Summary

International Symposium on Nonlinear Theory and Its Applications

2016

Session Number:C1L-E

Session:

Number:C1L-E-6

Which Vertices Affect the Spread of Disease in Temporal Networks?

Koshi Abe,  Yutaka Shimada,  Kantaro Fujiwara,  Tohru Ikeguchi,  

pp.-

Publication Date:2016/11/27

Online ISSN:2188-5079

DOI:10.34385/proc.48.C1L-E-6

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Summary:
To prevent outbreaks of infectious diseases, it is one of the effective approaches to analyze mathematical models of the infectious diseases. In this paper, we investigate the spread of the infectious disease on the real contact networks observed from person-to-person interactions at a hospital and a high school. We also investigate how removes of vertices with high centralities from networks affect the spread of the infectious diseases. As a result, we find that the most effective method for suppressing the spread of the infectious diseases is different in the hospital and the high school.