Summary
International Symposium on Nonlinear Theory and Its Applications
2015
Session Number:A5L-A
Session:
Number:A5L-A-1
Analysis on the Spread of Disease on Temporal Networks
Koshi Abe, Yutaka Shimada, Kantaro Fujiwara, Tohru Ikeguchi,
pp.337-340
Publication Date:2015/12/1
Online ISSN:2188-5079
Summary:
To avoid spreading an infectious disease, it is one of the important approaches to analyze mathematical models of the infectious disease. Many previous studies have already investigated the spread of infectious diseases on complex networks. However, these conventional studies mainly focus on static networks whose structures do not change with time, even though structures of complex networks change with time under realistic situations. In this paper, focusing on temporal networks whose structures change with time, we investigated the spread of infectious diseases on the real temporal networks observed from person-to-person interactions at a hospital and a high school. We also investigated what kinds of properties affect the spread of the infectious disease by using a simple mathematical model of the infectious disease. As a result, the degree correlation and the correlation of the number of contacts of connecting two vertices play a crucial role to the spread of the infectious disease on the temporal network.