About: Immunization strategy based on the critical node in percolation transition

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An Entity of Type : schema:ScholarlyArticle, within Data Space : covidontheweb.inria.fr associated with source document(s)

Attributes	Values
type	Academic Article research paper schema:ScholarlyArticle
isDefinedBy	Covid-on-the-Web dataset
has title	Immunization strategy based on the critical node in percolation transition
Creator	Wang, Zhen Liu, Yang Deng, Yong Wei, Bo
Source	Elsevier; Medline; PMC
abstract	The problem of finding a better immunization strategy for controlling the spreading of the epidemic with limited resources has attracted much attention since its great theoretical significance and wide application. In this letter, we propose a novel and successful targeted immunization strategy based on percolation transition. Our strategy repeatedly looks for the critical nodes for immunizing. The critical node, which leads to the emergence of the giant connected component as the degree threshold increases, is determined when the maximal second-largest connected component disappears. To test the effectiveness of the proposed method, we conduct the experiments on several artificial networks and real-world networks. The results show that the proposed method outperforms the degree centrality strategy, the betweenness centrality strategy and the adaptive degree centrality strategy with 18% to 50% fewer immunized nodes for same amount of immunization.
has issue date	2015-11-06(xsd:dateTime)
bibo:doi	10.1016/j.physleta.2015.09.017
bibo:pmid	32288059
has license	no-cc
sha1sum (hex)	0d4ac9a3901d402ac364ae432405f3df2827100f
schema:url	https://doi.org/10.1016/j.physleta.2015.09.017
resource representing a document's title	Immunization strategy based on the critical node in percolation transition
has PubMed Central identifier	PMC7125864
has PubMed identifier	32288059
schema:publication	Phys Lett A
resource representing a document's body	covid:0d4ac9a3901d402ac364ae432405f3df2827100f#body_text
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