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Updated: Oct 31, 2025

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The HoneyComb Paradigm for Research on Collective Human Behavior
Published on: January 19, 2019
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21世纪人类社会的有意义的衡量标准
David Lazer1,2, Eszter Hargittai3, Deen Freelon4
1Network Science Institute, Northeastern University, Boston, MA, USA. d.lazer@northeastern.edu.
Nature
|July 1, 2021
概括
现在科学家可以观察到比以往更多的人类行为, 但从这些数据中提取科学意义存在重大挑战. 需要新的理论和方法来有效地分析这些信息.
科学领域:
- 社会科学
- 数据科学
- 社会学
背景情况:
- 现代科学受到可观测和可测量的现象的限制.
- 由于数据的可用性增加,21世纪为人类社会研究提供了独特的机会.
- 行为数据,从沟通到运动,
研究的目的:
- 评估大量仪器观测和量化人类行为的潜力.
- 探索从最初不是为了研究目的而收集的数据中提取科学意义的方法.
- 解决大规模行为数据所带来的概念,计算和道德挑战.
主要方法:
- 对行为数据应用的科学测量原理的分析.
- 对人类行为的结构化表现和量化技术的评估.
- 审查现有和潜在的数据管理,利用和分析方法.
主要成果:
- 现在可以获得大量的行为数据, 超过了以前的科学能力.
- 在解释和利用非科学研究数据方面存在重大挑战.
- 目前的科学理论可能不足以解决现代数据的复杂性.
结论:
- 为了跟上数据采集能力的步伐, 科学理论的更新至关重要.
- 需要新的方法来管理,使用和分析大型行为数据集.
- 弥合数据可用性和科学理解之间的差距对于社会科学的进步至关重要.
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