Protection Strategy for Edge-Weighted Graphs in Disease Spread
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Fake news, viruses on computer systems or infectious diseases on communities are some of the problems that are addressed by researchers dedicated to study complex networks. The immunization process is the solution to these challenges and hence the importance of obtaining immunization strategies that control these spreads. In this paper, we evaluate the effectiveness of the DIL-Wα ranking in the immunization of nodes that are attacked by an infectious disease that spreads on an edge-weighted graph using a graph-based SIR model. The experimentation was done on real and scale-free networks and the results illustrate the benefits of this ranking.
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Manríquez, R.; Guerrero-Nancuante, C.; Taramasco, C. Protection Strategy for Edge-Weighted Graphs in Disease Spread. Appl. Sci. 2021, 11, 5115. https://doi.org/10.3390/app11115115
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Copyright: © 2021 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).