Finding Community Infection Spreading Factor’s presence in a Community

S. Naskar, A. K. Goswami, S. S. Sarma
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Abstract

In all the countries, all the communities consist of people having certain attitudes and interests in common. The whole community can be mapped into a graph network. Every distinct individual can be assumed as a node of the constructed graph for the community. To declare a pandemic situation for any country, we first need to check whether the infection is spread throughout the Community or not. For this purpose we need to calculate the existence of cliques and the nodes of the maximal clique will be the infection spreading factors. In this work, we try to find out the presence of these spreading factors in the community graph network.
社区感染传播因子在社区中的存在
在所有的国家中,所有的社区都是由具有某些共同态度和兴趣的人组成的。整个社区可以被映射成一个图形网络。每个不同的个体都可以被假设为社区构建图的一个节点。要宣布任何国家进入大流行状态,我们首先需要检查感染是否在整个共同体传播。为此,我们需要计算派系的存在性,并将最大派系的节点作为感染传播因子。在这项工作中,我们试图找出这些传播因素在社区图网络中的存在。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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