A bio-inspired immunization strategy for complex networks
The problem of finding a better immunization strategy for controlling the spreading of the epidemic with limited resources has attracted much attention since its great theoretical significance and wide application.The traditional strategies either neglect the connection of the neighbors or require global information about the network such as the degree centrality strategy, thebetweenness centrality strategy and the closeness centrality strategy.In this paper, we propose an ameba immunization strategy which considers the relationship not only between the focal node and its neighbors but also among the neighbors of the focal node.This relationship,denoting as the ability to restrain the spreading of the focal node, indicates that how much dependence the neighbors have on the focal node.The immunized nodes of the networks are those with higher ability.To test the performance of our method, we conduct the experiments on some artificial and real-world networks, via the Susceptible-Infected-Recovered (SIR) simulation.The results show that the proposed method outperforms the existing well-known methods.
Immunization strategy Ameba Complex networks Dependence
Yang Liu Yong Deng Zhen Wang
School of Computer and Information Science, Southwest University, Chongqing 400715, China School of Computer and Information Science, Southwest University, Chongqing 400715, China;School of Interdisciplinary Graduate School of Engineering Sciences, Kyushu University, Kasuga-koen, Kasuga-sh
国内会议
广州
英文
588-600
2015-05-01（万方平台首次上网日期，不代表论文的发表时间）