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arXiv 2107.09670q-bio.PEphysics.soc-ph
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复杂网络上的疾病。从数据库建模和保护策略建议

Diseases on complex networks. Modeling from a database and a protection strategy proposal

Ronald Manríquez, Camilo Guerrero-Nancuante

摘要:

在网络目前具有的各种重要应用中,传染病建模是其中之一。免疫,或保护网络中节点的过程,在阻止疾病传播方面起着关键作用。因此,拥有能够解决这一挑战的工具或策略非常重要。在这项工作中,我们评估了DIL-W^α排序在边缘加权网络中免疫节点的有效性。该网络是从一个真实的数据库中获得的,COVID-19的传播是用经典的SIR模型建模的。我们根据DIL-W^α产生的重要性排序列表对网络进行保护。

英文摘要:

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 work, we evaluate the effectiveness of the DIL-W^α ranking in immunizing nodes in an edge-weighted network. 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-W^α.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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