A new perspective of epidemic controlling: immunization therapy strategy in weighted complex network
Cited by
Export citation
- BibTex
- RIS
- TXT
@Article{JICS-13-141,
author = {Yu-Ying Huang, Yu-Xin Ma,Yi -Xian Chen,Lin -Zi Zhang and Han-Li},
title = {A new perspective of epidemic controlling: immunization therapy strategy in weighted complex network},
journal = {Journal of Information and Computing Science},
year = {2024},
volume = {13},
number = {2},
pages = {141--150},
abstract = {The immunization strategy towards the epidemic spreading problem has attracted widespread attention
of scientists from many different fields. However, the traditional immune behavior is achieved by deleting the edges
in the network, which can lead to variations in the network structure and furthermore, seriously damage the efficien-
cy of the network. In this paper, we studied a new type of immune strategy applied to weighted networks–
immunization therapy strategy, which is to maintain the necessary network efficiency by lowering the weight of
edges to suppress the spread of epidemic. It is similar to the inflammation around the infected parts of our body,
which can either prevent epidemic from further spreading or do no harm to the function of the body. Thus, we name
this novel strategy as "immunization therapy strategy". We first let the rate of transmission be proportional to the
edge weight according to the ? − ? epidemic spreading model. In addition, we give specific dynamic evolution for
infected nodes that boosts efficient epidemic control. Theoretical analysis and simulation outputs indicate that the
immunization therapy strategy can efficaciously prevent the spread of the epidemic, while maintaining the high effi-
ciency of the network.
},
issn = {1746-7659},
doi = {https://doi.org/},
url = {http://global-sci.org/intro/article_detail/jics/22456.html}
}
TY - JOUR
T1 - A new perspective of epidemic controlling: immunization therapy strategy in weighted complex network
AU - Yu-Ying Huang, Yu-Xin Ma,Yi -Xian Chen,Lin -Zi Zhang and Han-Li
JO - Journal of Information and Computing Science
VL - 2
SP - 141
EP - 150
PY - 2024
DA - 2024/01
SN - 13
DO - http://doi.org/
UR - https://global-sci.org/intro/article_detail/jics/22456.html
KW - complex network
KW - ? − ? model
KW - epidemic controlling
KW - immunization therapy.
AB - The immunization strategy towards the epidemic spreading problem has attracted widespread attention
of scientists from many different fields. However, the traditional immune behavior is achieved by deleting the edges
in the network, which can lead to variations in the network structure and furthermore, seriously damage the efficien-
cy of the network. In this paper, we studied a new type of immune strategy applied to weighted networks–
immunization therapy strategy, which is to maintain the necessary network efficiency by lowering the weight of
edges to suppress the spread of epidemic. It is similar to the inflammation around the infected parts of our body,
which can either prevent epidemic from further spreading or do no harm to the function of the body. Thus, we name
this novel strategy as "immunization therapy strategy". We first let the rate of transmission be proportional to the
edge weight according to the ? − ? epidemic spreading model. In addition, we give specific dynamic evolution for
infected nodes that boosts efficient epidemic control. Theoretical analysis and simulation outputs indicate that the
immunization therapy strategy can efficaciously prevent the spread of the epidemic, while maintaining the high effi-
ciency of the network.
Yu-Ying Huang, Yu-Xin Ma,Yi -Xian Chen,Lin -Zi Zhang and Han-Li. (2024). A new perspective of epidemic controlling: immunization therapy strategy in weighted complex network.
Journal of Information and Computing Science. 13 (2).
141-150.
doi:
Copy to clipboard