合贡献者网络的结构特征及其合作群体识别应用研究

doi:10.3772/j.issn.1000-0135.2024.07.002

情报学报

2024, Vol. 43

Issue (7): 773-788 DOI: 10.3772/j.issn.1000-0135.2024.07.002

情报理论与方法

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合贡献者网络的结构特征及其合作群体识别应用研究

卢超¹, 李梦婷¹, 陈秀娟², 董克^3,4, 魏瑞斌⁵

1.河海大学商学院,南京 211100
2.南京师范大学新闻与传播学院,南京 210097
3.南京大学数据管理创新研究中心,苏州 215163
4.南京大学数据智能与交叉创新实验室,南京 210023
5.安徽财经大学管理科学与工程学院,蚌埠 233030

Structural Characteristics of the Co-contributorship Network and Its Application in Collaborative Group Identification

Lu Chao¹, Li Mengting¹, Chen Xiujuan², Dong Ke^3,4, Wei Ruibin⁵

1.Business School, Hohai University, Nanjing 211100
2.School of Journalism and Communication, Nanjing Normal University, Nanjing 210097
3.Research Institute for Data Management & Innovation, Nanjing University, Suzhou 215163
4.Laboratory of Data Intelligence and Interdisciplinary lnnovation, Nanjing University, Nanjing 210023
5.School of Management Science and Engineering, Anhui University of Finance and Economics, Bengbu 233030

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摘要有组织科研团队建设有赖于对科研合作现象和规律的科学认识。常用于科研合作模式研究的合著者网络默认同一成果的合作者间贡献均等，但这通常与科研合作实践相左。作者贡献声明数据的出现为揭示更细粒度的合作实践提供了重要素材。为此，本研究提出一种利用贡献声明数据构建的新型合作网络——合贡献者网络，为深入研究科研合作问题提供新工具。本研究以PLoS（Public Library of Science）上的药学论文数据为例，以合著者网络为基准，从合贡献者网络的网络结构特征入手，认识此新型合作网络的物理性质；选取当前重要研究方向之一的“合作群体识别”为切入点，进一步认识合贡献者网络的应用价值。研究结果表明：①在网络结构形态上，合贡献者网络比合著者网络更稀疏；②在合作群体识别上，两种网络的群体识别结果部分一致，重合度约为57%；约32%的合作群体在合贡献者网络上发生了重组；③合贡献者网络中的合作群体发文主题比合著者网络更为聚焦，但检验结果并不显著。总体来看，在本研究的数据集上，合贡献者网络较之合著者网络显示出更良好的社区结构；合贡献者网络有助于识别出更细粒度的合作群体，且在所识别的合作群体上发文主题的一致性更高。

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关键词 ：科研合作, 合著者网络, 作者贡献声明, 合贡献者网络

收稿日期: 2023-03-17

基金资助:国家自然科学基金青年科学基金项目“劳动分工视角下科研合作者的科研效能研究”（72004054）；江苏省高等学校基础科学（自然科学）研究面上项目“重大突发公共卫生事件中疫苗研发领域的国际科研合作布局与产出效益研究”（21KJB630008）；中央高校基本科研业务经费专项资金项目“科研团队多样性对科研绩效的因果效应研究”（B220201058）；江苏省社会科学基金后期资助项目“我国NSFC国际合作研究项目国际合作特征与产出规律研究”（21HQ038）。

作者简介: 卢超，男，1991年生，博士，副教授，硕士生导师，研究方向为科学学、科研合作；李梦婷，女，2000年生，硕士研究生，研究方向为学术文本挖掘；陈秀娟，女，1989年生，博士，副教授，硕士生导师，研究方向为科研合作、开放科学；董克，男，1986年生，博士，副教授，博士生导师，研究方向为文献计量；魏瑞斌，通信作者，男，1973年生，博士，教授，硕士生导师，研究方向为科学计量、信息组织，E-mail：rbwxy@126.com；

引用本文:

卢超, 李梦婷, 陈秀娟, 董克, 魏瑞斌. 合贡献者网络的结构特征及其合作群体识别应用研究[J]. 情报学报, 2024, 43(7): 773-788.
Lu Chao, Li Mengting, Chen Xiujuan, Dong Ke, Wei Ruibin. Structural Characteristics of the Co-contributorship Network and Its Application in Collaborative Group Identification. 情报学报, 2024, 43(7): 773-788.

链接本文:

https://qbxb.istic.ac.cn/CN/10.3772/j.issn.1000-0135.2024.07.002 或 https://qbxb.istic.ac.cn/CN/Y2024/V43/I7/773

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