摘要：To dig potential spread nodes in a complex network mainly relies on using centralized indicators such as the node degree, closeness, betweenness and K-shell to evaluate spread node, which causes that the excavation accuracy is not high and adaptability not strong and induces other shortcomings, therefore this paper proposes KSC of centering indicator model. This model not only considers the internal attributes of nodes, but also takes the external attributes of nodes into account, and it finally conducts simulation experiments on propagation through the use of SIR model. The experimental results show that: The proposed algorithm is suitable for a variety of complex networks and it finds better, more promising and more influential dissemination nodes.
关键词：Indicator Model;Degree of Centralization;Tightness;Betweenness
