期刊
JOURNAL OF THEORETICAL BIOLOGY
卷 400, 期 -, 页码 92-102出版社
ACADEMIC PRESS LTD- ELSEVIER SCIENCE LTD
DOI: 10.1016/j.jtbi.2016.04.018
关键词
Infectious agent; Physarum polycephalum; Heterogeneous topology; Degree centrality; Betweenness centrality; Closeness centrality; SIR model
资金
- National High Technology Research and Development Program of China (863 Program) [2013AA013801]
- National Natural Science Foundation of China [61174022, 61573290, 61503237]
- China State Key Laboratory of Virtual Reality Technology and Systems, Beihang University [BUAA-VR-14KF-02]
- Japan Society for the Promotion of Science (JSPS) Postdoctoral Fellowship Program for Foreign Researchers [P13380]
Well-known immunization strategies, based on degree centrality, betweenness centrality, or closeness centrality, either neglect the structural significance of a node or require global information about the network. We propose a biologically inspired immunization strategy that circumvents both of these problems by considering the number of links of a focal node and the way the neighbors are connected among themselves. The strategy thus measures the dependence of the neighbors on the focal node, identifying the ability of this node to spread the disease. Nodes with the highest ability in the network are the first to be immunized. To test the performance of our method, we conduct numerical simulations on several computer-generated and empirical networks, using the susceptible-infected-recovered (SIR) model. The results show that the proposed strategy largely outperforms the existing well-known strategies. (C) 2016 Elsevier Ltd. All rights reserved.
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