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首页> 外文期刊>International journal of adaptive, resilient, and autonomic systems >Stress Diffusion through Complex Networks
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Stress Diffusion through Complex Networks

机译：通过复杂网络的应力扩散

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Research has proven that stress reduces quality of life and causes many diseases. It is not clear how stress spreads among the population and how its diffusion in a society can be estimated. From a complex system perspective, this paper defines the rules of stress transmission, including input and output factors. Stress transmission flow is defined to describe an entropy-derived measure of stress between two interconnected individuals, and the analysis is extended to networked individuals to analyze stress diffusion in a theoretical setting that includes the modeling of complex networks and the use of agent-based models in a simulated framework. These approaches endow artificial, interacting agents with behavioral rules, allowing the authors to determine the important components that must be considered as the nature of the equilibrium that exists between two distinctly different classifications of individuals. The first classification is "isolated individuals " who experience self-induced stress. The second classification consists of "too connected individuals " who have a high perception of social pressure, have a higher probability of being stressed, andwho are surrounded by a higher number of stressed people.
机译：研究证明，压力会降低生活质量并导致多种疾病。尚不清楚压力如何在人群中扩散以及如何估计其在社会中的扩散。从复杂的系统角度来看，本文定义了应力传递的规则，包括输入和输出因子。定义了应力传递流来描述两个互连的个体之间基于熵的应力测度，并将分析扩展到联网的个体，以在理论环境中分析应力扩散，包括复杂网络的建模和基于代理的模型的使用在模拟框架中。这些方法赋予人为的，相互作用的行为准则，使作者能够确定重要的组成部分，必须将其视为两个明显不同的个体分类之间存在的均衡性质。第一类是经历自我诱发的压力的“孤立的个体”。第二类是由“过度联系的个人”组成的，他们对社会压力的认识很高，承受压力的可能性较高，并且周围有大量的压力人群。

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