The identification of focal groups with social interest based on dynamic clusters

J. Andrade, F. A. Jarrin, J. A. Mocha-B, A. H. F. Gomez, R. Correa
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Abstract

The study of mechanisms to faciliate the economic development of social groups is of vital importance to social scientists. One of the major contributions to development is the creation of economic clusters that are used together to achieve specific objectives. This consists of identifying business groups, companies, or muncipalities that are spacely disseminated. In this research, we propose a methodolgy, focuses on the results of thematic space analysis to obtain dynamic clusters that have a direct relationship with social associations. The results shows that there is a direct relationship between business potential and centroid groups, which are not excusively tied to distances between places. Although this work is only in its development stages, one of the primary conclusions is that it is possile to take advantage of the centroid space for group collaboration, which will help us to carry out future researchs in this field, and which will be addressed in other lab work.
基于动态集群的社会利益焦点群体识别
研究促进社会群体经济发展的机制对社会科学家来说至关重要。对发展的主要贡献之一是创造经济集群,共同用于实现具体目标。这包括确定在空间上传播的商业团体、公司或市政当局。在本研究中,我们提出了一种方法,以主题空间分析的结果为重点,获得与社会关联有直接关系的动态集群。研究结果表明,商业潜力与质心群之间存在直接关系,而质心群与地点之间的距离并不完全相关。虽然这项工作仅处于开发阶段,但主要结论之一是可以利用质心空间进行小组协作,这将有助于我们开展该领域的未来研究,并将在其他实验室工作中解决。
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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