The Spread of Infectious Disease on Network Using Neutrosophic Algebraic Structure

• 作者: A. A. Ibrahim A. Zubairu
• 来源期刊: 离散数学期刊(英文)
• 学科: 数学
• 关键词: Neutrosophic Group N(G) INFECTIOUS Disease GRAPH Representation of N(G) CAYLEY GRAPHS
• 年，卷（期）: 2017,（2）
• 页码范围: 77-86
• 页数: 10页
• 分类号: O1

摘要

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.