Research on Multi-layer Propagation for Detecting Key Nodes of Positive Effects in Social Networks

In social networks, the identification of key nodes has become a hot research direction because of its important theoretical significance and extensive practical application. Most of the existing research modeling methods and selected indicators are designed on local information, and the overall topology of the network is insufficiently considered, which has certain limitations. Therefore, based on the overall topology of the network, this paper proposes a depth-weighted heuristic algorithm DWH-KPP-POS for the key player problem positive effects. Finally, the effectiveness and efficiency of the proposed model and algorithm are verified on various types of synthetic networks and real network datasets.