential nodes in multi-layer mapping service network for high-end manufacturing equipment

The identification of influential nodes is a vital step in the study of complex network. Its research could optimize the use of limited resources on ensuring the more efficient spread of information. However, the existing ranking methods to identify influential nodes pose challenges for multi-layer network. They also have little consideration about node functionality. Thus, in this paper, combined with the constructed multi-layer mapping service network of high-end manufacturing equipment in product service system (PSS) field, a novel and comprehensive identification method is proposed to find the influential functions, influential structures and influential services. It provides a guidance for service designers to ensure the availability of influential functions with the effective control on influential services. This method defines the influential nodes as the set of core nodes, inner-relational key nodes, mapping-relational key nodes and community leader nodes where the core nodes are determined based on the proposed quantitative CF-BOM (Cost Failure BOM) and S-BOM (Service BOM). The developed multi centrality correlation (MUCC) method that combines the advantages of different centralities, reveals the inner-relational key nodes. The community leader nodes are found based on the detected influential communities. Finally, a simplified multi-layer mapping service network from high-end CNC honing machine is studied to illustrate the feasibility of the proposed method.