The objective of this research was to determine the macro-topological structure and the relationship between citation performance and centrality measures of co-authorship social networks of countries in the field of Nuclear Science and Technology from 2008 to 2010. The present study applied the network analysis method in order to visualize co-authorship networks. Hypothesized relationships were tested using the authors of 24,308 documents cited in the Web of Science. Data relevant to citation performance of a country was based on the articles published by the researchers of the country in a three-year period and the citation data of articles were collected two years after their publication. The investigation of co-authorship social network in the field of Nuclear Science and Technology revealed that the countries which are members of a Nuclear Club hold a prominent position in the network and their influence or power in the network is greater than other countries. Having characteristics like short mean path length, low network diameter (less than or equal to 6) and relatively high clustering coefficient, this network is regarded as a Small World Network. The results of testing the research hypotheses indicated that as the value of centrality of countries rise, the citation performance of researchers in that country is also improved. The analysis of variance confirmed the validity of stepwise regression analysis in predicting the citation performance of researchers (F=816.958 and p>0.000) and through three steps, three components including degree centrality, beta centrality and flow betweenness centrality were concluded to have multiple correlation with citation performance of researchers

中文翻译：

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国家在合着网络中的优势地位是否会导致其高引文表现？

本研究的目的是确定 2008 年至 2010 年核科学技术领域各国合着者社交网络的宏观拓扑结构以及引文表现与中心性度量之间的关系。本研究应用网络分析方法来可视化共同作者网络。使用 Web of Science 中引用的 24,308 篇文档的作者对假设关系进行了测试。一国引文表现相关数据以该国研究人员三年内发表的文章为基础，论文发表两年后的引文数据收集。核科技领域合著者社交网络调查显示，核俱乐部成员国家在网络中的地位显着，其在网络中的影响力或权力大于其他国家。该网络具有平均路径长度短、网络直径小（小于或等于6）和较高的聚类系数等特点，被认为是一个小世界网络。对研究假设的检验结果表明，随着国家中心性值的上升，该国研究人员的引文表现也有所提高。方差分析通过三个步骤证实了逐步回归分析在预测研究人员引文表现方面的有效性（F=816.958，p>0.000），