可信度研究的视觉分析:基于科学网络数据库的数据库
Zhen Zhang1,2, Wenqing Deng1, Yuxin Wang1
1Faculty of Education, Henan Normal University, Xinxiang, China.
Frontiers in psychology
|June 10, 2024
概括
值得信赖的研究量有所增长,主要集中在欧洲和美国. 确定了关键的机构和作者,强调了需要改善作者在这个领域的合作.
科学领域:
- 社会科学 社会科学 社会科学
- 心理学 心理学 心理学
- 计算机科学 计算机科学
背景情况:
- 可信度是信任的关键预测因素,但研究结果是分散的,难以应用.
- 对可信度的实证研究有着悠久的历史,但实际应用仍然是学术界面临的挑战.
- 了解可信度研究的演变对于理论进步和实际实施至关重要.
研究的目的:
- 绘制过去十年可信度研究知识网络的地图.
- 识别关键趋势,有影响力的机构和该领域的领先研究人员.
- 为未来的研究和可信度的实际应用提供可操作的见解.
主要方法:
- 从科学网络数据库中对1463篇出版物的图书法分析.
- 使用CiteSpace (6.2.R4) 软件可视化研究网络.
- 分析出版量,地理分布,机构生产力,主要作者和核心期刊.
主要成果:
- 在过去10年中,可信度研究的数量普遍增加.
- 研究集中在工业化欧洲和美国,美国在全球影响力更大.
- 识别领先的机构 (如加利福尼亚大学系统,哈佛大学,耶鲁大学) 和关键研究人员 (如亚历山大·托多罗夫).
- 核心作者是杰出的学者,但他们的合作水平需要改进.
- 主要期刊包括"人格与社会心理学杂志"和"生物学信件".
- 研究领域包括社会感知,面部线索和人工智能.
结论:
- 可信度研究正在扩大,来自美国和欧洲机构的重大贡献.
- 虽然主要人物和机构是可以识别的,但加强核心作者之间的合作是必不可少的.
- 该研究提供了一个可视化的知识地图,以指导未来的可信度研究和实际应用.
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