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Information Densification of Social Constructs via Behavior Analysis of Social Media Users - A Study on Twitter

机译:通过社交媒体用户的行为分析对社会建构进行信息致密化-Twitter研究

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摘要

We live in a digital era where everyday activities are increasingly being replaced by online interactions. In addition, technology advances and data availability are changing the way we expand our knowledge about ourselves, society, and the environment. The increasing availability of data, especially social media data, has called the attention of researchers, and we have been witnessing an outbreak in studies relying on this rich source of information. However, most social media research is tuned to improve the outcomes of specific problems. Therefore, the reuse of techniques used in different areas is limited to data specialists. We propose a straightforward data-driven methodology to perform exploratory analysis of social media data by processing the unstructured stream of social data into user characterization. Emergent collective behaviors are obtained by aggregating individual characterizations. The structured representations are analyzed using Statistics and Data Science techniques. The results highlight the methodology generalization capacity, since we apply it in three different domains: (i) sports, characterizing football supporters; (ii) culture, characterizing languages; and (iii) health, characterizing organ donation awareness. Finally, the knowledge extracted from these applications (experience) serve as input to further research; we propose a measure for social disorganization using the diversity of supporters in a region, and we show language network centralities as proxy for quality of life.
机译:我们生活在数字时代,在线互动日益取代了日常活动。此外,技术的进步和数据的可用性正在改变我们扩展自身,社会和环境知识的方式。数据(尤其是社交媒体数据)的可用性不断提高,引起了研究人员的注意,并且我们已经目睹了依赖这种丰富信息源的研究的爆发。但是,大多数社交媒体研究都经过调整以改善特定问题的结果。因此,在不同领域中重复使用的技术仅限于数据专家。我们提出了一种简单的数据驱动方法,通过将社交数据的非结构化流处理为用户特征来执行社交媒体数据的探索性分析。新兴的集体行为是通过汇总个体特征获得的。使用统计和数据科学技术分析结构化表示。结果强调了方法论的综合能力,因为我们将其应用于三个不同的领域:(i)体育,表征足球的支持者; (ii)文化,语言特征; (iii)健康,表征器官捐赠意识。最后,从这些应用程序中提取的知识(经验)可作为进一步研究的输入。我们提出了一种利用区域支持者多样性来解决社会混乱的措施,并且我们将语言网络的中心性作为生活质量的代表。

著录项

  • 作者

    Pacheco, Diogo F.;

  • 作者单位

    Florida Institute of Technology.;

  • 授予单位 Florida Institute of Technology.;
  • 学科 Computer science.
  • 学位 Ph.D.
  • 年度 2017
  • 页码 213 p.
  • 总页数 213
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 农学(农艺学);
  • 关键词

  • 入库时间 2022-08-17 11:53:29

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