Diffusion delay centrality: decelerating diffusion processes across networks
提出一种新指标“扩散延迟中心性”（DDC），用于识别应被隔离以减缓网络扩散的节点，发现DDC对网络边缘的守门人赋予高排名，且其排名可由介数中心性与特征向量中心性之差预测。
Abstract This paper presents a new measure (the diffusion delay centrality—DDC) to identify agents who should be put into isolation to decelerate a diffusion process spreading throughout a network. We show that DDC assigns a high rank to agents acting as the gatekeepers of the fringe of the network. We also show that the ranking of nodes obtained from the DDC is predicted by the difference in the values of betweenness and eigenvector centrality of network agents. The findings presented might constitute a useful tool to reduce diffusion processes both for policy makers and for corporate managers in the organization of production.