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

Yang Xiao, Ding Liangping, Feng Lingzi, Yuan Junpeng

Knowledge Management Forum ›› 2025, Vol. 10 ›› Issue (6) : 535-552.

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Knowledge Management Forum ›› 2025, Vol. 10 ›› Issue (6) : 535-552. DOI: 10.13266/j.issn.2095-5472.2025.036  CSTR: 32306.14.CN11-6036.2025.036

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

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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.

Key words

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

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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

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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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