图纠缠的概念及其在股票市场分析中的应用

A. Rubchinsky
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引用次数: 0

摘要

图是许多真实系统和形式系统中最方便和最广泛的模型之一。事实上,这个相对简单的概念在研究、分析和展示许多系统时非常有用,这些系统都是用图形建模的。建模系统的各种属性,有时是模糊的和不确定的,被表示为建模图的形式属性。本文所介绍的图的性质,正是这种性质。它在不同的情况下有不同的有意义的解释,但通常它描述了各种系统的复杂性,纠缠性,困惑性,复杂性和其他难以定义的,虽然重要的特性。所引入的概念,被称为图纠缠,被证明是有用的,特别是对股票市场行为的分析。这种特殊的应用似乎很重要和有前景;它的第一个详细介绍是本文的主要目标。图纠缠概念在其他领域的应用在出版物[1 - 4]中得到了证明,这里不考虑。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Notion of Graph Entanglement and Its Application for Stock Market Analysis
The graph is one of the most convenient and widespread models of many real and formal systems. Indeed, this relatively simple notion turns out to be very useful in study, analysis and presentation of numerous systems, modeled by graphs. Various properties of modeled systems, sometimes indistinct and uncertain, are expressed as formal properties of modeling graphs. The property of graphs, introduced in the presented article, is just of this kind. It has different meaningful interpretations in different situations, but generally it describes complexity, entanglement, perplexity, intricacy and other hardly defined, though important, properties of various systems. The introduced notion, named as graph entanglement, turns out to be useful, in particular, for analysis of stock market behavior. This special application seems important and perspective; its first detailed presentation is the main goal of the article. The applications of the notion of graph entanglement in other domains are demonstrated in publication [1 — 4] and are not considered here.
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