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Co-authorship networks and research impact: A social capital perspective

机译：共同作者网络和研究影响：社会资本视角

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摘要

The impact or research work is related to a scholar s reputation and future promotions. Greater research impact not only inspires scholars to continue their research, but also increases the possibility of a larger research budget from sponsors. Given the importance of research impact, this study proposes that utilizing social capital embedded in a social structure is an effective way to achieve more research impact. The contribution of this study is to define six indicators of social capital (degree centrality, closeness centrality, betweenness centrality, prolific co-author count, team exploration, and publishing tenure) and investigate how these indicators interact and affect citations for publications. A total of 137 Information Systems scholars from the Social Science Citation Index database were selected to test the hypothesized relationships. The results show that betweenness centrality plays the most important role in taking advantage of non-redundant resources in a co-authorship network, thereby significantly affecting citations for publications. In addition, we found that prolific co-author count, team exploration, and publishing tenure all have indirect effects on citation count. Specifically, co-authoring with prolific scholars helps researchers develop centralities and, in turn, generate higher numbers of citations. Researchers with longer publishing tenure tend to have higher degree centrality. When they collaborate more with different scholars, they achieve more closeness and betweenness centralities, but risk being distrusted by prolific scholars and losing chances to co-author with them. Finally, implications of findings and recommendations for future research are discussed.
机译：影响或研究工作与学者的声誉和未来的晋升有关。更大的研究影响力不仅激发学者继续他们的研究，而且增加了赞助者提供更大研究预算的可能性。考虑到研究影响的重要性，本研究提出利用嵌入社会结构中的社会资本是获得更多研究影响的有效方法。这项研究的目的是定义社会资本的六个指标（程度中心性，亲密性中心性，中间性中心性，多作者合计，团队探索和出版任期），并研究这些指标如何相互作用并影响出版物的引用。从社会科学引文索引数据库中总共选择了137名信息系统学者来检验假设的关系。结果表明，居间中间性在利用共同作者网络中的非冗余资源方面发挥着最重要的作用，从而显着影响出版物的引用。此外，我们发现多作者合计，团队探索和出版任期都对引文数有间接影响。具体来说，与多产的学者合着有助于研究人员提高中心性，进而产生更多的引用。任期较长的研究人员往往具有较高的学位中心度。当他们与不同的学者进行更多的合作时，他们会获得更多的亲密关系和中间性中心，但是冒着被多产的学者不信任的风险，并且失去了与他们合著的机会。最后，讨论了发现和建议对未来研究的意义。

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