Examinando por Autor "Taramasco, Casrla"

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  • Miniatura
    Ítem
    Protection Strategy against an Epidemic Disease on Edge-Weighted Graphs Applied to a COVID-19 Case
    (MDPI, 2021) Manríquez, Ronald; Guerrero-Nancuante, Camilo; Taramasco, Casrla
    Among the diverse and important applications that networks currently have is the modeling of infectious diseases. Immunization, or the process of protecting nodes in the network, plays a key role in stopping diseases from spreading. Hence the importance of having tools or strategies that allow the solving of this challenge. In this paper, we evaluate the effectiveness of the DIL-Wα ranking in immunizing nodes in an edge-weighted network with 3866 nodes and 6,841,470 edges. The network is obtained from a real database and the spread of COVID-19 was modeled with the classic SIR model. We apply the protection to the network, according to the importance ranking list produced by DIL-Wα, considering different protection budgets. Furthermore, we consider three different values for α; in this way, we compare how the protection performs according to the value of α.
  • Miniatura
    Ítem
    Protection Strategy for Edge-Weighted Graphs in Disease Spread
    (MDPI, 2021) Manríquez, Ronald; Guerrero-Nancuante, Camilo; Taramasco, Casrla
    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.