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.