学位论文致谢文本中科研人员隐性社会关系的挖掘及与科研合作关系的关联性研究

杨晓, 丁良萍, 冯凌子, 袁军鹏

知识管理论坛 ›› 2025, Vol. 10 ›› Issue (6) : 535-552.

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知识管理论坛 ›› 2025, Vol. 10 ›› Issue (6) : 535-552. DOI: 10.13266/j.issn.2095-5472.2025.036  CSTR: 32306.14.CN11-6036.2025.036
研究论文

学位论文致谢文本中科研人员隐性社会关系的挖掘及与科研合作关系的关联性研究

作者信息 +

Uncover the Hidden Social Relationships between Researchers and Understand the Overlap between Social Relationships and Collaboration by using the Dissertation Acknowledgment

Author information +
文章历史 +

摘要

【目的/意义】通过对博士学位论文致谢文本的分析,揭示其中所蕴含的、超越正式学术合作网络的多元社会关系,以期深化对学术社交网络的认知,并为探究学术社会资本与青年科研人员培养提供新的证据。【方法/过程】使用LAC方法抽取和识别博士学位论文致谢文本中致谢语句所提及的被致谢人及其社会关系,进而分析被致谢人和博士学位论文作者之间的社会关系与其科研合作关系之间的关联情况。【结果/结论】致谢文本中提及的多数社会关系并未转化为正式的科研合作关系,这说明致谢文本可以很好地补充传统合作数据难以捕捉的隐性社会关系,如指导关系、评阅关系、同级关系、同门关系、学术朋友以及家人关系等。同时发现,近一半的科研合作关系可在博士在学阶段发现,这表明致谢文本中体现的社会关系对科研成果的产出与发表确有实质作用,其中指导关系和同门关系是合作最密切的两类关系,侧面揭示青年科研人员在学术生涯早期的科研合作特征。此外,还发现致谢中对他人的致谢顺序、关系类型与科研合作强度存在显著相关性,说明社会关系网络对青年科研人员的学术成长有不可忽视的重要影响。

Abstract

[Purpose/Significance] The paper aims to reveal richer social relationships beyond formal collaboration networks from the acknowledgment text of the doctoral dissertation, deepen our perception of academic social networks, and provide new evidence for understanding academic social capital and the cultivation of young researchers. [Method/Process] This paper had used the LAC model to extract and identify the people being acknowledged and their social relationships mentioned in the acknowledgment sentences of the acknowledgment text of doctoral dissertations, and had then analyzed the correlation between the social relations between the persons acknowledged and the authors of doctoral dissertations (hereinafter referred to as "dissertation authors") and their cooperation relations in academic publications. [Result/Conclusion] Most of the social relationships mentioned in the acknowledgments did not translate into formal research collaborations. This indicates that acknowledgments can effectively capture implicit social relationships that are often overlooked in traditional collaboration datasets, such as mentorship, peer review, peer networks, academic friendships, and family support. The study shows that nearly half of research collaborations can be traced back to the doctoral stage, demonstrating that social relationships highlighted in acknowledgments have a substantial impact on research output and publication. Among these, mentorship and peer relationships represent the closest types of collaboration, indirectly revealing the patterns of research collaboration among early-career researchers. Moreover, a significant correlation was observed between the order of mention in acknowledgments, the type of relationship, and the intensity of research collaboration, indicating that social networks play a critical and tangible role in the academic growth of early-career researchers.

关键词

社会关系 / 关系抽取 / 科研人员 / 博士学位论文致谢 / 科研成果

Key words

social relationships / relation extraction / researchers / doctoral dissertation acknowledgments / research paper

引用本文

导出引用
杨晓 , 丁良萍 , 冯凌子 , . 学位论文致谢文本中科研人员隐性社会关系的挖掘及与科研合作关系的关联性研究[J]. 知识管理论坛. 2025, 10(6): 535-552 https://doi.org/10.13266/j.issn.2095-5472.2025.036
Yang Xiao , Ding Liangping , Feng Lingzi , et al. Uncover the Hidden Social Relationships between Researchers and Understand the Overlap between Social Relationships and Collaboration by using the Dissertation Acknowledgment[J]. Knowledge Management Forum. 2025, 10(6): 535-552 https://doi.org/10.13266/j.issn.2095-5472.2025.036
中图分类号: G250.252   

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作者贡献声明/Author contributions:

杨 晓:研究思路设计,实验执行与数据收集,数据分析与结果解读,论文撰写;

丁良萍:研究思路完善,数据抓取与分析,论文撰写与修改;

冯凌子:研究问题提出与设计,数据收集,论文撰写与修改;

袁军鹏:研究问题提出与设计,论文修改与审核。


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