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Scientific collaboration in Zika: identification of the leading research groups and researchers via social network analysis

机译:Zika中的科学合作:通过社交网络分析确定领先的研究小组和研究人员

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The association between Zika and microcephaly drew international attention to Brazil. The emergency situation demanded speed and collective effort by researchers worldwide, and Science was quick to investigate the disease and publish the results. Scientific knowledge was created and disseminated through collaboration in this process. Publications are still the best way of disseminating scientific knowledge. They allow to record progress in a field of studies and observe how scientists collaborate to produce advances as new knowledge and technologies are generated. An effective way to map such advances is to analyze scientists’ Social Networks (relationship and collaboration networks), since collaboration is currently an intrinsic characteristic of modern science. Co-authorship of publications is thus an important indicator of scientific collaboration for understanding progress in various areas of Science. The current study aimed to use a generalizable method for mapping and analyzing the Scientific Social Network formed in the domain of Zika, demonstrating how scientists collaborated to produce the main research results, identifying the leading research groups on Zika and the most influential researchers. Social Network Analysis was applied to the co-authorship networks formed from 2015 to 2016. The study showed that a Zika researcher’s influence is basically determined by three factors: (a) number of publications; (b) diversified partnerships; and (c) the links established with the research area’s pioneers.
机译:寨卡病毒与小头畸形之间的联系引起了国际社会对巴西的关注。紧急情况要求全球研究人员加快速度和集体努力,《科学》杂志迅速调查了这种疾病并发表了结果。通过在此过程中的协作来创建和传播科学知识。出版物仍然是传播科学知识的最好方法。他们可以记录研究领域的进展,并观察科学家如何协作以产生新知识和新技术。映射此类进展的有效方法是分析科学家的社交网络(关系和协作网络),因为协作目前是现代科学的固有特征。因此,出版物的共同作者是科学合作以了解科学各个领域进展的重要指标。当前的研究旨在使用一种可概括的方法来绘制和分析在Zika领域中形成的科学社会网络,展示科学家如何合作产生主要研究结果,确定Zika上的领先研究小组和最具影响力的研究人员。社交网络分析被应用于2015年至2016年形成的共同作者网络。研究表明,寨卡研究人员的影响力基本上由三个因素决定:(a)出版物数量; (b)多元化的伙伴关系; (c)与研究领域的先驱建立的联系。

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