当前位置: X-MOL 学术Scientometrics › 论文详情
Our official English website, www.x-mol.net, welcomes your feedback! (Note: you will need to create a separate account there.)
Acknowledgement network and citation count: the moderating role of collaboration network
Scientometrics ( IF 3.9 ) Pub Date : 2021-07-10 , DOI: 10.1007/s11192-021-04090-y
Shanwu Tian 1 , Ping Li 1 , Xiurui Xu 2
Affiliation  

The scholars mentioned in a paper’s acknowledgement (acknowledgees) play an important role in the paper’s development and citation count. However, there are exiguous studies have been conducted on the acknowledgees from a network perspective. Based on the social network theory, we propose that the citation count of a paper is greatly affected by the acknowledgement network. The collaboration network is expected to negatively moderate the relationship between acknowledgement network and citation count. We establish the acknowledgement network with nodes as acknowledgees and authors, and ties as acknowledgement relationship between them. Using the bibliographic data of scientific articles from 2008 to 2010 in the field of wind energy as sample, which is provided by Web of Science Core Collection database, we build both acknowledgement network and collaboration network. Negative binomial regression model and several robustness tests are used as our research methods. The results show that acknowledgees’ centrality in the acknowledgement network has a positive effect on citation count. The authors’ centrality in the collaboration network negatively moderates the relationship between acknowledgees’ centrality and citation count. Specifically, the higher the author’s centrality in the collaboration network, the more likely the effect of acknowledgees’ centrality on the paper’s citation count will be inhibited. Finally, the theoretical and methodological contributions as well as practical implications are discussed.



中文翻译:

致谢网络和引用计数:协作网络的调节作用

论文致谢(acknowledgees)中提到的学者对论文的发展和被引次数起着重要作用。然而,从网络的角度对确认者进行了大量的研究。基于社交网络理论,我们提出论文的引用次数受确认网络的影响很大。协作网络有望负面调节确认网络与引用计数之间的关系。我们建立以节点为被确认者和作者的确认网络,并在它们之间建立确认关系。以Web of Science Core Collection数据库提供的2008-2010年风能领域科学论文的书目数据为样本,我们建立了确认网络和协作网络。负二项式回归模型和若干稳健性检验被用作我们的研究方法。结果表明,确认网络中确认者的中心性对引用计数有积极影响。作者在协作网络中的中心性消极地调节了承认者的中心性和引用计数之间的关系。具体而言,作者在协作网络中的中心性越高,致谢者中心性对论文引用计数的影响就越有可能受到抑制。最后,讨论了理论和方法论的贡献以及实际意义。结果表明,确认网络中确认者的中心性对引用计数有积极影响。作者在协作网络中的中心性消极地调节了承认者的中心性和引用计数之间的关系。具体而言,作者在协作网络中的中心性越高,致谢者中心性对论文引用计数的影响就越有可能受到抑制。最后,讨论了理论和方法论的贡献以及实际意义。结果表明,确认网络中确认者的中心性对引用计数有积极影响。作者在协作网络中的中心性消极地调节了承认者的中心性和引用计数之间的关系。具体而言,作者在协作网络中的中心性越高,致谢者中心性对论文引用计数的影响就越有可能受到抑制。最后,讨论了理论和方法论的贡献以及实际意义。作者在协作网络中的中心性越高,致谢者中心性对论文引用计数的影响就越有可能被抑制。最后,讨论了理论和方法论的贡献以及实际意义。作者在协作网络中的中心性越高,致谢者中心性对论文引用计数的影响就越有可能被抑制。最后,讨论了理论和方法论的贡献以及实际意义。

更新日期:2021-07-12
down
wechat
bug