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Volume 13, Issue 2
A new perspective of epidemic controlling: immunization therapy strategy in weighted complex network

Yu-Ying Huang, Yu-Xin Ma,Yi -Xian Chen,Lin -Zi Zhang and Han-Li

J. Info. Comput. Sci. , 13 (2018), pp. 141-150.

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  • 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.
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@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:
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