利用嗜中性代数结构研究传染病在网络上的传播

A. Zubairu, A. A. Ibrahim
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引用次数: 0

摘要

网络理论及其相关技术在从计算机、工程、建筑、人文、社会科学到系统生物学的各个学科和研究中都产生了巨大的影响。然而,近年来,流行病学可以说比任何其他学科都更能利用网络理论的这些潜力。图被认为是网络理论中的处理器,它与早在1900年初的流行病学有着密切的关系[1]。这是因为最早的传染病转移模型是一种定义图的隔间形式,尽管缺乏足够的数学计算和机械行为知识。本文利用中性代数群结构和图论的势,介绍了一种新型的疾病在网络上的传播。
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The Spread of Infectious Disease on Network Using Neutrosophic Algebraic Structure
Network theory and its associated techniques has tremendous impact in various discipline and research, from computer, engineering, architecture, humanities, social science to system biology. However in recent years epidemiology can be said to utilizes these potentials of network theory more than any other discipline. Graph which has been considered as the processor in network theory has a close relationship with epidemiology that dated as far back as early 1900 [1]. This is because the earliest models of infectious disease transfer were in a form of compartment which defines a graph even though adequate knowledge of mathematical computation and mechanistic behavior is scarce. This paper introduces a new type of disease propagation on network utilizing the potentials of neutrosophic algebraic group structures and graph theory.
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来源期刊
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127
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