A model of quantifying social relationships

Disa Sariola
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Abstract

This article proposes a mathematical model for quantifying relationships between agents within a network based on their similarity, dissimilarity, level of friendship, group and activity status of the agent. We propose a set of functions to facilitate quantifying social dynamics. Our functions cover the comparison of an agent with group and comparing a group with groups based on their set of attributes. We also propose a model of comparison for agent vs. agent based on their attributes, features and the likelihood of attribute similarity between agents. The model employs a method of determining connection probabilities between nodes in order to find hidden connections between agents. We build on existing work in the study of social networks.
量化社会关系的模型
本文提出了一种基于相似性、差异性、友谊程度、群体和活动状态的网络主体之间关系量化的数学模型。我们提出了一套功能,以方便量化社会动态。我们的函数涵盖了代理与组的比较,以及基于组的属性集对组与组的比较。我们还提出了一个基于agent与agent之间的属性、特征和属性相似性的比较模型。该模型采用一种确定节点间连接概率的方法来寻找智能体之间的隐藏连接。我们以现有的社会网络研究成果为基础。
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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